Debashis Mondal

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Debashis Mondal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Peter J. Green
3. Nicole A. Lazar
4. Ernst Hairer
5. Matthew D. Hoffman
6. Yunwen Yang
7. Sanjay Chaudhuri

Papers from Debashis Mondal's perspective

Ordered by how strongly the researchers Debashis Mondal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Simulating Hamiltonian dynamics
3. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
4. Bayesian empirical likelihood for quantile regression
5. Handbook of Markov Chain Monte Carlo
6. INADMISSIBILITY OF THE USUAL ESTIMATOR FOR THE MEAN OF A MULTIVARIATE NORMAL DISTRIBUTION
7. Calibration of the empirical likelihood method for a vector mean
8. Empirical Likelihood for Non‐Smooth Criterion Functions
9. Small area estimation
10. Empirical likelihood for small area estimation

Their papers

• Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation (2017) — 48 citations