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Paper Citation Record · LEDGER

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework

As of 9 August 2026, this Paper Citation Record lists 100 of 199 outbound references and 0 inbound Pith citation observations for arXiv:2608.04631.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.04631 v1

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measured 100 of 199 reference resolution

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Reference resolution

100 of 199 outbound references displayed

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External citation measurements

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Outbound references

Observation 545200d7-6f6d-4d20-b87c-ef396500bc0e · outbound

This paper cites Journal of Business & Economic Statistics , Volume =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , Volume =

Reference 1

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of the American Statistical Association , volume=

Reference 2

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Fast and order-invariant inference in

Reference 3

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Econometrica , volume=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2006 , publisher=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework The Journal of Machine Learning Research , volume=

Reference 6

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Hierarchical shrinkage

Reference 7

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This paper cites Oil, Inflation Expectations, and Household Characteristics: A Nonlinear Heterogeneous Agent.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Oil, Inflation Expectations, and Household Characteristics: A Nonlinear Heterogeneous Agent

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This paper cites Drifts and volatilities: monetary policies and outcomes in the post.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Drifts and volatilities: monetary policies and outcomes in the post

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Were there regime switches in

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Nowcasting in a pandemic using non-parametric mixed frequency

Reference 11

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Linero , year=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework A Bayesian Gaussian Process Dynamic Factor Model

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework and Boivin, Jean and Eliasz, Piotr , title =

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Computational and Graphical Statistics , volume =

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Messner and Georg J

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Annual Review of Statistics and Its Applications , year=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Econometrica , volume=

Reference 18

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume =

Reference 19

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Machine learning the macroeconomic effects of financial shocks , journal =

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Federal Reserve Bank of Dallas Working Paper , volume=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Artificial Intelligence and Statistics , pages=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Adaptive shrinkage in

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Unresolved cited work

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework and Ng, Serena , journal=

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework McCracken and Serena Ng , title =

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Review of Economics and Statistics , volume=

Reference 27

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2018 , doi =

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Angrist and Oscar Jorda and Guido M

Reference 29

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Financial Economics , volume=

Reference 30

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework and Marcellino, Massimiliano , title=

Reference 31

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Bayesian additive regression trees using

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

Reference 33

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Forecasting using variational

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework On theory for

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Minnesota-type adaptive hierarchical priors for large

Reference 36

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Bayesian

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

Reference 38

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2006 , publisher=

Reference 39

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source=arxiv_source observed=2026-08-06T20:24:36.556097Z digest=sha256:b88d915da209402d5097f8ba3bc6438daaac7027626464193cad9c305ed501dd

Observation 506f4339-fa13-4ae2-9ddd-7ae456d65ad0 · outbound

This paper cites Gibbs sampling methods for.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Gibbs sampling methods for

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source=arxiv_source observed=2026-08-06T20:24:36.670607Z digest=sha256:ca4f3940b462606d3387fdb4401967f9d84daa8e41a08ec07e3354485d77af2b

Observation 6cb0900b-eed2-4df3-bb63-0b5b2e5d8590 · outbound

This paper cites Journal of Econometrics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Econometrics , volume=

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source=arxiv_source observed=2026-08-06T20:24:36.791676Z digest=sha256:43608e5cc30df8f6fea0ba336c4533fcce18b1d33c3eb2e03ed5f84f87664bbb

Observation 247d1058-d485-4f78-897b-89a4635df037 · outbound

This paper cites Quadratic.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Quadratic

Reference 42

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Observation ceaca8ce-1032-4f1e-87d6-889d8c84c7bc · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

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Observation 1047fa56-546c-4354-b964-724b65d6a757 · outbound

This paper cites Modelling the coherence in short-run nominal exchange rates: a multivariate generalized.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Modelling the coherence in short-run nominal exchange rates: a multivariate generalized

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Observation b3d2d468-78db-49b0-be08-0c3233080e4f · outbound

This paper cites Journal of Econometrics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Econometrics , volume=

Reference 45

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Observation 252b61ed-b732-4f6e-b080-4c8177da6ee3 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

Reference 46

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source=arxiv_source observed=2026-08-06T20:24:37.567339Z digest=sha256:433cfbaf7eded418455d8b7e91eaa906e5e32e84e91662eae38c79462de5a9b1

Observation 58951f35-3d8d-49bc-9138-a251dc4dca93 · outbound

This paper cites A new algorithm for structural restrictions in.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework A new algorithm for structural restrictions in

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raw_fallback, observed 2026-08-06T20:24:54.275046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T20:24:37.643696Z digest=sha256:68d0d00b3056684f0418e4352e4eec60a4f2ba555337fb30880041fd748139b5

Observation 4f1f4cde-7d83-4f6f-a151-601cd1b05e15 · outbound

This paper cites CEPR Discussion Paper Series , volume =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework CEPR Discussion Paper Series , volume =

Reference 48

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source=arxiv_source observed=2026-08-06T20:24:37.760344Z digest=sha256:507facc931c0a778b515185e1b3c85cf6d80b937e5ecf6c5dae0cbeea843f2e0

Observation fc361b8b-19f3-4a46-aa22-12601a2459af · outbound

This paper cites International Economic Review , year =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework International Economic Review , year =

Reference 49

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source=arxiv_source observed=2026-08-06T20:24:37.872814Z digest=sha256:99c91ff14dd4ba4bcc5c8b8083daec2ef90ad6c5e44026bb050d19eb08a4e420

Observation 59477c28-351a-4ced-9880-49d038f32bb2 · outbound

This paper cites Journal of Econometrics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Econometrics , volume=

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source=arxiv_source observed=2026-08-06T20:24:37.988851Z digest=sha256:7c7c98e406c1f0cc84d3e3bd730ec453b8d07d0a4f9e7b351b11e9cc9df57fb2

Observation e67e5299-8244-4acb-891c-0135129e810d · outbound

This paper cites Journal of the American Statistical Association , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of the American Statistical Association , volume=

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source=arxiv_source observed=2026-08-06T20:24:38.086563Z digest=sha256:967d3d0635770ad69955330f7d5556e2ee93baf0967bd49646361030b396d082

Observation 1494c466-02b5-4e3d-a2bd-e51e2f6ceb5d · outbound

This paper cites A unifying view of sparse approximate.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework A unifying view of sparse approximate

Reference 52

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source=arxiv_source observed=2026-08-06T20:24:38.177918Z digest=sha256:4c07eed765b30dd5bb6f1bc844cd3b79e7aa9bd2c2343da31f21d358649b1da9

Observation 40744775-a58c-4904-bce5-184852271c08 · outbound

This paper cites IEEE Signal Processing Letters , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework IEEE Signal Processing Letters , volume=

Reference 53

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source=arxiv_source observed=2026-08-06T20:24:38.298022Z digest=sha256:27feedffdc0a7ac5e3af27ce3d237557facb064b1edfc86428e24ad73e7abec0

Observation 3203a08f-e4e3-4dc2-bf56-0e639803a114 · outbound

This paper cites an unresolved cited work.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-08-06T20:24:38.391664Z digest=sha256:bb71bd375018e074cfe4cf50c61f62c373c94b1aceff3e880d3fac6d706e343d

Observation d41b52dc-201e-4d55-b653-dabe4b7a7c0a · outbound

This paper cites Journal of the American Statistical Association , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of the American Statistical Association , volume=

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source=arxiv_source observed=2026-08-06T20:24:38.521376Z digest=sha256:6591f5e20bcec88f364028d4dc1b2099b2ac3f945a2680ad5d44bfb73b514c30

Observation bd7f4a4c-921b-4e02-8086-b25b58d0ce3b · outbound

This paper cites Ancillarity-sufficiency interweaving strategy (.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Ancillarity-sufficiency interweaving strategy (

Reference 56

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source=arxiv_source observed=2026-08-06T20:24:38.588655Z digest=sha256:b6b4db9f14caaf35910215ced5e73c0e450e1f2ced6561d30abe6a5d95e48562

Observation ddd652c9-5daf-4c19-9edb-13a08839bf06 · outbound

This paper cites Bayes inference in regression models with.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Bayes inference in regression models with

Reference 57

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source=arxiv_source observed=2026-08-06T20:24:38.708364Z digest=sha256:a9e2de41b22a09bead1ffb70749419578fa050c6d32346db7b24520bfe33b6e4

Observation b7b13492-63aa-4926-9df5-cbb1c830b735 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

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source=arxiv_source observed=2026-08-06T20:24:38.802863Z digest=sha256:66a416744ea90938071275d42334c498aff1bd9cc1b73bde2e7c7cd1af86115f

Observation 15380d69-0022-4075-ba69-c95ee06ad44b · outbound

This paper cites The Review of Economic Studies , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework The Review of Economic Studies , volume=

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source=arxiv_source observed=2026-08-06T20:24:38.914425Z digest=sha256:fbcbfa898043c37703bd7704a7819b182d1be6f0ca8ec23ba068d28945e4fccc

Observation 46b6810b-2209-4cae-9432-e502b0511f4e · outbound

This paper cites American Economic Review , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework American Economic Review , volume=

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source=arxiv_source observed=2026-08-06T20:24:38.987733Z digest=sha256:1b26e745a6526cb4eca5e6b9fe07eec29eaefe011e83cda3c84c13380ce28d15

Observation 2455335d-f664-4f5d-8a28-5d6022930985 · outbound

This paper cites 2022 , journal=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2022 , journal=

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source=arxiv_source observed=2026-08-06T20:24:39.075838Z digest=sha256:24d058c48a007c65f6337b3ee15065eea15ef4f8400cabbb75740dda84148777

Observation 36c37c60-fb63-4401-a87d-0ab7934e36d0 · outbound

This paper cites Machine Learning , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Machine Learning , volume=

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source=arxiv_source observed=2026-08-06T20:24:39.151055Z digest=sha256:9d1160d462fff5bb445b9a29e2f66143fc03dea29bf16245c08b01ffd57ecf7f

Observation 23d0ae0b-68b6-4353-919e-ea5fae04e81c · outbound

This paper cites Statistics & Probability Letters , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Statistics & Probability Letters , volume=

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source=arxiv_source observed=2026-08-06T20:24:39.234314Z digest=sha256:8e6874b78772fdfc0cc859d218db5baa6e3d5c63e3e6331948df806d07f552d8

Observation 5ce836e4-b9b7-4963-8840-e4c2ae6cd456 · outbound

This paper cites Stochastic model specification search for.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Stochastic model specification search for

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source=arxiv_source observed=2026-08-06T20:24:39.349183Z digest=sha256:6593c8c20a757d9ee8dad7d4f19c40dfe8da2a243b0bc8dedfd7b3bb696ded05

Observation d4f29ce3-b215-4d62-b4c0-1c78746c8b53 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

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source=arxiv_source observed=2026-08-06T20:24:39.415381Z digest=sha256:24268902bf60399c5a4632b9187da541c479374d0067f1a2cd1dff62e6ec6b80

Observation fce28f85-1b8e-4e3f-b51c-6411f5695b3d · outbound

This paper cites 2021 , institution=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2021 , institution=

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source=arxiv_source observed=2026-08-06T20:24:39.504125Z digest=sha256:788a4dc7bfab2e51184edb0d6dcb762171c3c06b8bdd44494a121ddabc9b8b9d

Observation 522b29a7-bc2f-4dea-b013-31e70b453e26 · outbound

This paper cites Journal of Applied Econometrics , year=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Applied Econometrics , year=

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source=arxiv_source observed=2026-08-06T20:24:39.598913Z digest=sha256:17273ec018cf2e5a4265dda8bbac1286d8cbf8d631e3d3ae83b30ea37ea94d99

Observation 3a6932c7-8e25-4ab9-8db7-39a59d85e683 · outbound

This paper cites Capturing macroeconomic tail risks with.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Capturing macroeconomic tail risks with

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source=arxiv_source observed=2026-08-06T20:24:39.679566Z digest=sha256:2e88aab30101746c0d7cf6922a27480942a14d955ecd6d6075a901162065aa7f

Observation a46d00d8-3dd7-4b08-a627-5ba280c6d8ad · outbound

This paper cites Federal Reserve Bank of Kansas City Research Working Paper , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Federal Reserve Bank of Kansas City Research Working Paper , volume=

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source=arxiv_source observed=2026-08-06T20:24:39.800135Z digest=sha256:70b874dc4bd364d36f51bc78aeb1f407916103d246beca94cbd5cb3b368142f1

Observation f2c23795-8c84-4372-834b-1f7bb89e4c09 · outbound

This paper cites Journal of Applied Econometrics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Applied Econometrics , volume=

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Unavailable: canonical work link unavailable.

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Observation 9f453b1d-83c2-49c4-b56b-9c8fded3ae80 · outbound

This paper cites International Journal of Forecasting , year =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework International Journal of Forecasting , year =

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Observation 1f3519fd-47ed-4dcb-8c22-2f34f3bb45d8 · outbound

This paper cites Journal of Money, Credit and Banking , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Money, Credit and Banking , volume=

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:24:40.051739Z digest=sha256:9457d01d5d64bbecee32c39e38ef7037cfb32cbd3d0717aa989546fc38bcfce0

Observation 80910f8a-5a54-4617-9e38-64ffca23a1e6 · outbound

This paper cites International Journal of Forecasting , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework International Journal of Forecasting , volume=

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source=arxiv_source observed=2026-08-06T20:24:40.146604Z digest=sha256:d79b529830c66bd2ea659374c33278587344922fb98b6d9383c590fcc4580dcf

Observation c919c4a6-baff-445a-9ea7-7580edaaf89e · outbound

This paper cites National Bank of Belgium Research Working Paper , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework National Bank of Belgium Research Working Paper , volume=

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source=arxiv_source observed=2026-08-06T20:24:40.232444Z digest=sha256:85225f5f354e2776dccbcccbeae81979e3fdf0782c369748f245d10fd22f0903

Observation 16d8df6f-6ba6-4dcc-95de-c3ca46097fe0 · outbound

This paper cites Journal of Business & Economic Statistics , volume =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume =

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source=arxiv_source observed=2026-08-06T20:24:40.336273Z digest=sha256:c7a867e59ca85d50c201c086ab5dfaf80e4306d30c275c2507bb16e971a19471

Observation cf79c7f4-51fa-4c02-b4fc-3c5f7b1342c2 · outbound

This paper cites Journal of Financial Economics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Financial Economics , volume=

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source=arxiv_source observed=2026-08-06T20:24:40.410024Z digest=sha256:9df9575fd5f8e4548ce508b40cf1543c002d2c5cac9ac2c1e4f9d4c625b1f32b

Observation 015fbb36-a93b-42ef-bdec-8e8a84b1da5c · outbound

This paper cites 2019 , author =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2019 , author =

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source=arxiv_source observed=2026-08-06T20:24:40.509163Z digest=sha256:98df336fec429de985155ab7bbbb52402c491af574c21b9dd724f5a4515a9f0b

Observation 0f6dc991-b8db-45bb-8575-f94ef384483d · outbound

This paper cites 2020 , journal=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2020 , journal=

Reference 78

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source=arxiv_source observed=2026-08-06T20:24:40.634857Z digest=sha256:b4be72639f59ed862efddae1cc903e8b6fa848f7dcc5d067ef3eee2cc95ec05b

Observation 6501dfb6-0eda-42ce-888c-72ac0e805969 · outbound

This paper cites Clark and Florian Huber and Gary Koop and Massimiliano Marcellino and Michael Pfarrhofer , title =.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Clark and Florian Huber and Gary Koop and Massimiliano Marcellino and Michael Pfarrhofer , title =

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This paper cites Tail forecasting with multivariate.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Tail forecasting with multivariate

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Observation 70c58b0e-4432-4675-bec5-8c46a1417046 · outbound

This paper cites 2020 , journal=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2020 , journal=

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Observation 6b2b81ca-c809-40d9-b826-4007d2bdb0bb · outbound

This paper cites Can machine learning catch the.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Can machine learning catch the

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework , title =

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This paper cites International Journal of Forecasting , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework International Journal of Forecasting , volume=

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This paper cites Journal of Business & Economic Statistics , volume=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

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This paper cites Are macroeconomic variables useful for forecasting the distribution of.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Are macroeconomic variables useful for forecasting the distribution of

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Observation b862e35a-52a7-4fc3-9c10-a835e0f5da84 · outbound

This paper cites Asymmetric quantile persistence and predictability: the case of.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Asymmetric quantile persistence and predictability: the case of

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2021 , journal=

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Observation 97cebebb-f5e9-421a-86ea-be00da82b4c8 · outbound

This paper cites Essays in Honor of M.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Essays in Honor of M

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This paper cites an unresolved cited work.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Unresolved cited work

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Journal of Business & Economic Statistics , volume=

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Observation 129f3dd6-4b33-4686-8bbc-1d4739831cd0 · outbound

This paper cites Let the Tree Decide: FABART A Non-Parametric Factor Model.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Let the Tree Decide: FABART A Non-Parametric Factor Model

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This paper cites Brookings Papers on Economic Activity , year=.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Brookings Papers on Economic Activity , year=

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Observation d6c21eda-5705-451f-9967-d7c727fb0182 · outbound

This paper cites Real-time nowcasting with a.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Real-time nowcasting with a

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework 2020 , journal=

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Observation 01adc485-b6fb-4993-b4f9-bd624d5435a9 · outbound

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework and George, Edward I

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Observation 29aea843-c103-47da-b2fc-83c86d22fabd · outbound

This paper cites Addressing.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Addressing

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Observation 8a08de14-94ac-44f4-948d-a99633be5867 · outbound

This paper cites and Chipman, Hugh A.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework and Chipman, Hugh A

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Observation 92468fcd-f179-4945-82ea-016f8f99c852 · outbound

This paper cites Common drifting volatility in large.

Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework Common drifting volatility in large

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Observation ed0adb42-7682-4be1-b8ff-13be3306537d · outbound

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Clustered Local Projections for Short and Ultra-Short Time Series -- A Hierarchical Bayesian Framework FEDS working paper , number=

Reference 100

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