4 papers
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. The model uses a spike-and-slab prior whose continuous slab is a mixture of 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,…
Comparative Review of Modern Competing Risk Methods in High-dimensional Settings
Paul M. Djangang, Summer S. Han, Nilotpal Sanyal
Competing risk analysis accounts for multiple mutually exclusive events, improving risk estimation over traditional survival analysis. Despite methodological advancements, a compre…
High-dimensional iterative variable selection for accelerated failure time models
Nilotpal Sanyal
We propose an iterative variable selection method for the accelerated failure time model using high-dimensional survival data. Our method pioneers the use of the recently proposed…