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Lucas Kock

National University of Singapore (per OpenAlex) · ORCID · OpenAlex

8 papers in scope · 7 published · 1 on the econ.EM arXiv · 11 citations · h-index 2 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Weichang Yu
  2. David J. Nott
  3. Michael D. Smith
  4. David T. Frazier
  5. Lin Deng
  6. Worapree Maneesoonthorn
  7. Rubén Loaiza-Maya
  8. Gael M. Martin
  9. Didier Nibbering
  10. Gary Koop
  11. Florian Huber
  12. Xuewen Yu
  13. Peter J. Danaher
  14. Luca Onorante
  15. Joshua C. C. Chan
  16. Anastasios Panagiotelis
  17. Florian Ziel
  18. John M. Maheu
  19. Andrés Ramírez Hassan
  20. D. S. Poskitt

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 8)

Calibrating Multivariate Regression with Localized PIT Mappings
published2026 · Journal of Computational and Graphical Statistics
with G. S. Rodrigues, Scott A. Sisson, Nadja Klein, David J. Nott
Journal of Computational and Graphical Statistics
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
working paper2026 · arXiv
with David T. Frazier, Michael Stanley Smith, David J. Nott
Paper profile arXiv arXiv:2603.11457
Variational Inference for Hierarchical Models with Conditional Scale and Skewness Corrections
published2026 · Journal of Computational and Graphical Statistics
with Linda S. L. Tan, Prateek Bansal, David J. Nott
Journal of Computational and Graphical Statistics
Scalable variational inference for multinomial probit models under large choice sets and sample sizes
published2025 · Statistics and Computing
with Gyeongjun Kim, Yeseul Kang, Prateek Bansal, Keemin Sohn
Statistics and Computing
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data
published2025 · Statistics in Medicine · 1 citations · first circulated 2023
with Nadja Klein, David J. Nott
Statistics in Medicine
Pooling Information in Likelihood-Free Inference
published2025 · Bayesian Analysis · 1 citations · first circulated 2022
with David T. Frazier, Christopher Drovandi, David J. Nott
Bayesian Analysis
Truly Multivariate Structured Additive Distributional Regression
published2024 · Journal of Computational and Graphical Statistics · 5 citations · first circulated 2023
with Nadja Klein
Journal of Computational and Graphical Statistics
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
published2022 · Statistics and Computing · 4 citations · first circulated 2021
with Nadja Klein, David J. Nott
Statistics and Computing

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.