Research
Areas of Interests:
Gaussian graphical models
Clinical trial design
Model-based clustering
Multiple hypothesis testing
Scalable computation
Bayesian asymptotics
Publications:
Chandra, N. K., Sarkar, A., de Groot, J. F., Yuan, Y. & Müller, P. (2023) Bayesian nonparametric common atoms regression for generating synthetic controls in clinical trials, Journal of the American Statistical Association, 118:2301-2314 Software
Chandra, N. K., Canale, A. & Dunson, D. B. (2023) Escaping the curse of dimensionality in Bayesian model based clustering, Journal of Machine Learning Research, 24:1-42 Software
Müller, P., Chandra, N. K. & Sarkar, A. (2023) Bayesian approaches to include real-world data in clinical studies, Philosophical Transactions of the Royal Society A, 381:20220158
Chandra, N. K. & Bhattacharya, S. (2022) Dependent Bayesian multiple hypothesis testing, Handbook of Statistics, 47:67-81
Chandra, N. K. & Bhattacharya, S. (2021) Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification, Annals of the Institute of Statistical Mathematics, 73:891-920
Chandra, N. K. & Bhattacharya, S. (2019) Non-marginal decisions: A novel Bayesian multiple testing procedure, Electronic Journal of Statistics, 13:489-535
Chandra, N. K., Singh, R. & Bhattacharya, S. (2019) A novel Bayesian multiple testing approach to deregulated miRNA discovery harnessing positional clustering, Biometrics, 75:202-209
Pal, N., Samanta, S. K., Chakraborty, A., Chandra, N. K. & Chandra, A. K. (2017) Interrelationship between iodine nutritional status of lactating mothers and their absolutely breast-fed infants in coastal districts of Gangetic West Bengal in India, European Journal of Pediatrics, 177:39-45
Preprints:
Chandra, N. K., Dunson, D. B. & Xu, J. (2024+) Inferring covariance structure from multiple data sources via subspace factor analysis, Submitted Software
Chandra, N. K.*, Sitek, K. R.*, Chandresekaran, B. & Sarkar, A. & (2024+) Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations, Submitted
*=contributed equallyChandra, N. K., Müller, P. & Sarkar, A. (2024+) Bayesian scalable precision factor analysis for massive sparse Gaussian graphical models, Submitted
Lu, Z. & Chandra, N. K. (2024+) A sparse factor model for clustering high-dimensional longitudinal data, Submitted