3 papers
stat.ME2025
A Dependent Feature Allocation Model Based on Random Fields
Bernardo Flores, Yang Ni, Yanxun Xu +1
We introduce a flexible framework for modeling dependent feature allocations. Our approach addresses limitations in traditional nonparametric methods by directly modeling the logit…
math.ST2025
Posterior Consistency in Parametric Models via a Tighter Notion of Identifiability
Nicola Bariletto, Bernardo Flores, Stephen G. Walker
We study Bayesian posterior consistency in parametric density models with proper priors, challenging the perception that the problem is settled. Classical results established consi…
stat.CO2025
Predictive Coresets
Bernardo Flores
Modern data analysis often involves massive datasets with hundreds of thousands of observations, making traditional inference algorithms computationally prohibitive. Coresets are s…