36 citations · 59 across the 16 of their papers we have counts for
4 papers · 1 filter
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Abhra Sarkar, Debdeep Pati, Bani K. Mallick +1
Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional epidemiology. Since these variab…
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors
Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
This article revisits the problem of Bayesian shape-restricted inference in the light of a recently developed approximate Gaussian process that admits an equivalent formulation of…
Shape-Constrained Univariate Density Estimation
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1
While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…
Variable Selection Using Shrinkage Priors
Hanning Li, Debdeep Pati
Variable selection has received widespread attention over the last decade as we routinely encounter high-throughput datasets in complex biological and environment research. Most Ba…