4 papers
BLOC: A Global Optimization Framework for Sparse Covariance Estimation with Non-Convex Penalties
Priyam Das, Trambak Banerjee, Prajamitra Bhuyan
We introduce BLOC (Black-box Optimization over Correlation matrices), a general framework for sparse covariance estimation with non-convex penalties. BLOC operates on the manifold…
Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Raju Chowdhury, Tanmay Sen, Prajamitra Bhuyan +1
Constrained optimization in high-dimensional black-box settings is difficult due to expensive evaluations, the lack of gradient information, and complex feasibility regions. In thi…
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
Prajamitra Bhuyan, Soutik Halder, Jayant Jha
This paper introduces the modeling of circular data with excess zeros under a longitudinal framework, where the response is a circular variable and the covariates can be both linea…
Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies
Monitirtha Dey, Trambak Banerjee, Prajamitra Bhuyan +1
Replicability is central to scientific progress, and the partial conjunction (PC) hypothesis testing framework provides an objective tool to quantify it across disciplines. Existin…