activity
20162026
most citedThe power of two: Assessing the impact of a second measurement of the weak-charge form factor of 208Pb

56 citations · 71 across the 19 of their papers we have counts for

collaborators

20 papers

stat.ME2026

Conditional Distribution Estimation for Functional Responses with Random Forests

Poorbita Kundu, Antonio R. Linero

Many functional data analyses reduce random functions to scalar summaries or conditional mean curves. This is limiting when we wish to understand how covariates affect the distribu…

math.ST2026

A Simple Example of Bayesian Nonparametric Inconsistency

Antonio R. Linero

I present a very simple example in which a full-support prior over distribution functions has an inconsistent posterior, which I believe has instructive value. The example is $Y_i…

stat.ME2025

Defensive Model Expansion for Robust Bayesian Inference

Antonio R. Linero

Some applied researchers hesitate to use nonparametric methods, worrying that they will lose power in small samples or overfit the data when simpler models are sufficient. We argue…

stat.ME2025

Decision Theoretic Subgroup Detection With Bayesian Machine Learning

Entejar Alam, Poorbita Kundu, Antonio R. Linero

We consider the problem of identifying promising subpopulations in terms of treatment effectiveness or treatment effect heterogeneity, from a Bayesian decision theoretic perspectiv…

stat.ME2025

A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link

Entejar Alam, Antonio R. Linero

In this work, we develop applications of the complementary log-log (cloglog) link to problems in Bayesian nonparametrics. Although less commonly used than the probit or logit links…

stat.AP2024

Relative Survival Analysis Using Bayesian Decision Tree Ensembles

Piyali Basak, Antonio R. Linero, Camille Maringe +1

In cancer epidemiology, the \emph{relative survival framework} is used to quantify the hazard associated with cancer by comparing the all-cause mortality hazard in cancer patients…