Mallick, Bani individual record
Distinguished Professor

Bayesian hierarchical Modeling, Nonparametric Regression and classification, Bioinformatics, Spatio-temporal Modeling, Machine learning, Functional Data analysis, Bayesian nonparametrics, Petroleum reservoir characterization, Uncertainty analysis of Computer Model outputs

education and training
selected publications
Academic Articles128
  • Lei, B., Kirk, T. Q., Bhattacharya, A., Pati, D., Qian, X., Arroyave, R., & Mallick, B. K. (2021). Bayesian optimization with adaptive surrogate models for automated experimental design. npj Computational Materials. 7(1), 194.
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  • Ghosh, R. P., Mallick, B., & Pourahmadi, M. (2021). Bayesian Estimation of Correlation Matrices of Longitudinal Data. Bayesian Analysis. 16(3), 1039-1058.
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  • Sarkar, A., Pati, D., Mallick, B. K., & Carroll, R. J. (2021). Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology. Journal of the American Statistical Association. 116(535), 1075-1087.
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  • Maity, A. K., Lee, S. C., Hu, L., Bell-pederson, D., Mallick, B. K., & Sarkar, T. R. (2021). Circadian gene selection for time-to-event phenotype by integrating CNV and RNAseq data. Chemometrics and Intelligent Laboratory Systems. 212, 104276-104276.
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  • Niu, Y., Pati, D., & Mallick, B. K. (2021). Bayesian graph selection consistency under model misspecification.. Bernoulli (Andover). 27(1), 637-672.
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  • Biegler, L., Biros, G., Ghattas, O., Heinkenschloss, M., Keyes, D., Mallick, B., ... Willcox, K. (2010). LargeScale Inverse Problems and Quantification of Uncertainty. Wiley.
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  • Mallick, B. K., Gold, D. L., & Baladandayuthapani, V. (2009). Bayesian Analysis of Gene Expression Data. John Wiley & Sons, Ltd.
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  • Baladandayuthapani, V., Ray, S., & Mallick, B. K. (2005). Bayesian Methods for DNA Microarray Data Analysis. Elsevier.
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  • Baladandayuthapan, V., Wang, X., Mallick, B. K., & Do, K. (2015). Bayesian Functional Mixed Models for Survival Responses with Application to Prostate Cancer. Chen, Z., Liu, A., Qu, Y., Tang, L., Ting, N., & Tsong, Y. (Eds.), ICSA Book Series in Statistics. 35-59. Springer International Publishing.
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  • Richardson, S., Bottolo, L., & Rosenthal, J. S. (2011). Bayesian Models for Sparse Regression Analysis of High Dimensional Data*. Bayesian Statistics 9. 539-568. Oxford University Press.
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  • Efendiev, Y., Datta-Gupta, A., Hwang, K., Ma, X., & Mallick, B. (2010). Bayesian Partition Models for Subsurface Characterization. Large-Scale Inverse Problems and Quantification of Uncertainty. 107-122. John Wiley & Sons, Ltd.
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  • Maity, A., & Mallick, B. K. (2010). Gene Selection for the Identication of Biomarkers in High- Throughput Data. Bayesian Modeling in Bioinformatics. 259-280. Chapman and Hall/CRC.
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  • Mallick, B., Ghosh, D., & Ghosh, M. (2008). Machine Learning in Structural Biology: Interpreting 3D Protein Images. Introduction to Machine Learning and Bioinformatics. 255-294. Chapman and Hall/CRC.
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Conference Papers3
  • Xie, J., Mondal, A., Efendiev, Y., Mallick, B., & Datta-Gupta, A. (2010). History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods. All Days, SPE Improved Oil Recovery Symposium. 1, 393-412.
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  • Drake, R. P., Doss, F. W., Fryxell, B., Grosskopf, M. J., Holloway, J. P., van der Holst, B., ... Bingham, D. (2009). Using high power lasers to create radiative shock waves. 2009 Conference on Lasers & Electro Optics & The Pacific Rim Conference on Lasers and Electro-Optics, The Pacific Rim Conference on Lasers and Electro-Optics (CLEO/PACIFIC RIM). 1, 1-2.
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  • Mallick, B. K., Denison, D., & Gangopadhyay, A. K. (2002). A Bayesian curve fitting approach to power spectrum estimation. JOURNAL OF NONPARAMETRIC STATISTICS. 14(1-2), 141-153.
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Repository Documents / Preprints17
  • Niu, Y., Guha, N., De, D., Bhadra, A., Baladandayuthapani, V., & Mallick, B. K. (2020). Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures.
  • Lee, S. Y., Pati, D., & Mallick, B. K. (2020). Tail-adaptive Bayesian shrinkage.
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  • Afrin, K., Iquebal, A. S., Karimi, M., Souris, A., Lee, S. Y., & Mallick, B. K. (2020). Directionally Dependent Multi-View Clustering Using Copula Model.
editor of
recent teaching activities
chaired theses and dissertations
First Name
Last Name
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143