activity
20202026
most citedStochastic comparisons of lifetimes of series and parallel systems with dependent and heterogeneous components

16 citations · 20 across the 14 of their papers we have counts for

collaborators

15 papers

stat.ML2026

BVFLMSP : Bayesian Vertical Federated Learning for Multimodal Survival with Privacy

Abhilash Kar, Basisth Saha, Tanmay Sen +1

Multimodal time-to-event prediction often requires integrating sensitive data distributed across multiple parties, making centralized model training impractical due to privacy cons…

stat.ML2026

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…

stat.AP2025

Bayesian reliability acceptance sampling plans for competing risks data under interval censoring

Biswabrata Pradhan, Rathin Das

We obtain a reliability acceptance sampling plan for independent competing risk data under interval censoring schemes using the Bayesian approach. At first, the Bayesian reliabilit…

stat.ME2025

Bayesian reliability acceptance sampling plan sampling plans under adaptive accelerated type-II censored competing risk data

Rathin Das, Soumya Roy, Biswabrata Pradhan

In recent times, products have become increasingly complex and highly reliable, so failures typically occur after long periods of operation under normal conditions and may arise fr…

stat.AP2025★ 1 cited

Determination of Optimum Warranty Region for Two Dimensional Dependent Data

Rathin Das, Tanmay Sen, Ritwik Bhattacharya +1

This paper presents a method for determining the optimal two-dimensional warranty region for age and mileage scales across all possible combinations of free replacement warranty (F…

stat.ME2025

Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method

Barin Karmakar, Biswabrata Pradhan

Degradation data are considered for assessing reliability in highly reliable systems. The usual assumption is that degradation units come from a homogeneous population. But in pres…