Jha, C. and Sun, D. “A general scheme for deriving conditional reference priors”. Bayesian Analysis, 19(1) 153-179, March 2024. {https://doi.org/10.1214/22-BA1345}.
Jha, C. and Sun, D. (2019) "Reference Analysis of Non-regular data and and nonparametric Bayes modeling of Large data" {Technical Report. (PhD Dissertation)}
Jha,C. (2018) "A Nonparametric Bayesian Method For Clustering of High-Dimensional Mixed Data" \textit{https://arxiv.org/abs/1808.04045} (Technical Report)
Jha, C. and Li, Y., and Guha, S. “Semiparametric Bayesian analysis of high-dimensional censored outcome data”. Statistical Theory and Related Field 1(2), 194-204 (2017).
{https://doi/10.1080/24754269.2017.1396436}
Jha, C. and , Mingyao, Li., and Barnett, Ian. (2026). ``Multiple Testing To Estimate The Number of Communities in Stochastic Block Models'' {https://arxiv.org/pdf/2507.15471}.(Under Review).
Jha, C. (2026). ``Rank-PA: Consistency of Number of Components of PCA for heavy-tailed distributions and Mixed Loadings'' (Under Review).
Jha, C. and Barnett, Ian.(2026) "Confidence Intervals For the Number of Spiked Components in Factor Analysis and Principal Component Analysis Via Subsampling" {https://arxiv.org/pdf/2205.04945} (Under Revision)
Jha, C. and Mondal, Debashis. (2026) "A MCMC based Approach For Estimating The Number of Communities in Degree-Corrected Stochastic Block Models" (Under Preparation)
Jha, C. and Jana, I. and Sengupta, S. (2026+) "A nonparametric Test For Co-spectrality Of Networks" (Under Preparation)
Cao, A. (student) and Jha, C. (2026). "A Method For Estimating The Number of Components in Principal Component Analysis For Missing Data" (Under Preparation).
Kedia, A. (student) and \textbf{Jha, C.} (2026+). "A Dimensionality Aware LARS Estimator For Sparse Linear Regression" (Under Preparation).
Jha, C. (2026+) "A Dynamic Bayesian Nonparameteric Model For Time Gene Expression Data" (Under Preparation).
Kalkana, T. (student) and Jha, C. (2026+) "Exploring Factors in Indian Micro-biome data" (Under Preparation).
Jha, C. (2026+) "Network-Sampling Based JEPA Method for Predicting Lesions in Medical Image Datasets "