10 citations · 24 across the 12 of their papers we have counts for
13 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, Biswabrata Pradhan
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…
Estimating Prevalence of Post-war Health Disorders Using Capture-recapture Data
Prajamitra Bhuyan, Kiranmoy Chatterjee
Effective surveillance on the long-term public health impact due to war and terrorist attacks remain limited. Such health issues are commonly under-reported, specifically for a lar…
Causal Analysis at Extreme Quantiles with Application to London Traffic Flow Data
Prajamitra Bhuyan, Kaushik Jana, Emma J. McCoy
Transport engineers employ various interventions to enhance traffic-network performance. Quantifying the impacts of Cycle Superhighways is complicated due to the non-random assignm…
Estimation of Population Size with Heterogeneous Catchability and Behavioural Dependence: Applications to Air and Water Borne Disease Surveillance
Kiranmoy Chatterjee, Prajamitra Bhuyan
Population size estimation based on the capture-recapture experiment is an interesting problem in various fields including epidemiology, criminology, demography, etc. In many real-…
On a Bivariate Copula for Modeling Negative Dependence: Application to New York Air Quality Data
Shyamal Ghosh, Prajamitra Bhuyan, Maxim Finkelstein
In many practical scenarios, including finance, environmental sciences, system reliability, etc., it is often of interest to study the various notion of negative dependence among t…
Analysing the causal effect of London cycle superhighways on traffic congestion
Prajamitra Bhuyan, Emma J. McCoy, Haojie Li +1
Transport operators have a range of intervention options available to improve or enhance their networks. Such interventions are often made in the absence of sound evidence on resul…
Optimal Replacement Policy under Cumulative Damage Model and Strength Degradation with Applications
Phalguni Nanda, Prajamitra Bhuyan, Anup Dewanji
In many real-life scenarios, system failure depends on dynamic stress-strength interference, where strength degrades and stress accumulates concurrently over time. In this paper, w…
On the Estimation of Population Size from a Dependent Triple Record System
Kiranmoy Chatterjee, Prajamitra Bhuyan
Population size estimation based on capture-recapture experiment under triple record system is an interesting problem in various fields including epidemiology, population studies,…
Two-stage Circular-circular Regression with Zero-inflation: Application to Medical Sciences
Jayant Jha, Prajamitra Bhuyan
This paper considers the modeling of zero-inflated circular measurements concerning real case studies from medical sciences. Circular-circular regression models have been discussed…
On the estimation of population size from a post-stratified two sample capture-recapture data under dependence
Kiranmoy Chatterjee, Prajamitra Bhuyan
Population size estimation based on two sample capture-recapture type experiment is an interesting problem in various fields including epidemiology, pubic health, population studie…