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Hello 👋

My name is Jyotishka Datta. I am an Assistant Professor of Statistics in the Department of Statistics at Virginia Tech (Virginia Polytechnic Institute and State University).

My research interest spans Bayesian methodology and theory for structured, often high-dimensional data. I have contributed to the areas of global-local priors, multiple testing, shrinkage estimation, sparse signal recovery, nonparametric Bayes, bioinformatics, and default Bayes. Recent applications include next-gen sequencing studies, auditory neuroscience, ecology and crime forecasting.

My Google Scholar Profile: http://bit.ly/1OTdd9h, and my Github repo: https://github.com/dattahub.

Please visit: https://jyotishkadatta.wordpress.com/ for details on my publications, teaching, CV etc.

  • 📫 How to reach me: jyotishka[at]vt[dot]edu.
  • 😄 Pronouns: he/him/his.

Jyotishka Datta's Projects

bayes-sqlasso icon bayes-sqlasso

Work in progress draft and codes for Bayesian square-root Lasso

beginner icon beginner

Introductory workshop for R collected from different sources

changepoint icon changepoint

Source codes for Bayesian changepoint detection problem.

compshrink icon compshrink

Shrinkage priors for variable selection for Bayesian Dirichlet-Multinomial regression model

dattahub.github.io icon dattahub.github.io

Website for current projects, intended for sharing codes for recently developed Statistical methods and also other write-ups. Created and maintained by Jyotishka Datta.

dsp icon dsp

Dynamic Shrinkage Processes

gausshg icon gausshg

This is a repository for posting supplementary materials (additional notes and R codes) for simulating from the Gauss-Hypergeometric distribution, proposed by Armero and Bayarri (1994), and used in the context of inference for sparse count data by Datta & Dunson (2016).

gl icon gl

Project folder for integral / global-local mixtures paper

graphical_hsl icon graphical_hsl

Codes for estimating precision matrix with graphical horseshoe-like prior and competing procedures

hs_in_sur icon hs_in_sur

Matlab and R codes for reproducing the simulation experiments in "Joint mean–covariance estimation via the horseshoe" by Yunfan Li, Jyotishka Datta, Bruce A. Craig, Anindya Bhadraa

ipw icon ipw

Comparison of Inverse Probability Weight Estimators

journal-club icon journal-club

Post papers on ArXiv for journal club / discussion / personal interest.

qis icon qis

Quantile Importance Sampling

seirfansy icon seirfansy

Extended Susceptible-Exposed-Infected-Recovery (SEIR) Model for handling high False Negative Rate and Symptom based administration of diagnostic tests

sls-2019 icon sls-2019

Lecture slides, R, and Stan codes for the pre-conference workshop for SLS 2019.

twosampledpm icon twosampledpm

R codes for two-sample testing with DPM-Poisson-Gamma model

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