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Jyotishka Datta

Virginia Tech (from arXiv:2509.05823, 2025) · ORCID · OpenAlex

22 papers in scope · 21 published · 1 on the econ.EM arXiv · 268 citations · h-index 10 (over the papers listed here)

Related authors

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

  1. Nikolaos Ignatiadis
  2. Sid Kankanala
  3. Jiafeng Chen
  4. Yihong Wu
  5. Roger Koenker
  6. Christopher Walters
  7. Jiaying Gu
  8. Dominic Coey
  9. Kenneth E. Hung
  10. Yan Chen
  11. Manuel Arellano
  12. Andrés Santos
  13. Evan K. Rose
  14. Nicholas G. Polson
  15. Alexander Torgovitsky
  16. Xiaohong Chen
  17. Shunzhuang Huang
  18. Edward Vytlacil
  19. Azeem M. Shaikh
  20. Sarah Moon

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 22)

Inverse Probability Weighting: From Survey Sampling to Evidence Estimation
published2026 · The New England Journal of Statistics in Data Science
with Nicholas Polson
The New England Journal of Statistics in Data Science
Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
working paper2025 · arXiv
with Nicholas G. Polson
Paper profile arXiv arXiv:2509.05823
Quantile importance sampling
published2025 · Brazilian Journal of Probability and Statistics
with Nicholas G. Polson
Brazilian Journal of Probability and Statistics
Maximum a posteriori estimation in graphical models using local linear approximation
published2024 · Stat · 3 citations · first circulated 2023
with Ksheera Sagar, Sayantan Banerjee, Anindya Bhadra
Stat
Merging two cultures: Deep and statistical learning
published2024 · Wiley Interdisciplinary Reviews Computational Statistics · 4 citations · first circulated 2021
with Anindya Bhadra, Nicholas G. Polson, Vadim Sokolov, Jianeng Xu, Nick Polson
Wiley Interdisciplinary Reviews Computational Statistics
Nonparametric Bayes multiresolution testing for high-dimensional rare events
published2024 · Journal of nonparametric statistics · 1 citations · first circulated 2023
with Sayantan Banerjee, David B. Dunson
Journal of nonparametric statistics
Precision matrix estimation under the horseshoe-like prior–penalty dual
published2024 · Electronic Journal of Statistics · 12 citations · first circulated 2021
with Ksheera Sagar, Sayantan Banerjee, Anindya Bhadra
Electronic Journal of Statistics
Group Inverse-Gamma Gamma Shrinkage for Sparse Linear Models with Block-Correlated Regressors
published2023 · Bayesian Analysis · 11 citations
with Jonathan Boss, Xin Wang, Sung Kyun Park, Jian Kang, Bhramar Mukherjee
Bayesian Analysis
Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy
published2022 · Statistics in Medicine · 26 citations
with Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, Michael Kleinsasser, Lauren J. Beesley, Bhramar Mukherjee
Statistics in Medicine
Understanding racial disparities in severe maternal morbidity using Bayesian network analysis
published2021 · PLoS ONE · 6 citations
with Mandana Rezaeiahari, Clare C. Brown, Mir M. Ali, J. Mick Tilford
PLoS ONE
Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
published2021 · Journal of the American Statistical Association · 2 citations
with Bhramar Mukherjee
Journal of the American Statistical Association
Joint mean–covariance estimation via the horseshoe
published2020 · Journal of Multivariate Analysis · 10 citations · first circulated 2019
with Yunfan Li, Bruce A. Craig, Anindya Bhadra
Journal of Multivariate Analysis
Global-Local Mixtures: A Unifying Framework
published2020 · Sankhya A · 1 citations
with Anindya Bhadra, Nicholas G. Polson, Brandon T. Willard
Sankhya A
Horseshoe Regularisation for Machine Learning in Complex and Deep Models 1
published2020 · International Statistical Review · 16 citations · first circulated 2019
with Anindya Bhadra, Yunfan Li, Nicholas Polson, Nicholas G. Polson
International Statistical Review
The Horseshoe-Like Regularization for Feature Subset Selection
published2019 · Sankhya B · 16 citations · first circulated 2017
with Anindya Bhadra, Nicholas G. Polson, Brandon T. Willard
Sankhya B
Lasso Meets Horseshoe: A Survey
published2019 · Statistical Science · 5 citations
with Anindya Bhadra, Nicholas G. Polson, Brandon T. Willard
Statistical Science
Default Bayesian analysis with global-local shrinkage priors
published2016 · Biometrika · 3 citations
with Anindya Bhadra, Nicholas G. Polson, Brandon T. Willard
Biometrika
Bayesian inference on quasi-sparse count data
published2016 · Biometrika · 25 citations
with David B. Dunson
Biometrika
The Horseshoe+ Estimator of Ultra-Sparse Signals
published2016 · Bayesian Analysis · 19 citations
with Anindya Bhadra, Nicholas G. Polson, Brandon T. Willard
Bayesian Analysis
Some Remarks on Pseudo Panel Data
published2015 · Springer proceedings in mathematics & statistics · 5 citations
with Ratan Dasgupta, Jayanta K. Ghosh, Sugato Chakravarty
Springer proceedings in mathematics & statistics
Bootstrap—An exploration
published2013 · Statistical Methodology · 10 citations
with Jayanta K. Ghosh
Statistical Methodology
Asymptotic Properties of Bayes Risk for the Horseshoe Prior
published2013 · Bayesian Analysis · 93 citations
with Jayanta K. Ghosh
Bayesian Analysis

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.