Bani K. Mallick

Statistics and Probability · 1998–2019

A researcher in the Science corpus: 12 papers; trusts 32 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 33 citations into it; #2,680 of 12,932 by trust here, #2,214 by citations
• Ecology — 29 citations into it
• Artificial Intelligence — 19 citations into it; #7,564 of 35,345 by trust here, #13,962 by citations
• Environmental Engineering — 15 citations into it; #844 of 5,479 by trust here, #2,609 by citations
• Analytical Chemistry — 11 citations into it; #485 of 1,254 by trust here, #658 by citations
• Probabilistic & Bayesian Methods — 11 citations into it
• Plant Science — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Bani K. Mallick trusts overall

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

1. Peter J. Green
2. David Ruppert
3. David L. Donoho
4. Alan E. Gelfand
5. Jim Albert
6. Christopher C. Holmes
7. Ingrid Daubechies
8. Siddhartha Chib
9. Denise Draper
10. Robert E. Kass

Who trusts Bani K. Mallick overall

1. Hugh A. Chipman
2. Christopher J. Paciorek
3. Robert B. Gramacy
4. Christopher C. Holmes
5. Wei-Yin Loh
6. Jakob Roll
7. Edward I. George
8. Jerome P. Reiter
9. Mark J. Schervish
10. Lihan He

Papers from Bani K. Mallick's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Bayesian Density Estimation and Inference Using Mixtures
3. Bayesian analysis of binary and polychotomous response data
4. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
5. Estimating the Dimension of a Model
6. Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
7. Spline Adaptation in Extended Linear Models (with comments and a rejoinder by the authors
8. Space and Space-Time Modeling using Process Convolutions
9. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
10. Nonparametric Estimation of Nonstationary Spatial Covariance Structure

Their papers

• Spatially Adaptive Bayesian Penalized Regression Splines (P-splines) (2005) — 78 citations
• Gene selection: a Bayesian variable selection approach (2003) — 390 citations
• Bayesian regression with multivariate linear splines (2001) — 68 citations
• Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines (2003) — 58 citations
• Bayesian multivariate spatial models for roadway traffic crash mapping (2006) — 172 citations
• Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes (2005) — 246 citations
• A Bayesian prediction using the skew Gaussian distribution (2004) — 93 citations
• Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm (2019) — 445 citations
• Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection (2013) — 157 citations
• Functional clustering by Bayesian wavelet methods (2006) — 170 citations
• Generalized Linear Models : A Bayesian Perspective (2000) — 155 citations
• A Bayesian CART algorithm (1998)