activity
20162026
most citedAdvances in Bayesian Modeling: Applications and Methods

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ME2026

On the sensitivity to hyperparameters of a Bayesian method to infer selection signatures

Carlos A. Martinez, Ronnal E. Ortiz, Nelson A. Cruz +2

Motivated by a real-life problem, namely, inferring genomic regions affected by selection, we studied some properties of a two-step method that performs this task based on the FST.…

stat.ME2025

Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis

Juan Sosa, Carlo Martínez

Bayesian sociality models provide a scalable and flexible alternative for network analysis, capturing degree heterogeneity through actor-specific parameters while mitigating the id…

stat.AP2025

Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps

Yifei Yan, Juan Sosa, Carlos Martínez

This analysis derives the maximum likelihood estimator and applies Bayesian inference to model geometric Brownian motion, incorporating jump diffusion to account for sudden market…

stat.AP2025★ 1 cited

Advances in Bayesian Modeling: Applications and Methods

Yifei Yan, Juan Sosa, Carlos A. Martínez

This paper explores the versatility and depth of Bayesian modeling by presenting a comprehensive range of applications and methods, combining Markov chain Monte Carlo (MCMC) techni…

q-bio.QM2017

Inferring the Partial Correlation Structure of Allelic Effects and Incorporating it in Genome-wide Prediction

Carlos A. Martínez, Kshitij Khare, Syed Rahman +1

In this study, we addressed the problem of genome-wide prediction accounting for partial correlation of marker effects when the partial correlation structure, or equivalently, the…

q-bio.QM2017

BIBI: Bayesian Inference of Breed Composition

Carlos Alberto Martínez, Kshitij Khare, Mauricio A. Elzo

The aim of this paper was to develop statistical models to estimate individual breed composition based on the previously proposed idea of regressing discrete random variables corre…