Paper Citation Record · LEDGER

A sliced Wasserstein and diffusion approach to random coefficient models

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2502.04654.

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

pith.paper-citation-record.v1
2502.04654 v2

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

Reference 1

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models and Hall, P

Reference 4

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A sliced Wasserstein and diffusion approach to random coefficient models and Millar, P

Reference 5

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A sliced Wasserstein and diffusion approach to random coefficient models and Ledoux, M

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This paper cites Estimating Heterogeneous Effects: Applications to Labor Economics.

A sliced Wasserstein and diffusion approach to random coefficient models Estimating Heterogeneous Effects: Applications to Labor Economics

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

Reference 9

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This paper cites From optimal transport to generative modeling: the VEGAN cookbook.

A sliced Wasserstein and diffusion approach to random coefficient models From optimal transport to generative modeling: the VEGAN cookbook

Reference 10

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models and Boyd, S

Reference 12

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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This paper cites Minimum Sliced Distance Estimation in a Class of Nonregular Econometric Models.

A sliced Wasserstein and diffusion approach to random coefficient models Minimum Sliced Distance Estimation in a Class of Nonregular Econometric Models

Reference 15

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A sliced Wasserstein and diffusion approach to random coefficient models Z., Boisbunon, A., Chambon, S., Chapel, L., Corenflos, A., Fatras, K., Fournier, N., Gautheron, L., Gayraud, N

Reference 16

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A sliced Wasserstein and diffusion approach to random coefficient models and Guillin, A

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A sliced Wasserstein and diffusion approach to random coefficient models T., il Kim, K., and Yang, C

Reference 18

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A sliced Wasserstein and diffusion approach to random coefficient models T., Kim, K

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This paper cites Nonparametric classes for identification in random coefficients models when regressors have limited variation.

A sliced Wasserstein and diffusion approach to random coefficient models Nonparametric classes for identification in random coefficients models when regressors have limited variation

Reference 20

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A sliced Wasserstein and diffusion approach to random coefficient models and Gautier, E

Reference 21

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A sliced Wasserstein and diffusion approach to random coefficient models M., Katzenstein, D

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A sliced Wasserstein and diffusion approach to random coefficient models J., Smith, J., and Clements, N

Reference 24

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models and Houck, J

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A sliced Wasserstein and diffusion approach to random coefficient models and Lacombe, G

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models and Holzmann, H

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A sliced Wasserstein and diffusion approach to random coefficient models and Meister, A

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A sliced Wasserstein and diffusion approach to random coefficient models Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations

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A sliced Wasserstein and diffusion approach to random coefficient models B., Lu, X., Zhang, M., Davidian, M., and Tsiatis, A

Reference 32

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A sliced Wasserstein and diffusion approach to random coefficient models K., and Hoffmann, H

Reference 33

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A sliced Wasserstein and diffusion approach to random coefficient models and Pendakur, K

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A sliced Wasserstein and diffusion approach to random coefficient models M., and Andrew, M

Reference 35

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A sliced Wasserstein and diffusion approach to random coefficient models Smoothed NPMLEs in nonparametric Poisson mixtures and beyond

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models On the consistency of bootstrap for matching estimators

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A sliced Wasserstein and diffusion approach to random coefficient models and Han, F

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A sliced Wasserstein and diffusion approach to random coefficient models and Gordon, W

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A sliced Wasserstein and diffusion approach to random coefficient models K., Sun, W., and Han, F

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A sliced Wasserstein and diffusion approach to random coefficient models Unresolved cited work

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A sliced Wasserstein and diffusion approach to random coefficient models write newline

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