Faculty

Institution

Unit

Venue

Mallick, Bani

Texas A&M University

Affiliations

College of Arts and Sciences

Statistics

NoneMallick, Bani is currently serving as a College Of Arts And Sciences faculty at Texas A&M University.

Honors

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Experiences

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Education

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Mallick, Bani

Texas A&M University

You can click a keyword to filter the displayed items

statistics bayesian analysis data science biostatistics applied statistics applied mathematics machine learning statistical inference bayesian inference statistical methodology probability theory bioinformatics biometrics statistical models bibliometrics estimation theory scientific computing bayesian hierarchical modeling time series statistical analysis microarray data analysis mathematical optimization classification method mixture distribution spatial statistical analysis bayesian statistics statistical science cancer biology water science system safety scientometrics scientific data reliability engineering earth observation statistical modeling parameter estimation data classification nutritional epidemiology transport accident traffic engineering graphical analysis spline (mathematics) mixture analysis cancer genomics measurement error semiparametric bayesian analysis gene expression data bayesian uncertainty quantification hydroinformatics avian biology clinical nutrition multivariate analysis wavelet theory classifier systems emulation technique psychometrics physical oceanography gene selection linear models dynamic data integration bayesian optimization bayesian prediction bayesian regression outcome-dependent follow-up variable selection bayesian variable selection bayesian methods transport geography applied geography animal physiology animal science earth observation data trend analysis change detection abrupt changes bayesian ensemble algorithm

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of the Total Nutrient Index as a Precision Nutrition Tool to Address Dietary Recommendations Across the Life Course. Journal of the Academy of Nutrition and Dietetics (2026)

nutritionhealth sciencespublic health nutritionprecision nutrition

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression. arXiv (Cornell University) (2026)

statistical inferencestatisticsstatistical methodologyspatial analysisbayesian analysisquantitative spatial modelstatistical modelsspatial statistical analysis

Nested Atoms Model With Application to Clustering Big Population-Scale Single-Cell Data. arXiv (Cornell University) (2026)

molecular computingcomputational biologyclusteringscientific computingdata scienceheterogeneous modelingunsupervised machine learning

Structure Learning for Directed Trees With Compositional Nodes. ArXiv.org (2026)

computer scienceknowledge discoverystructure discoveryknowledge graphsdata sciencemachine learning research

Structure Learning for Directed Trees With Zero-Inflated Compositional Nodes. arXiv (Cornell University) (2026)

computational intelligencemachine learninggraph theoryknowledge discoverystructure discoveryknowledge graphsdata sciencemachine learning research

A Generalized Tangent Approximation Based Variational Inference Framework for Strongly Super-Gaussian Likelihoods. ArXiv.org (2025)

gaussian processstatistical inferencestatisticsmathematical optimization

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data. The Annals of Applied Statistics (2025)

statistical inferencestatisticsstatistical methodologybiostatisticsdisease mappingcancer researchbayesian analysisbiomedical informaticsstatistical modelsmolecular diagnosticsapplied statisticscomputational statistics

Hierarchical Bayesian Operator-Induced Symbolic Regression Trees for Structural Learning of Scientific Expressions. arXiv (Cornell University) (2025)

machine learningbayesian analysissymbolic machine learningdata science

Lilrb4 Regulates Circadian Disruption-Induced Mammary Tumorigenesis via Non-Canonical Wnt Signaling Pathway. Oncogene (2025)

gene expressiononcogenescell signalingcarcinogenesiscell biologychronobiology

Methods Matter for Dietary Supplement Exposure Assessment: Comparing Prevalence, Product Types, and Amounts of Nutrients From Dietary Supplements in the Interactive Diet and Activity Tracking in the American Association of Retired Persons Cohort Study. American Journal of Clinical Nutrition (2025)

nutritional epidemiologyhealth sciencesprecision nutritionnutritionclinical nutritionpublic healthdietary exposure

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Mallick, Bani

Texas A&M University

Affiliations

College of Arts and Sciences

Statistics

NoneMallick, Bani is currently serving as a College Of Arts And Sciences faculty at Texas A&M University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mallick, Bani

Texas A&M University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of the Total Nutrient Index as a Precision Nutrition Tool to Address Dietary Recommendations Across the Life Course. Journal of the Academy of Nutrition and Dietetics (2026)

nutritionhealth sciencespublic health nutritionprecision nutrition

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression. arXiv (Cornell University) (2026)

statistical inferencestatisticsstatistical methodologyspatial analysisbayesian analysisquantitative spatial modelstatistical modelsspatial statistical analysis

Nested Atoms Model With Application to Clustering Big Population-Scale Single-Cell Data. arXiv (Cornell University) (2026)

molecular computingcomputational biologyclusteringscientific computingdata scienceheterogeneous modelingunsupervised machine learning

Structure Learning for Directed Trees With Compositional Nodes. ArXiv.org (2026)

computer scienceknowledge discoverystructure discoveryknowledge graphsdata sciencemachine learning research

Structure Learning for Directed Trees With Zero-Inflated Compositional Nodes. arXiv (Cornell University) (2026)

computational intelligencemachine learninggraph theoryknowledge discoverystructure discoveryknowledge graphsdata sciencemachine learning research

A Generalized Tangent Approximation Based Variational Inference Framework for Strongly Super-Gaussian Likelihoods. ArXiv.org (2025)

gaussian processstatistical inferencestatisticsmathematical optimization

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data. The Annals of Applied Statistics (2025)

Hierarchical Bayesian Operator-Induced Symbolic Regression Trees for Structural Learning of Scientific Expressions. arXiv (Cornell University) (2025)

machine learningbayesian analysissymbolic machine learningdata science

Lilrb4 Regulates Circadian Disruption-Induced Mammary Tumorigenesis via Non-Canonical Wnt Signaling Pathway. Oncogene (2025)

gene expressiononcogenescell signalingcarcinogenesiscell biologychronobiology

nutritional epidemiologyhealth sciencesprecision nutritionnutritionclinical nutritionpublic healthdietary exposure

1
2
3
4
5
22
10 / page

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Dipak Dey

Institution

University of Connecticut

theoretical biology

biological computation

Marc G. Genton

Institution

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statistics

data science

Faming Liang

Institution

Purdue University

biomedical informatics

computational biology

Marina Vannucci

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bayesian statistic

statistical model

Yufeng Liu

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biomedical data science

statistical machine learning

Brian Reich

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statistical methodology

Kun Chen

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biomedical data science

large-scale statistical learning

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biostatistics

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visualization

scientific computing