World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
9551
World Ranking
1764
National Ranking
758

Engineering and Technology

D-Index
41
Citations
9292
World Ranking
6832
National Ranking
1862

Research.com Recognitions

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Bani K. Mallick is affiliated with Texas A&M University in the United States. Their research spans multiple disciplines, with primary focus areas in Computer Science and Mathematics.

Their main fields of study include:

  • Computer Science
  • Mathematics

Within these fields, Mallick's work extensively covers the following subfields:

  • Artificial Intelligence
  • Statistics and Probability
  • Molecular Biology
  • Electrical and Electronic Engineering
  • Public Health, Environmental and Occupational Health

Mallick has contributed to topics that emphasize statistical approaches and Bayesian frameworks, including:

  • Statistical Methods and Inference
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Gene expression and cancer classification
  • Bayesian Modeling and Causal Inference
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management

Among several recent publications, key papers include:

  • "Estimation of COVID-19 spread curves integrating global data and borrowing information," 2020, published in PLoS ONE
  • "Bayesian optimization with adaptive surrogate models for automated experimental design," 2021, published in npj Computational Materials
  • "Systemic anti-inflammatory therapy aided by double-headed nanoparticles in a canine model of acute intraocular inflammation," 2020, published in Science Advances
  • "Bayesian Estimation of Correlation Matrices of Longitudinal Data," 2020, published in Bayesian Analysis
  • "Estimation of COVID-19 spread curves integrating global data and borrowing information," 2020, published in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in Mallick's research include:

  • Debdeep Pati
  • Yabo Niu
  • Se Yoon Lee
  • Arhit Chakrabarti
  • Anirban Bhattacharya

Publication venues with multiple contributions from Mallick are:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • PLoS ONE
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports

Recognition for their work includes election as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2013
  • Fellow of the American Statistical Association (ASA), 2005

Best Publications

  • VARIABLE SELECTION FOR REGRESSION MODELS

    Bani Mallick

  • Automatic Bayesian curve fitting

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

  • Gene selection: a Bayesian variable selection approach

    Kyeong Eun Lee;Naijun Sha;Edward R. Dougherty;Marina Vannucci

  • A Bayesian CART algorithm

    David G. T. Denison;Bani K. Mallick;Adrian F. M. Smith

  • Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

    Kaiguang Zhao;Kaiguang Zhao;Michael A. Wulder;Tongxi Hu;Ryan Bright

  • Generalized Linear Models : A Bayesian Perspective

    Dipak K. Dey;Sujit K. Ghosh;Bani K. Mallick

  • ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH

    S P Miaou;J J Song;B K Mallick

  • Nonlinear estimation and classification

    David D. Denison;Mark H. Hansen;Christopher C. Holmes;Bani Mallick

  • Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes

    Hyoung-Moon Kim;Bani K Mallick;C. C Holmes

  • Gene selection using a two-level hierarchical Bayesian model

    Kyounghwa Bae;Bani K. Mallick

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss

  • Bayesian multivariate spatial models for roadway traffic crash mapping

    J. J. Song;M. Ghosh;S. Miaou;B. Mallick

  • Fast sampling with Gaussian scale mixture priors in high-dimensional regression

    Anirban Bhattacharya;Antik Chakraborty;Bani K. Mallick

  • Parameter Estimation of Partial Differential Equation Models

    Xiaolei Xun;Jiguo Cao;Bani Mallick;Arnab Maity

  • A Bayesian semiparametric accelerated failure time model.

    Stephen G Walker;Bani K. Mallick

  • Functional clustering by Bayesian wavelet methods

    Shubhankar Ray;Bani Mallick

  • Estimation of COVID-19 spread curves integrating global data and borrowing information

    Se Yoon Lee;Bowen Lei;Bani K. Mallick

  • Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

    Stephen G. Walker;Bani K. Mallick

  • Bayesian semiparametric inference for the accelerated failure‐time model

    Lynn Kuo;Bani Mallick

  • Bayesian MARS

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Yalchin Efendiev
Yalchin Efendiev Texas A&M University
Akhil Datta-Gupta
Akhil Datta-Gupta Texas A&M University
Alan E. Gelfand
Alan E. Gelfand Duke University
Malay Ghosh
Malay Ghosh University of Florida
Yu Ding
Yu Ding Georgia Institute of Technology
Kaiguang Zhao
Kaiguang Zhao The Ohio State University
Hong Liang
Hong Liang Texas A&M University
Subrata Kundu
Subrata Kundu Central Electrochemical Research Institute

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