Sounak Chakraborty

发表

Survival prediction and variable selection with simultaneous shrinkage and grouping priors

Jianguo Sun, Kyu Ha Lee, Sounak Chakraborty, 2015, Stat. Anal. Data Min..

Computational Statistics and Data Analysis Simultaneous Cancer Classification and Gene Selection with Bayesian Nearest Neighbor Method: an Integrated Approach

Sounak Chakraborty, S. Chakraborty, 2022 .

Computational Statistics and Data Analysis Bayesian Binary Kernel Probit Model for Microarray Based Cancer Classification and Gene Selection

Sounak Chakraborty, S. Chakraborty, 2022 .

Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis

Chang Xu, Sounak Chakraborty, S. Chakraborty, 2017, Stat. Anal. Data Min..

A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data

Sounak Chakraborty, Ruixin Guo, S. Chakraborty, 2011, Comput. Stat. Data Anal..

A Bayesian approach to estimating the long memory parameter

Sounak Chakraborty, Scott H. Holan, Tucker McElroy, 2009 .

Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior

Jianguo Sun, Kyu Ha Lee, Sounak Chakraborty, 2017, Comput. Stat. Data Anal..

Heritable genotype contrast mining reveals novel gene associations specific to autism subgroups

Chi-Ren Shyu, Matthew Spencer, Sounak Chakraborty, 2018, J. Biomed. Informatics.

Hierarchical Bayesian Neural Networks

Tapabrata Maiti, Sounak Chakraborty, Ashutosh Tewari, 2004 .

Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy

Sounak Chakraborty, S. Chakraborty, 2012, Comput. Stat. Data Anal..

Bayesian neural networks for bivariate binary data: an application to prostate cancer study

Tapabrata Maiti, Malay Ghosh, Sounak Chakraborty, 2005, Statistics in medicine.

Predicting disease risks from highly imbalanced data using random forest

Mohammad Khalilia, Mihail Popescu, Sounak Chakraborty, 2011, BMC Medical Informatics Decis. Mak..

Bayesian hierarchical kernel machines for nonlinear regression and classification

Malay Ghosh, Bani K. Mallick, Sounak Chakraborty, 2013 .

A graph Laplacian prior for Bayesian variable selection and grouping

Aurelie C. Lozano, Sounak Chakraborty, A. Lozano, 2019, Comput. Stat. Data Anal..

Bayesian nonlinear regression for large p small n problems

Malay Ghosh, Bani K. Mallick, Sounak Chakraborty, 2012, J. Multivar. Anal..

ComPhy: prokaryotic composite distance phylogenies inferred from whole-genome gene sets

Guohui Lin, Zhipeng Cai, Dong Xu, 2009, BMC Bioinformatics.

Bayesian adaptive nearest neighbor

Sounak Chakraborty, Ruixin Guo, 2010, Stat. Anal. Data Min..

Bayesian adaptive nearest neighbor

Sounak Chakraborty, Ruixin Guo, 2010 .

Bayesian Elastic-Net and Fused Lasso for Semiparametric Structural Equation Models

Sounak Chakraborty, Adam Lane, S. Chakraborty, 2013 .

Applications of Bayesian Neural Networks in Prostate Cancer Study

Malay Ghosh, Sounak Chakraborty, M. Ghosh, 2012 .

Selection of Tuning Parameters, Solution Paths and Standard Errors for Bayesian Lassos

Vivekananda Roy, Sounak Chakraborty, S. Chakraborty, 2017 .

Bayesian Variable Selection in Semiparametric Proportional Hazards Model for High Dimensional Survival Data

Kyu Ha Lee, Sounak Chakraborty, Jianguo Sun, 2011 .