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01/18/2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Directed acyclic graphs (DAGs) are commonly used in statistics as models...
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05/23/2021
Robust Bayesian Nonparametric Variable Selection for Linear Regression
Spike-and-slab and horseshoe regression are arguably the most popular Ba...
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09/23/2020
An Information Theoretic approach to Post Randomization Methods under Differential Privacy
Post Randomization Methods (PRAM) are among the most popular disclosure ...
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02/27/2019
Consistent estimation of the missing mass for feature models
Feature models are popular in machine learning and they have been recent...
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02/27/2019
A Good-Turing estimator for feature allocation models
Feature allocation models generalize species sampling models by allowing...
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06/25/2018
On consistent estimation of the missing mass
Given n samples from a population of individuals belonging to different ...
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07/07/2016