7 citations · 19 across the 8 of their papers we have counts for
9 papers
The Importance of Discussing Assumptions when Teaching Bootstrapping
Njesa Totty, James Molyneux, Claudio Fuentes
Bootstrapping and other resampling methods are increasingly appearing in the textbooks and curricula of courses that introduce undergraduate students to statistical methods. In ord…
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems
Arpan Biswas, Claudio Fuentes, Christopher Hoyle
We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization framework where we build a regression model selection procedure from an ensemble of models, towards b…
A Linear Mixed Model Formulation for Spatio-Temporal Random Processes with Computational Advances for the Separable and Product-Sum Covariances
Michael Dumelle, Jay M. Ver Hoef, Claudio Fuentes +1
We describe spatio-temporal random processes using linear mixed models. We show how many commonly used models can be viewed as special cases of this general framework and pay close…
A Bayesian Nonparametric Model for Predicting Pregnancy Outcomes Using Longitudinal Profiles
Jeremy T. Gaskins, Claudio Fuentes, Rolando De la Cruz
Across several medical fields, developing an approach for disease classification is an important challenge. The usual procedure is to fit a model for the longitudinal response in t…
A Constrained Conditional Likelihood Approach for Estimating the Means of Selected Populations
Claudio Fuentes, Vik Gopal
Given p independent normal populations, we consider the problem of estimating the mean of those populations, that based on the observed data, give the strongest signals. We explici…
Bayesian Estimation of Negative Binomial Parameters with Applications to RNA-Seq Data
Luis Leon-Novelo, Claudio Fuentes, Sarah Emerson
RNA-Seq data characteristically exhibits large variances, which need to be appropriately accounted for in the model. We first explore the effects of this variability on the maximum…
The matryoshka doll prior: principled multiplicity correction in Bayesian model comparison
Andrew J Womack, Daniel Taylor-Rodriguez, Claudio Fuentes
This paper introduces a general and principled construction of model space priors with a focus on regression problems. The proposed formulation regards each model as a `local` null…
Intrinsic Bayesian Analysis for Occupancy Models
Daniel Taylor-Rodriguez, Andrew Womack, Claudio Fuentes +1
Occupancy models are typically used to determine the probability of a species being present at a given site while accounting for imperfect detection. The survey data underlying the…
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang
Claudio Fuentes, George Casella
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang [arXiv:1108.3234]