Bani Mallick

Affiliations: 
Texas A & M University, College Station, TX, United States 
Area:
Statistics
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"Bani Mallick"

Children

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Nicholas A. Rose grad student 2002 Texas A & M
Kyeong E. Lee grad student 2004 Texas A & M
Kyounghwa Bae grad student 2005 Texas A & M
Ilsung Chang grad student 2005 Texas A & M
Soma S. Dhavala grad student 2010 Texas A & M
Brian M. Hartman grad student 2010 Texas A & M
Bledar Konomi grad student 2011 Texas A & M
Anirban Mondal grad student 2011 Texas A & M
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Publications

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Zoh RS, Mallick B, Ivanov I, et al. (2016) PCAN: Probabilistic correlation analysis of two non-normal data sets. Biometrics
Dreano D, Mallick B, Hoteit I. (2015) Filtering remotely sensed chlorophyll concentrations in the Red Sea using a space-time covariance model and a Kalman filter Spatial Statistics. 13: 1-20
Guha N, Wu X, Efendiev Y, et al. (2015) A variational Bayesian approach for inverse problems with skew-t error distributions Journal of Computational Physics. 301: 377-393
Zhang L, Baladandayuthapani V, Mallick BK, et al. (2014) Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer. Journal of the Royal Statistical Society. Series C, Applied Statistics. 63: 595-620
Sarkar A, Mallick BK, Staudenmayer J, et al. (2014) Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 23: 1101-1125
Sarkar A, Mallick BK, Carroll RJ. (2014) Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors. Biometrics. 70: 823-34
Talluri R, Baladandayuthapani V, Mallick BK. (2014) Bayesian sparse graphical models and their mixtures. Stat. 3: 109-125
Baladandayuthapani V, Talluri R, Ji Y, et al. (2014) Bayesian sparse graphical models for classification with application to protein expression data Annals of Applied Statistics. 8: 1443-1468
Konomi BA, Sang H, Mallick BK. (2014) Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations Journal of Computational and Graphical Statistics. 23: 802-829
Mondal A, Mallick B, Efendiev Y, et al. (2014) Bayesian uncertainty quantification for subsurface inversion using a multiscale hierarchical model Technometrics. 56: 381-392
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