Bani K. Mallick
University Distinguished Professor
Professor of Statistics, Texas A&M
University
Office: 459B Blocker Building.
Hours: TBA
Phone: (979) 845-1275.(office)
FAX: (979) 845-3144.
E-mail:
bmallick@stat.tamu.edu
Address:
Statistics Department , Texas
A&M University ,
College Station, TX 77843-3143 USA.
Education
Awards and Honors
- Fellow of the Institute of Mathematical Statistics, elected in 2008
- University Distinguished Achievement Award in
Research, Texas A&M University, 2006
- Fellow of the American Statistical Association, elected in 2005
- Member of the International Statistical Institute, elected in 1999
- Elected Fellow of the Royal Statistical Society
- Noether Award by University of Connecticut for outstanding
performance in graduate study, 1992
- Mahalanobis award by Presidency College for outstanding
performance in
under graduate study
Editorial Service
Associate Editor: Journal of
Computation and Graphical Statistics
Associate Editor: Biostatistics
Grants
Funded by multiple NSF, NIH, DOE grants
Course I'm Teaching
STAT652
Research Interests
- 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
Selected Publications (2010)
- Dhavala, S, Datta, S., Mallick, B., Carroll, R. and Adams,
G. (2010) Bayesian modeling of MPSS data: Gene expression analysis of
Bovine Salmonella infection. Journal of the American Statistical
Association, 105,956-967.
- Sinha S, Mallick B.K, Kipnis V, Carroll R.J. (2010)
Semiparametric Bayesian Analysis of Nutritional Epidemiology Data in the
Presence of Measurement Error. Biometrics , 66, 444-454.
- Mondal, A., Efendiev, Y,Mallick, B. and Datta Gupta,
A. (2010) Bayesian Uncertainty Quantification for Flows in Heterogeneous
Porous Media using Reversible Jump Markov Chain Monte Carlo Methods.
Advances in Water resources, 33,241-256
- Sturino, J., Zorych, I., Mallick, B., Pokusaeva, K.,
Carroll, R. (2011) Statistical Methods for Comparative Phenomics using
High-throughput Phenotype Microarrays. The intrenational journal of
Biostatistics, 6
- Parzen, M., Ghosh, S., Lipsitz, S., Fitzmaurice, Ibrahim,
J. and Mallick, B. (2011) A generalized linear mixed model for longitudinal
binary data with a marginal logit link function. Annals of Applied
Statistics (To appear).
- Ryu, D., Li, E. and Mallick, B. (2010), Bayesian
nonparametric regression analysis when covariates are subject-specific
parameters in a random effect model for longitudinal measurement.
Biometrics (to appear).
- Lobach, I., Mallick, B., Carroll, R. (2011) Bayesian
analysis of case-control data with gene environment interaction and error
in measurement of environmental covariates. Statistics and its
interface (to appear)
- McClarren, R., Ryu, D., Drake, P., Bingham, D., Fryxell,
B., Mallick, B., Torralva, B. (2011) A Physical informed emulator for
laser-driven radiation shock simulations. Reliability engineering and
system safety (to appear)
- Xia, H., Ding, Y. and Mallick, B. (2010) Bayesian
hierarchical model for combining misaligned two-resolution metrology
data. IIE transactions, (to appear).
- Ghosh, S.and Mallick, B. (2010) A Hierarchical Bayesian
Spatio-temporal Model for Extreme Precipitation Events. Environmetrics, (to appear)
- Huitink, D., Kundu, S., Park, C., Mallick, B., Huang, J. and Liang, H. (2010) Nanoparticle shape evolution identified through multivariate statistics. Journal of Physical Chemistry 114, 5596-5600.
Research Groups
Bayesian
Bioinformatics
Laboratory
Multiscale
spatial models
for petroleum mapping
Collaborations in
Math and Geosciences
The books I have written
Bayesian Analysis of gene expression Data, Wiley.
Bayesian methods for nonlinear classification and
Regression, Wiley, NY.
The books I have edited
- Generalized Linear Models: A Bayesian perspective,
Marcel Dekker inc.,
NY.
- Nonlinear Estimation and Classification,
Springer.
- Large-scale inverse problems and quantification of
uncertainty, Wiley, NY.
- Dey, D., Ghosh, S. and Mallick, B. Bayesian Modeling Issues in Bioinformatics and Biostatistics, Chapman and Hall/CRC .