A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences | Paper Citation Record

Observation 7f27a137-dbd6-409a-9723-7a632ec1fac9 · outbound

This paper cites WIREs Computational Statistics16(1), 1645 (2024) https://doi.org/10.1002/wics.1645 https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1645.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences WIREs Computational Statistics16(1), 1645 (2024) https://doi.org/10.1002/wics.1645 https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1645

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:05.901999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff59a67e-f833-4877-8aae-e5b03c7653a2 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology)63(3), 425–464 (2001).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of the Royal Statistical Society: Series B (Statistical Methodology)63(3), 425–464 (2001)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:05.967408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483b6c0d-3c83-4753-a4be-a7df02a26cef · outbound

This paper cites Journal of Computational Physics545, 114469 (2026) https://doi.org/10.1016/ j.jcp.2025.114469.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of Computational Physics545, 114469 (2026) https://doi.org/10.1016/ j.jcp.2025.114469

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:06.011471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090ca3a0-ebbe-48ec-b26d-17ef4bdf0077 · outbound

This paper cites https://arxiv.org/abs/2509.18998.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences https://arxiv.org/abs/2509.18998

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:06.216336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37cb6b4c-1f2b-4fa7-b446-53ea7f9e70e3 · outbound

This paper cites Automatica39(4), 669–676 (2003) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Automatica39(4), 669–676 (2003) https://doi.org/10

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:06.329917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6bee313-3f3b-4b50-bc9d-cbee3a9f8593 · outbound

This paper cites PLOS Computational Biology19(11), 1–26 (2023) https: //doi.org/10.1371/journal.pcbi.1011111.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences PLOS Computational Biology19(11), 1–26 (2023) https: //doi.org/10.1371/journal.pcbi.1011111

Reference 6

Resolution: verified exact; doi, observed 2026-08-03T06:28:33.075111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c2a37dd-ec4f-4d65-8970-25e1a1c4731e · outbound

This paper cites SIAM Journal on Scientific Computing26(2), 448–466 (2004) https://doi.org/10.1137/ S1064827503426693.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences SIAM Journal on Scientific Computing26(2), 448–466 (2004) https://doi.org/10.1137/ S1064827503426693

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:06.567050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac33917-ae12-4800-b50f-be6b16e6abe7 · outbound

This paper cites Journal of the American Statistical Association 103(482), 570–583 (2008) https://doi.org/10.1198/016214507000000888.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of the American Statistical Association 103(482), 570–583 (2008) https://doi.org/10.1198/016214507000000888

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:06.676458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6d43952-84f2-4321-bb15-32c82ace14ae · outbound

This paper cites Archives of Computational Methods in Engineering27(2), 361–385 (2020) https://doi.org/ 10.1007/s11831-018-09311-x.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Archives of Computational Methods in Engineering27(2), 361–385 (2020) https://doi.org/ 10.1007/s11831-018-09311-x

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:06.855226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49b45fb-4527-49de-b231-abc8cafe1d5b · outbound

This paper cites Journal of the Mechanics and Physics of Solids149, 104284 (2021) https://doi.org/10.1016/j.jmps.2020.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of the Mechanics and Physics of Solids149, 104284 (2021) https://doi.org/10.1016/j.jmps.2020

Reference 10

Resolution: verified exact; doi, observed 2026-08-03T06:28:32.874779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c345790-5f97-40b6-92b4-bdc200391d2a · outbound

This paper cites Bayesian Analysis1(4), 765–792 (2006) https://doi.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Bayesian Analysis1(4), 765–792 (2006) https://doi

Reference 11

Resolution: verified exact; doi, observed 2026-08-03T06:28:32.651353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc1bb556-63e5-4aef-9c4e-a4be73c7014c · outbound

This paper cites Reliability Engineering & System Safety91(10), 1290–1300 (2006) https://doi.org/10.1016/ j.ress.2005.11.025.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Reliability Engineering & System Safety91(10), 1290–1300 (2006) https://doi.org/10.1016/ j.ress.2005.11.025

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:07.343404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a7f2a6-3266-4c37-8797-6225cb03f84d · outbound

This paper cites SAE International Journal of Passenger Cars - Mechanical Systems8(2), 415–420 (2015) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences SAE International Journal of Passenger Cars - Mechanical Systems8(2), 415–420 (2015) https://doi.org/10

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:07.511702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36658f8-a549-41d0-a1e7-bb56bea06cbf · outbound

This paper cites Energy and Buildings174, 527–547 (2018) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Energy and Buildings174, 527–547 (2018) https://doi.org/10

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:07.681474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e67ba82-ba0b-4bfc-91e2-5dfed6c979f8 · outbound

This paper cites an unresolved cited work.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:07.855174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af5ad30-d196-4b4e-baf9-36cfae7a2724 · outbound

This paper cites Bul- letin of Mathematical Biology79(4), 939–974 (2017) https://doi.org/10.1007/ s11538-017-0258-5.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Bul- letin of Mathematical Biology79(4), 939–974 (2017) https://doi.org/10.1007/ s11538-017-0258-5

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:08.020475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050009c2-bbe8-4e86-b582-d7048096e1a2 · outbound

This paper cites Archives of Computational Methods in Engineering30(5), 2859–2888 (2023) https://doi.org/10.1007/s11831-023-09888-y.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Archives of Computational Methods in Engineering30(5), 2859–2888 (2023) https://doi.org/10.1007/s11831-023-09888-y

Reference 17

Resolution: verified exact; doi, observed 2026-08-03T06:28:32.338123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14e8ce4c-39af-41d2-a0ed-8f6d4c580ac4 · outbound

This paper cites Materials13(19) (2020) https://doi.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Materials13(19) (2020) https://doi

Reference 18

Resolution: verified exact; doi, observed 2026-08-03T06:28:32.230040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3501360-bf23-405e-8e94-a3cfe2054ad6 · outbound

This paper cites Geosci- entific Model Development18(20), 7501–7527 (2025) https://doi.org/10.5194/ gmd-18-7501-2025.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Geosci- entific Model Development18(20), 7501–7527 (2025) https://doi.org/10.5194/ gmd-18-7501-2025

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:08.324180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3136ca4-6bb7-43e3-a1e9-9c2c7605fb7a · outbound

This paper cites Journal of Machine Learning Research24, 1–35 (2023).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of Machine Learning Research24, 1–35 (2023)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.377652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c8fe61-b8f7-4e74-a8be-bf0008ef8f3f · outbound

This paper cites Preprint, University of Luxembourg (2024).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Preprint, University of Luxembourg (2024)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.454193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b8fd05-a2f8-446f-9d40-2e5667f2fc3c · outbound

This paper cites Com- puters & Chemical Engineering179, 108430 (2023) https://doi.org/10.1016/j.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Com- puters & Chemical Engineering179, 108430 (2023) https://doi.org/10.1016/j

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:08.507548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fc9cb0-cba2-4163-b97e-ba48342f2740 · outbound

This paper cites Calibration of multi-physics computational models using Bayesian networks.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Calibration of multi-physics computational models using Bayesian networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.589257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13596811-c526-4cf3-b0de-b9d5066d0803 · outbound

This paper cites Bayesian Analysis, 1–30 (2022) https://doi.org/10.1214/21-BA1293.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Bayesian Analysis, 1–30 (2022) https://doi.org/10.1214/21-BA1293

Reference 24

Resolution: verified exact; doi, observed 2026-08-03T06:28:32.034464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89a69584-42d9-44d9-978d-1d601a208bab · outbound

This paper cites In: Biegler, L.T., Biros, G., Ghattas, O., Heinkenschloss, M., Keyes, D., Mallick, B.K., Tenorio, L., Bloemen Waanders, B., Willcox, K.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: Biegler, L.T., Biros, G., Ghattas, O., Heinkenschloss, M., Keyes, D., Mallick, B.K., Tenorio, L., Bloemen Waanders, B., Willcox, K

Reference 25

Resolution: verified exact; doi, observed 2026-08-03T06:28:31.789964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68ef69d9-9b9d-48cd-b600-0b01f3560abd · outbound

This paper cites CaliCo: a R package for Bayesian calibration.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences CaliCo: a R package for Bayesian calibration

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.804387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625f96e9-a8ed-4ace-8de7-177b679b2435 · outbound

This paper cites Software (2018).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Software (2018)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.888290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3593d4b1-86ab-4ab6-8aa2-310a657705f7 · outbound

This paper cites an unresolved cited work.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:08.972584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0f4caa-c37d-4188-a392-98762de73061 · outbound

This paper cites PeerJ Computer Science2, 55 (2016) https://doi.org/10.7717/ peerj-cs.55.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences PeerJ Computer Science2, 55 (2016) https://doi.org/10.7717/ peerj-cs.55

Reference 29

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:09.053892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187f7239-d535-4c8b-90ce-667429bb34e5 · outbound

This paper cites https://github.com/jamesbriant/KOH-GPJax (2023).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences https://github.com/jamesbriant/KOH-GPJax (2023)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.124504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491b030d-c83f-48b9-bef7-6f4b4141092d · outbound

This paper cites https://github.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences https://github

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.244605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760e0551-23e4-4a6d-a40c-7e20e97f7ba4 · outbound

This paper cites Supercurrent Reversal in Two-Dimensional Topological Insulators.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Supercurrent Reversal in Two-Dimensional Topological Insulators

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.298990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf90f2d-00e4-436a-a23b-47e822f37373 · outbound

This paper cites QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.365169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287ad798-b688-4c77-8532-ce88a60d684c · outbound

This paper cites GitLab (2026).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences GitLab (2026)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.453222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11593d48-516a-4d30-961e-3ec71dd301a1 · outbound

This paper cites ReadtheDocs (2026).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences ReadtheDocs (2026)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.523702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c0d28c-112a-4f05-902f-8138edd615fc · outbound

This paper cites Bayesian Analysis1(4), 765–792 (2006).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Bayesian Analysis1(4), 765–792 (2006)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.604030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc09446-a9cc-4568-ba8f-868a48745f86 · outbound

This paper cites Tree Physiology25(7), 915– 927 (2005) https://doi.org/10.1093/treephys/25.7.915.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Tree Physiology25(7), 915– 927 (2005) https://doi.org/10.1093/treephys/25.7.915

Reference 37

Resolution: verified exact; doi, observed 2026-08-03T06:28:31.591048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42eddd77-64d3-4fe1-a0b3-df5960126c63 · outbound

This paper cites an unresolved cited work.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.731721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90527a09-20b0-413e-bd78-8581f542d590 · outbound

This paper cites SIAM/ASA Journal on Uncertainty Quantification6(1), 151–179 (2018) https://doi.org/10.1137/ 15m1033162.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences SIAM/ASA Journal on Uncertainty Quantification6(1), 151–179 (2018) https://doi.org/10.1137/ 15m1033162

Reference 39

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:09.816740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f822d99-af8a-43e8-9800-791111359401 · outbound

This paper cites Nature Reviews Methods Primers1(1) (2021) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Nature Reviews Methods Primers1(1) (2021) https://doi.org/10

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.906148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c45d89-016c-418f-b66c-c4cf3a218332 · outbound

This paper cites Mathemat- ical Modeling and Computational Experiment1(4), 407–414 (1993).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Mathemat- ical Modeling and Computational Experiment1(4), 407–414 (1993)

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:09.991665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70567e2-88f3-451d-8838-2e987ff100ba · outbound

This paper cites Society for Industrial and Applied Mathemat- ics, Philadelphia, PA (2024).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Society for Industrial and Applied Mathemat- ics, Philadelphia, PA (2024)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.120953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb439f26-55d5-4640-98f5-e8f31670e582 · outbound

This paper cites Polymer Reaction Engineering11(3), 563–588 (2003).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Polymer Reaction Engineering11(3), 563–588 (2003)

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.240114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b50439d1-51f2-4f69-a090-3a3f21511624 · outbound

This paper cites One-loop Kubo estimations of the shear and bulk viscous coefficients for hot and magnetized Bosonic and Fermionic systems.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences One-loop Kubo estimations of the shear and bulk viscous coefficients for hot and magnetized Bosonic and Fermionic systems

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.295290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1940dd-7906-483d-b729-69bc3f44ab65 · outbound

This paper cites Com- puters & Chemical Engineering134, 106716 (2020) https://doi.org/10.1016/j.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Com- puters & Chemical Engineering134, 106716 (2020) https://doi.org/10.1016/j

Reference 45

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:10.346779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61173aad-a4bc-4817-8b52-60e1319c1e3e · outbound

This paper cites Fields Institute Monographs.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Fields Institute Monographs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.428537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6358fd64-1ccf-4b57-ab5a-9c20d275caac · outbound

This paper cites Springer Texts in Statistics.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Springer Texts in Statistics

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.559840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c9c5db1-3c47-43be-9f6e-ca31abeba7ad · outbound

This paper cites Springer, Singapore (2020).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Springer, Singapore (2020)

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.583981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9687c441-fdc9-4bff-9208-3a9fdbde9c25 · outbound

This paper cites Mecca- nica60, 1411–1436 (2025) https://doi.org/10.1007/s11012-025-01997-1 38.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Mecca- nica60, 1411–1436 (2025) https://doi.org/10.1007/s11012-025-01997-1 38

Reference 49

Resolution: verified exact; doi, observed 2026-08-03T06:28:31.315980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99635550-a44c-44e6-9f49-04c3715711f8 · outbound

This paper cites Springer series in statistics.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Springer series in statistics

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.834868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa432d1-6236-4d37-b879-5369d2bc270a · outbound

This paper cites Machine Learning45(1), 5–32 (2001) https://doi.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Machine Learning45(1), 5–32 (2001) https://doi

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:10.933796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985c4d13-8c47-4e67-ad6c-c3957e18ede5 · outbound

This paper cites MIT Press, Cambridge, Massachusetts (2006).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences MIT Press, Cambridge, Massachusetts (2006)

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.044408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1890634-5e61-4e95-99c5-e2c6f2b32598 · outbound

This paper cites Technometrics21(2), 55–61 (1979) https://doi.org/10.2307/1268522.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Technometrics21(2), 55–61 (1979) https://doi.org/10.2307/1268522

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.233248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4abffb-f978-4b57-9cb3-bf9f52282218 · outbound

This paper cites Journal of Quality Technology13(3), 174–183 (1981) https: //doi.org/10.1080/00224065.1981.11978748.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of Quality Technology13(3), 174–183 (1981) https: //doi.org/10.1080/00224065.1981.11978748

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.450667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6c0716-a0d9-42d5-9581-a7455ad426a7 · outbound

This paper cites In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.588637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f00c53b-9fac-4b3f-a523-9c6f8a866530 · outbound

This paper cites Computational Materials Science252, 113780 (2025).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Computational Materials Science252, 113780 (2025)

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.729093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f908cb5c-0516-494d-a0ea-8e31a4682b2e · outbound

This paper cites Chemometrics and Intelligent Laboratory Systems230, 104683 (2022) https://doi.org/10.1016/j.chemolab.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Chemometrics and Intelligent Laboratory Systems230, 104683 (2022) https://doi.org/10.1016/j.chemolab

Reference 57

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:11.839255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b1927b-6af4-45c2-8785-5c2634b50614 · outbound

This paper cites Machine Learning with Applications9, 100373 (2022) https://doi.org/10.1016/j.mlwa.2022.100373.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Machine Learning with Applications9, 100373 (2022) https://doi.org/10.1016/j.mlwa.2022.100373

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:11.920074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1135b8e-7120-48e6-8bcd-b63d561c587e · outbound

This paper cites In: Adams, R.P., Gogate, V.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: Adams, R.P., Gogate, V

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.027560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 449bd6e7-1fcb-4c32-8830-f83bb94533b9 · outbound

This paper cites In: Ruiz, F., Dy, J., Meent, J.-W.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: Ruiz, F., Dy, J., Meent, J.-W

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.118653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49de7ca-3392-4a81-a65b-25c6b1a58901 · outbound

This paper cites Dig- ital Discovery2(6), 1937–1956 (2023) https://doi.org/10.1039/D3DD00117B.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Dig- ital Discovery2(6), 1937–1956 (2023) https://doi.org/10.1039/D3DD00117B

Reference 61

Resolution: verified exact; doi, observed 2026-08-03T06:28:31.121199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c312abd6-4eb7-4f9c-9575-b18927f6a1d2 · outbound

This paper cites Advanced Intelligent Discovery, 202500054 https://doi.org/10.1002/aidi.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Advanced Intelligent Discovery, 202500054 https://doi.org/10.1002/aidi

Reference 62

Resolution: malformed identifier; doi_truncated, observed 2026-08-03T06:28:30.961177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1174926a-aba2-4657-b258-7a235fe331ce · outbound

This paper cites emcee: The MCMC Hammer.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences emcee: The MCMC Hammer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.484105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dee4188-d1bd-4023-9ea3-d2571c8ae0e6 · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.606316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb4475b-2036-45be-9b83-2cd350376325 · outbound

This paper cites Journal of Open Source Software8(86), 5428 (2023) https://doi.org/10.21105/joss.05428.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Journal of Open Source Software8(86), 5428 (2023) https://doi.org/10.21105/joss.05428

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.645137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac4ec449-8131-4164-a406-6a1951e06584 · outbound

This paper cites In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.695481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de052c59-0773-4595-a5e6-4a0343be744c · outbound

This paper cites International Journal for Numerical Methods in Engineering121(5), 904–924 (2019) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences International Journal for Numerical Methods in Engineering121(5), 904–924 (2019) https://doi.org/10

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.787180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2edf91e-f6ed-4056-840b-7b221cc4137c · outbound

This paper cites Scientific Reports 10(1), 17663 (2020) https://doi.org/10.1038/s41598-020-74394-1.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Scientific Reports 10(1), 17663 (2020) https://doi.org/10.1038/s41598-020-74394-1

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:12.879571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2f9005-b149-489c-aeea-9536c4e1c903 · outbound

This paper cites Dig- ital Discovery2(6), 1969–1979 (2023) https://doi.org/10.1039/D3DD00141E.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Dig- ital Discovery2(6), 1969–1979 (2023) https://doi.org/10.1039/D3DD00141E

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.045893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62d159c-eef6-4edb-9c13-b552853c6c85 · outbound

This paper cites Communi- cations in Applied Mathematics and Computational Science5(1), 65–80 (2010) https://doi.org/10.2140/camcos.2010.5.65.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Communi- cations in Applied Mathematics and Computational Science5(1), 65–80 (2010) https://doi.org/10.2140/camcos.2010.5.65

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.205542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de841546-8477-4437-87a7-9f5c0a30e776 · outbound

This paper cites Effective Sample Size for Importance Sampling based on discrepancy measures.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Effective Sample Size for Importance Sampling based on discrepancy measures

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.349050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f095dc1f-b621-4524-8234-6ee96f2e082a · outbound

This paper cites Statistical Science7(4), 457–472 (1992) https://doi.org/10.1214/ss/ 1177011136.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Statistical Science7(4), 457–472 (1992) https://doi.org/10.1214/ss/ 1177011136

Reference 72

Resolution: malformed identifier; no resolver link, observed 2026-08-03T06:25:13.421943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5e2dae-78d8-4364-85fa-66725a2b4db2 · outbound

This paper cites Statistical Science36(4), 518–529 (2021) https://doi.org/10.1214/20-STS812.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Statistical Science36(4), 518–529 (2021) https://doi.org/10.1214/20-STS812

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.495227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92aa245-2b4f-42b8-b95d-125fccea390b · outbound

This paper cites Bayesian Analysis16(2) (2021) https://doi.org/10.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences Bayesian Analysis16(2) (2021) https://doi.org/10

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.567463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d177e810-fc42-4521-9076-a3ebf0d8be0c · outbound

This paper cites The American Eco- nomic Review18(1), 139–165 (1928).

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences The American Eco- nomic Review18(1), 139–165 (1928)

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.677251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22a0892-3d55-4717-b317-db9e29def9ef · outbound

This paper cites data/experiments.dat.

A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences data/experiments.dat

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T06:25:13.785585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers