4 papers
Competing-Risk Cure Models: A Comprehensive Systematic Review of Methodological Literature
Nilotpal Sanyal
Competing-risk cure models describe time-to-event populations with individuals immune to all event types or an event of interest, yet literature is fragmented across model families…
Resolution-Adaptive Compact-Support Priors for Bayesian Wavelet Denoising
Nilotpal Sanyal
We propose a resolution-adaptive Bayesian wavelet denoising method for noisy one-dimensional signals. Its central innovation is a spike-and-slab prior whose continuous slab mixes a…
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
Nilotpal Sanyal
We propose a novel Bayesian wavelet regression approach using a three-component spike-and-slab prior for wavelet coefficients, combining a point mass at zero, a moment (MOM) prior,…
Iterative variable selection for high-dimensional data with binary outcomes
Nilotpal Sanyal
We propose an iterative variable selection scheme for high-dimensional data with binary outcomes. The scheme adopts a structured screen-and-select framework and uses non-local prio…