Sanjay Chaudhuri
Statistics and Probability · 2005–2017
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it; #4,196 of 12,932 by trust here, #6,853 by citations
- Artificial Intelligence — 6 citations into it; #11,929 of 35,345 by trust here, #25,040 by citations
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Sanjay Chaudhuri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Nicole A. Lazar
- Peter J. Green
- Julian Besag
- Graham J. Wills
- Ernst Hairer
- Matthew D. Hoffman
- Yunwen Yang
- Andrew Gelman
- Danny Pfeffermann
Who trusts Sanjay Chaudhuri overall
- Danny Pfeffermann
- Mohsen Pourahmadi
- Mathias Drton
- Miguel de Carvalho
- Jiahua Chen
- Thomas S. Richardson
- A. C. Davison
- Debashis Mondal
- Asokan Mulayath Variyath
- Siddhartha Chib
Papers from Sanjay Chaudhuri's perspective
Ordered by how strongly the researchers Sanjay Chaudhuri trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical Likelihood
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Simulating Hamiltonian dynamics
- The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
- Mean squared error of empirical predictor
- Handbook of Markov Chain Monte Carlo
- INADMISSIBILITY OF THE USUAL ESTIMATOR FOR THE MEAN OF A MULTIVARIATE NORMAL DISTRIBUTION
- Small area estimation
- Bayesian empirical likelihood for quantile regression
- Calibration of the empirical likelihood method for a vector mean
Their papers
- Estimation of a covariance matrix with zeros (2005) — 141 citations
- Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation (2017) — 48 citations
- Empirical likelihood for small area estimation (2011) — 51 citations