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Paper Citation Record · LEDGER

Maximum Approximated Likelihood Estimation

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.04110.

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pith.paper-citation-record.v1
1908.04110 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:58:46.576096Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 1ba40d2d-6fc2-40eb-888f-a9676a8b19b4 · outbound

This paper cites Geweke, and J.

Maximum Approximated Likelihood Estimation Geweke, and J

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 689f6145-a5ee-400a-a475-ae69a2451375 · outbound

This paper cites (2001) ‘Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model.’Transportation Research Part B: Methodological35(7), 677– 693.

Maximum Approximated Likelihood Estimation (2001) ‘Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model.’Transportation Research Part B: Methodological35(7), 677– 693

Reference 2

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Observation e3ecb22e-2974-440c-9442-9f032c57799a · outbound

This paper cites (1984) ‘Asymptotic coefficients of Hermite function series.’J.

Maximum Approximated Likelihood Estimation (1984) ‘Asymptotic coefficients of Hermite function series.’J

Reference 3

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Observation 5784d8a6-5f98-4129-a14d-ef38c811a9e9 · outbound

This paper cites Moffitt (1982) ‘A computationally efficient quadrature procedure for the one factor multinomial probit model.’Econometrica50(3), 761–764.

Maximum Approximated Likelihood Estimation Moffitt (1982) ‘A computationally efficient quadrature procedure for the one factor multinomial probit model.’Econometrica50(3), 761–764

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ede48cd3-8f0c-4a60-8fac-84532c63b376 · outbound

This paper cites Rabinowitz (2007)Methods of Numerical IntegrationDover Books on Mathematics Series (Dover Publications).

Maximum Approximated Likelihood Estimation Rabinowitz (2007)Methods of Numerical IntegrationDover Books on Mathematics Series (Dover Publications)

Reference 5

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Observation b2de6c4a-8f99-4abf-8de2-bd5d1d8085e5 · outbound

This paper cites Pillichshammer (2010)Digital Nets and Sequences.

Maximum Approximated Likelihood Estimation Pillichshammer (2010)Digital Nets and Sequences

Reference 6

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Source-reported events for the cited work

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Observation 6c8da539-f36b-4450-b130-21cc8bf3cd30 · outbound

This paper cites Griebel (1998) ‘Numerical integration using sparse grids.’Numerical Algorithms 18, 209–232.

Maximum Approximated Likelihood Estimation Griebel (1998) ‘Numerical integration using sparse grids.’Numerical Algorithms 18, 209–232

Reference 7

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Observation 90f182d8-f7ea-4910-9ca5-29965da77ebc · outbound

This paper cites Griebel (2003) ‘Dimension–adaptive tensor–product quadrature.’ Computing 71(1), 65–87 Gouriéroux, C., and A.

Maximum Approximated Likelihood Estimation Griebel (2003) ‘Dimension–adaptive tensor–product quadrature.’ Computing 71(1), 65–87 Gouriéroux, C., and A

Reference 8

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Observation 009d7fc6-ab79-42f4-9512-d518d2cc9133 · outbound

This paper cites Oettershagen (2014) ‘Dimension-adaptive sparse grid quadrature for in- tegrals with boundary singularities.’ In ‘Sparse grids and Applications,’ vol.

Maximum Approximated Likelihood Estimation Oettershagen (2014) ‘Dimension-adaptive sparse grid quadrature for in- tegrals with boundary singularities.’ In ‘Sparse grids and Applications,’ vol

Reference 9

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Observation 62a476d2-6134-4ef1-8c76-5f6154c40430 · outbound

This paper cites McFadden (1998) ‘The method of simulated scores for the esti- mation of LDV models.’Econometrica66(4), 863–896.

Maximum Approximated Likelihood Estimation McFadden (1998) ‘The method of simulated scores for the esti- mation of LDV models.’Econometrica66(4), 863–896

Reference 10

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Observation 9c9cb6f8-aa37-4531-9496-ace2406ef14a · outbound

This paper cites Ruud (1994) ‘Classical estimation methods for LDV models using simulation.’ In ‘Handbook of Econometrics,’ vol.

Maximum Approximated Likelihood Estimation Ruud (1994) ‘Classical estimation methods for LDV models using simulation.’ In ‘Handbook of Econometrics,’ vol

Reference 11

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Observation 635c54cc-52a9-4e5d-bbfa-71f2c80a9a3e · outbound

This paper cites (1964) ‘Algorithm 247: Radical-inverse quasi-random point sequence.’Commun.

Maximum Approximated Likelihood Estimation (1964) ‘Algorithm 247: Radical-inverse quasi-random point sequence.’Commun

Reference 12

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Observation ac3ee1bc-5597-4cae-9114-e8f6da20a13f · outbound

This paper cites Winschel (2008) ‘Likelihood approximation by numerical integration on sparse grids.’J.

Maximum Approximated Likelihood Estimation Winschel (2008) ‘Likelihood approximation by numerical integration on sparse grids.’J

Reference 13

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Observation 52e01a30-cb8e-4684-be0c-e5e380de9a35 · outbound

This paper cites Train, and J.

Maximum Approximated Likelihood Estimation Train, and J

Reference 14

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Observation d321f7bb-8c9a-4249-acb6-8df3a0ee72fa · outbound

This paper cites Markhasin, J.

Maximum Approximated Likelihood Estimation Markhasin, J

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a41f06b9-96a8-45ef-8437-2f9cc1f8ffee · outbound

This paper cites (1963) ‘On the method for numerical integration of Clenshaw and Curtis.’Nu- merische Mathematik5(1), 138–141.

Maximum Approximated Likelihood Estimation (1963) ‘On the method for numerical integration of Clenshaw and Curtis.’Nu- merische Mathematik5(1), 138–141

Reference 16

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Observation 94d55aab-6ebf-48b1-9806-45fa065a038e · outbound

This paper cites Kritzer, G.

Maximum Approximated Likelihood Estimation Kritzer, G

Reference 17

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Observation 5eb66bee-1aad-4fdd-bfcf-77cfc2593fce · outbound

This paper cites On the Lebesgue Constant of Weighted Leja Points for Lagrange Interpolation on Unbounded Domains.

Maximum Approximated Likelihood Estimation On the Lebesgue Constant of Weighted Leja Points for Lagrange Interpolation on Unbounded Domains

Reference 18

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Observation d59e85c9-4a4e-4112-9713-4e15d785abda · outbound

This paper cites an unresolved cited work.

Maximum Approximated Likelihood Estimation Unresolved cited work

Reference 19

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Observation 9aa8895a-3ae9-4a92-8218-45f2ea97e559 · outbound

This paper cites Woźniakowski (2011) ‘Gauss-Hermite quadratures for functions from Hilbert spaces with Gaussian reproducing kernels.’ BIT Numerical Mathematics 52(2), 425–436.

Maximum Approximated Likelihood Estimation Woźniakowski (2011) ‘Gauss-Hermite quadratures for functions from Hilbert spaces with Gaussian reproducing kernels.’ BIT Numerical Mathematics 52(2), 425–436

Reference 20

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Observation 53e9bb54-25fb-4cdf-a9cf-ac00c40f1629 · outbound

This paper cites Monegato (1994) ‘Error estimates for Gauss-Laguerre and Gauss- Hermite quadrature formulas.’ InApproximation and Computation: A Festschrift in Honor of Walter Gautschi,ed.

Maximum Approximated Likelihood Estimation Monegato (1994) ‘Error estimates for Gauss-Laguerre and Gauss- Hermite quadrature formulas.’ InApproximation and Computation: A Festschrift in Honor of Walter Gautschi,ed

Reference 21

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Observation 824e7d5c-0de4-448d-869d-dbb33f07bd64 · outbound

This paper cites (1989) ‘A method of simulated moments for estimation of discrete response models without numerical integration.’Econometrica57, 995–1026.

Maximum Approximated Likelihood Estimation (1989) ‘A method of simulated moments for estimation of discrete response models without numerical integration.’Econometrica57, 995–1026

Reference 22

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Observation e0ac3163-6701-4b6f-a0dd-43fd1682ee79 · outbound

This paper cites Train (2000) ‘Mixed MNL models for discrete response.’J.

Maximum Approximated Likelihood Estimation Train (2000) ‘Mixed MNL models for discrete response.’J

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9d41d122-9cd6-4fa4-b50d-60ec39c508c3 · outbound

This paper cites McFadden (1994) ‘Large sample estimation and hypothesis testing.’ vol.

Maximum Approximated Likelihood Estimation McFadden (1994) ‘Large sample estimation and hypothesis testing.’ vol

Reference 24

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Observation 3c926ac1-db13-4a51-b720-f8c70f30381e · outbound

This paper cites (1992) Random Number Generation and Quasi-Monte Carlo Methods (SIAM, Philadelphia).

Maximum Approximated Likelihood Estimation (1992) Random Number Generation and Quasi-Monte Carlo Methods (SIAM, Philadelphia)

Reference 25

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Observation 15d3ee47-524f-4a52-b3f3-f053bd5b0309 · outbound

This paper cites Ritter (1996) ‘High dimensional integration of smooth functions over cubes.’Numerische Mathematik75(1), 79–97 28.

Maximum Approximated Likelihood Estimation Ritter (1996) ‘High dimensional integration of smooth functions over cubes.’Numerische Mathematik75(1), 79–97 28

Reference 26

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Observation 241993a5-2c88-4764-9777-3713cc104acc · outbound

This paper cites (2005) ‘Multidimensional variation for quasi-Monte Carlo.’ In ‘International Con- ference on Statistics in honour of Professor Kai-Tai Fang’s 65th birthday’ pp.

Maximum Approximated Likelihood Estimation (2005) ‘Multidimensional variation for quasi-Monte Carlo.’ In ‘International Con- ference on Statistics in honour of Professor Kai-Tai Fang’s 65th birthday’ pp

Reference 27

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Observation 2abd7f14-b09d-4f81-b1d2-d65fc81f6549 · outbound

This paper cites an unresolved cited work.

Maximum Approximated Likelihood Estimation Unresolved cited work

Reference 28

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Observation 413f9cab-a0f1-4d51-9255-bf089d12948f · outbound

This paper cites Joe (1994)Lattice Methods for Multiple Integration(New York: Oxford University Press).

Maximum Approximated Likelihood Estimation Joe (1994)Lattice Methods for Multiple Integration(New York: Oxford University Press)

Reference 29

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raw_fallback, observed 2026-08-14T13:58:46.831243Z

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Observation ea8ef540-cfd0-4c45-96b3-06445fa589d1 · outbound

This paper cites Sloan, and A.

Maximum Approximated Likelihood Estimation Sloan, and A

Reference 30

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Observation 4d194431-63a7-46dd-80b9-1aff3d85f6e7 · outbound

This paper cites (1967) ‘The distribution of points in a cube and the approximate evaluation of integrals.’J.

Maximum Approximated Likelihood Estimation (1967) ‘The distribution of points in a cube and the approximate evaluation of integrals.’J

Reference 31

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Observation 143d94be-40b9-4fcb-bf3f-c9d460f2ac43 · outbound

This paper cites (2009)Discrete Choice Methods with Simulation,2nd ed.

Maximum Approximated Likelihood Estimation (2009)Discrete Choice Methods with Simulation,2nd ed

Reference 32

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Observation dad1b6b1-4516-4076-9624-5f5e1d3ed006 · outbound

This paper cites Gunzburger, and W.

Maximum Approximated Likelihood Estimation Gunzburger, and W

Reference 33

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raw_fallback, observed 2026-08-14T13:58:46.634493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:58:46.576096Z digest=sha256:c070cc1db11db6380ebd2e9da4f45302481c89109aa2086c993ab5f7272b7f3a

Pith citing papers

No inbound Pith citation observations are available.