Subharup Guha

发表

hmmSeq: A hidden Markov model for detecting differentially expressed genes from RNA-seq data

Subharup Guha, Marco A. R. Ferreira, Allison N. Tegge, 2015, 1509.04838.

Generalized Poststratification and Importance Sampling for Subsampled Markov Chain Monte Carlo Estimation

Subharup Guha, Steven N. MacEachern, S. MacEachern, 2006 .

Benchmark Estimation for Markov chain Monte Carlo Samples

S. MacEachern, M. Peruggia, Subharup Guha, 2004 .

Posterior Simulation in Countable Mixture Models for Large Datasets

Subharup Guha, 2010 .

Posterior Simulation in the Generalized Linear Mixed Model With Semiparametric Random Effects

Subharup Guha, Subharup Guha, 2008 .

A nonparametric bayesian technique for high-dimensional regression

V. Baladandayuthapani, Subharup Guha, 2016, 1604.03615.

Bayesian Disease Classification Using Copy Number Data

Yuan Ji, Veerabhadran Baladandayuthapani, Subharup Guha, 2014, Cancer informatics.

Nonparametric Variable Selection, Clustering and Prediction for High-Dimensional Regression

V. Baladandayuthapani, Subharup Guha, 2014, 1407.5472.

Discussion on the paper by Kong, McCullagh, Meng, Nicolae and Tan

S. MacEachern, J. Robins, Y. Ritov, 2003 .

Benchmark Estimation for Markov Chain

S. MacEachern, M. Peruggia, Subharup Guha, 2016 .

Parametric and semiparametric hypotheses in the linear model

Subharup Guha, Steven N. MacEachern, S. MacEachern, 2011 .

Bayesian Nonparametric Differential Analysis for Dependent Multigroup Data with Application to DNA Methylation Analyses in Cancer

V. Baladandayuthapani, Subharup Guha, C. Gu, 2017 .

Spatio-Temporal Analysis of Areal Data and Discovery of Neighborhood Relationships in Conditionally Autoregressive Models Subharup Guha

L. Ryan, Subharup Guha, 2016 .

A zero-inflated Bayesian nonparametric approach for identifying differentially abundant taxa in multigroup microbiome data with covariates

Subharup Guha, S. Datta, Archie Sachdeva, 2022, 2206.10108.

A zero-inflated Bayesian nonparametric approach for identifying differentially abundant taxa in multigroup microbiome data with covariates

Subharup Guha, S. Datta, Archie Sachdeva, 2022, 2206.10108.

Unconfounded Meta-analytical Frameworks for Multivariate Outcomes in Multigroup Observational Studies using Concordant Weights

Subharup Guha, Yi Li, S. Subramanian, 2022, 2212.09128.

A Clustering Approach to Integrative Analysis of Multiomic Cancer Data

Subharup Guha, Dongyan Yan, 2022, 2202.04799.

Bayesian Nonparametric Differential Analysis for Dependent Multigroup Data with Application to Colorectal Cancer DNA Methylation

Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Subharup Guha, 2017 .

Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data

V. Baladandayuthapani, Subharup Guha, C. Gu, 2022, 2204.04840.

Predicting phenotypes from brain connection structure

D. Dunson, R. Jung, Subharup Guha, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Bayesian Hidden Markov Modeling of Array CGH Data

Yi Li, Donna Neuberg, Subharup Guha, 2008, Journal of the American Statistical Association.

Semiparametric Bayesian analysis of high-dimensional censored outcome data

Yi Li, Subharup Guha, Chetkar Jha, 2017 .

A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients.

M. Norkin, Subharup Guha, J. Wingard, 2019, Blood advances.

Gauss–Seidel Estimation of Generalized Linear Mixed Models With Application to Poisson Modeling of Spatially Varying Disease Rates

Michele Morara, Subharup Guha, Louise Ryan, 2009 .

Spatio-temporal Analysis of Acute Admissions for Ischemic Heart Disease in NSW, Australia

L. Ryan, R. Sparks, Subharup Guha, 2005, Environmental and Ecological Statistics.

Mixture cure survival models with dependent censoring

Yi Li, Subharup Guha, Ram C. Tiwari, 2007 .

Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier

Subharup Guha, S. Datta, Archie Sachdeva, 2021, Frontiers in Genetics.

Bioinformatics Pre-Processing of Microbiome Data with An Application to Metagenomic Forensics

Subharup Guha, S. Datta, Archie Sachdeva, 2021, Statistical Analysis of Microbiome Data.

Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets

Veerabhadran Baladandayuthapani, Subharup Guha, Chiyu Gu, 2015 .

Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data

V. Baladandayuthapani, Subharup Guha, C. Gu, 2022, Bayesian Analysis.

Causally Interpretable Meta-Analysis of Multivariate Outcomes in Observational Studies

Subharup Guha, Yi Li, 2023 .

Unconfounded Meta-analytical Frameworks for Multivariate Outcomes in Multigroup Observational Studies using Concordant Weights

Subharup Guha, D. Christiani, Yi Li, 2022, 2212.09128.

Causal meta-analysis by integrating multiple observational studies with multivariate outcomes.

Subharup Guha, Yi Li, 2023, Biometrics.

A New Integrative Method for Multigroup Comparisons of Censored Survival Outcomes in Multiple Observational Studies

Subharup Guha, Yi Li, D. Christiani, 2022, 2209.06361.

A novel approach to augment single-arm clinical studies with real-world data

R. Tiwari, Subharup Guha, Archie Sachdeva, 2021, Journal of biopharmaceutical statistics.

Probabilistic Detection and Estimation of Conic Sections From Noisy Data

S. Ghosh, Subharup Guha, 2019, Journal of Computational and Graphical Statistics.

Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU

Subharup Guha, Jiyeon Song, Yi Li, 2023, Statistics in Biosciences.

Bayesian Disease Classification Using Copy Number Data

V. Baladandayuthapani, Subharup Guha, Yuan Ji, 2014, Cancer informatics.