Bani Mallick - Publications

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

50 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Guha N, Baladandayuthapani V, Mallick BK. Quantile Graphical Models: Bayesian Approaches. Journal of Machine Learning Research : Jmlr. 21: 1-47. PMID 34305477  0.339
2020 Lee SY, Lei B, Mallick B. Estimation of COVID-19 spread curves integrating global data and borrowing information. Plos One. 15: e0236860. PMID 32726361 DOI: 10.1371/Journal.Pone.0236860  0.371
2020 Ghosh RP, Mallick B, Pourahmadi M. Bayesian Estimation of Correlation Matrices of Longitudinal Data Bayesian Analysis. DOI: 10.1214/20-Ba1237  0.308
2019 Kundu S, Mallick BK, Baladandayuthapan V. Efficient Bayesian Regularization for Graphical Model Selection. Bayesian Analysis. 14: 449-476. PMID 33123305 DOI: 10.1214/17-Ba1086  0.372
2019 Zhao K, Wulder MA, Hu T, Bright R, Wu Q, Qin H, Li Y, Toman E, Mallick B, Zhang X, Brown M. Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm Remote Sensing of Environment. 232: 111181. DOI: 10.1016/J.Rse.2019.04.034  0.352
2018 Song JJ, Mallick B. Hierarchical Bayesian models for predicting spatially correlated curves Statistics. 53: 196-209. DOI: 10.1080/02331888.2018.1547905  0.402
2017 Efendiev Y, Leung WT, Cheung SW, Guha N, Hoang VH, Mallick B. BAYESIAN MULTISCALE FINITE ELEMENT METHODS. MODELING MISSING SUBGRID INFORMATION PROBABILISTICALLY International Journal For Multiscale Computational Engineering. 15: 175-197. DOI: 10.1615/Intjmultcompeng.2017019851  0.324
2017 Chakraborty A, Bingham D, Dhavala SS, Kuranz CC, Drake RP, Grosskopf MJ, Rutter EM, Torralva BR, Holloway JP, McClarren RG, Mallick BK. Emulation of Numerical Models With Over-Specified Basis Functions Technometrics. 59: 153-164. DOI: 10.1080/00401706.2016.1164078  0.735
2016 Zoh RS, Mallick B, Ivanov I, Baladandayuthapani V, Manyam G, Chapkin RS, Lampe JW, Carroll RJ. PCAN: Probabilistic correlation analysis of two non-normal data sets. Biometrics. PMID 27037601 DOI: 10.1111/Biom.12516  0.394
2015 Dreano D, Mallick B, Hoteit I. Filtering remotely sensed chlorophyll concentrations in the Red Sea using a space-time covariance model and a Kalman filter Spatial Statistics. 13: 1-20. DOI: 10.1016/J.Spasta.2015.04.002  0.376
2014 Talluri R, Baladandayuthapani V, Mallick BK. Bayesian sparse graphical models and their mixtures. Stat. 3: 109-125. PMID 24948842 DOI: 10.1002/sta4.49  0.338
2014 Konomi BA, Sang H, Mallick BK. Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations Journal of Computational and Graphical Statistics. 23: 802-829. DOI: 10.1080/10618600.2013.812872  0.735
2014 Mondal A, Mallick B, Efendiev Y, Datta-Gupta A. Bayesian uncertainty quantification for subsurface inversion using a multiscale hierarchical model Technometrics. 56: 381-392. DOI: 10.1080/00401706.2013.838190  0.579
2013 Xun X, Cao J, Mallick B, Carroll RJ, Maity A. Parameter Estimation of Partial Differential Equation Models. Journal of the American Statistical Association. 108. PMID 24363476 DOI: 10.1080/01621459.2013.794730  0.42
2013 Konomi BA, Dhavala SS, Huang JZ, Kundu S, Huitink D, Liang H, Ding Y, Mallick BK. Bayesian object classification of gold nanoparticles Annals of Applied Statistics. 7: 640-668. DOI: 10.1214/12-Aoas616  0.635
2013 Zhao K, Valle D, Popescu S, Zhang X, Mallick B. Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection Remote Sensing of Environment. 132: 102-119. DOI: 10.1016/J.Rse.2012.12.026  0.421
2012 Richardson S, Bottolo L, Rosenthal JS, Mallick B, Dhavala SS, Liang F, Talluri R, Wu M. Bayesian Models for Sparse Regression Analysis of High Dimensional Data Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0018  0.721
2011 Xun X, Mallick B, Carroll RJ, Kuchment P. A Bayesian approach to the detection of small low emission sources. Inverse Problems. 27. PMID 22347764 DOI: 10.1088/0266-5611/27/11/115009  0.324
2011 Lobach I, Mallick B, Carroll RJ. Semiparametric Bayesian analysis of gene-environment interactions with error in measurement of environmental covariates and missing genetic data. Statistics and Its Interface. 4: 305-316. PMID 21949562 DOI: 10.4310/Sii.2011.V4.N3.A5  0.39
2011 Parzen M, Ghosh S, Lipsitz S, Sinha D, Fitzmaurice GM, Mallick BK, Ibrahim JG. A generalized linear mixed model for longitudinal binary data with a marginal logit link function. The Annals of Applied Statistics. 5: 449-467. PMID 21532998 DOI: 10.1214/10-Aoas390  0.307
2011 Ryu D, Li E, Mallick BK. Bayesian nonparametric regression analysis of data with random effects covariates from longitudinal measurements. Biometrics. 67: 454-66. PMID 20880012 DOI: 10.1111/J.1541-0420.2010.01489.X  0.345
2011 Stripling HF, Adams ML, McClarren RG, Mallick BK. The Method of Manufactured Universes for validating uncertainty quantification methods Reliability Engineering and System Safety. 96: 1242-1256. DOI: 10.1016/J.Ress.2010.11.012  0.31
2010 Dhavala SS, Datta S, Mallick BK, Carroll RJ, Khare S, Lawhon SD, Adams LG. Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection. Journal of the American Statistical Association. 105: 956-967. PMID 21165171 DOI: 10.1198/Jasa.2010.Ap08327  0.698
2010 Sturino J, Zorych I, Mallick B, Pokusaeva K, Chang YY, Carroll RJ, Bliznuyk N. Statistical methods for comparative phenomics using high-throughput phenotype microarrays. The International Journal of Biostatistics. 6: Article 29. PMID 20865133 DOI: 10.2202/1557-4679.1227  0.383
2010 Mondal A, Efendiev Y, Mallick B, Datta-Gupta A. Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods Advances in Water Resources. 33: 241-256. DOI: 10.1016/J.Advwatres.2009.10.010  0.546
2010 Efendiev Y, Datta-Gupta A, Hwang K, Ma X, Mallick B. Bayesian Partition Models for Subsurface Characterization Large-Scale Inverse Problems and Quantification of Uncertainty. 107-122. DOI: 10.1002/9780470685853.ch6  0.323
2009 Efendiev Y, Datta-Gupta A, Ma X, Mallick B. Efficient sampling techniques for uncertainty quantification in history matching using nonlinear error models and ensemble level upscaling techniques Water Resources Research. 45. DOI: 10.1029/2008Wr007039  0.42
2008 Bae K, Mallick BK, Elsik CG. Prediction of protein interdomain linker regions by a nonstationary hidden Markov model Journal of the American Statistical Association. 103: 1085-1099. DOI: 10.1198/016214508000000661  0.538
2008 Efendiev Y, Datta-Gupta A, Ma X, Mallick B. Modified Markov Chain Monte Carlo Method for Dynamic Data Integration Using Streamline Approach Mathematical Geosciences. 40: 213-232. DOI: 10.1007/S11004-007-9137-1  0.364
2007 Ryu D, Sinha D, Mallick B, Lipsitz SL, Lipshultz S. Longitudinal Studies With Outcome-Dependent Follow-up: Models and Bayesian Regression. Journal of the American Statistical Association. 102: 952-967. PMID 18392118 DOI: 10.1198/016214507000000248  0.379
2007 Wang X, Ray S, Mallick BK. Bayesian Curve Classification Using Wavelets Journal of the American Statistical Association. 102: 962-973. DOI: 10.1198/016214507000000455  0.371
2006 Ray S, Mallick B. Functional clustering by Bayesian wavelet methods Journal of the Royal Statistical Society. Series B: Statistical Methodology. 68: 305-332. DOI: 10.1111/J.1467-9868.2006.00545.X  0.352
2006 Song J, Ghosh M, Miaou S, Mallick B. Bayesian multivariate spatial models for roadway traffic crash mapping Journal of Multivariate Analysis. 97: 246-273. DOI: 10.1016/J.Jmva.2005.03.007  0.447
2005 Bae K, Mallick BK, Elsik CG. Prediction of protein interdomain linker regions by a hidden Markov model. Bioinformatics (Oxford, England). 21: 2264-70. PMID 15746283 DOI: 10.1093/Bioinformatics/Bti363  0.55
2005 Holmes CC, Denison DGT, Ray S, Mallick BK. Bayesian Prediction via Partitioning Journal of Computational and Graphical Statistics. 14: 811-830. DOI: 10.1198/106186005X78107  0.311
2005 Efendiev Y, Datta-Gupta A, Ginting V, Ma X, Mallick B. An efficient two-stage Markov chain Monte Carlo method for dynamic data integration Water Resources Research. 41. DOI: 10.1029/2004Wr003764  0.367
2005 Efendiev Y, Datta-Gupta A, Osako I, Mallick B. Multiscale data integration using coarse-scale models Advances in Water Resources. 28: 303-314. DOI: 10.1016/J.Advwatres.2004.10.013  0.364
2005 Zhang F, Mallick B, Weng Z. A Bayesian method for identifying independent sources of non-random spatial patterns Statistics and Computing. 15: 329-339. DOI: 10.1007/S11222-005-4075-6  0.389
2004 Bae K, Mallick BK. Gene selection using a two-level hierarchical Bayesian model. Bioinformatics (Oxford, England). 20: 3423-30. PMID 15256404 DOI: 10.1093/Bioinformatics/Bth419  0.578
2004 Kim HM, Mallick BK. A Bayesian prediction using the skew Gaussian distribution Journal of Statistical Planning and Inference. 120: 85-101. DOI: 10.1016/S0378-3758(02)00501-3  0.303
2003 Lee KE, Sha N, Dougherty ER, Vannucci M, Mallick BK. Gene selection: a Bayesian variable selection approach. Bioinformatics (Oxford, England). 19: 90-7. PMID 12499298 DOI: 10.1093/Bioinformatics/19.1.90  0.516
2003 Holmes CC, Mallick BK. Generalized nonlinear modeling with multivariate free-knot regression splines Journal of the American Statistical Association. 98: 352-368. DOI: 10.1198/016214503000143  0.391
2002 Mallick B, Hoffman FO, Carrol RJ. Semiparametric regression modeling with mixtures of Berkson and classical error, with application to fallout from the Nevada test site. Biometrics. 58: 13-20. PMID 11890308 DOI: 10.1111/J.0006-341X.2002.00013.X  0.352
2001 Mallick BK, Denison DG, Smith AF. Bayesian survival analysis using a MARS model. Biometrics. 55: 1071-7. PMID 11315050 DOI: 10.1111/j.0006-341X.1999.01071.x  0.301
2001 Holmes CC, Mallick BK. Bayesian regression with multivariate linear splines Journal of the Royal Statistical Society. Series B: Statistical Methodology. 63: 3-17.  0.327
1998 Holmes CC, Mallick BK. Bayesian Radial Basis Functions of Variable Dimension Neural Computation. 10: 1217-1233.  0.328
1997 Kuo L, Mallick B. Bayesian semiparametric inference for the accelerated failure‐time model Canadian Journal of Statistics-Revue Canadienne De Statistique. 25: 457-472. DOI: 10.2307/3315341  0.449
1997 Kuo L, Mallick B. Bayesian semiparametric inference for the accelerated failure-time model Canadian Journal of Statistics. 25: 457-472.  0.344
1995 Gelfand AE, Mallick BK. Bayesian analysis of proportional hazards models built from monotone functions. Biometrics. 51: 843-52. PMID 7548703 DOI: 10.2307/2532986  0.322
1994 Mallick BK, Gelfand AE. Generalized linear models with unknown link functions Biometrika. 81: 237-245. DOI: 10.1093/Biomet/81.2.237  0.313
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