Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Pena, Edsel"'
This paper examines distributional properties and predictive performance of the estimated maximum agreement linear predictor (MALP) introduced in Bottai, Kim, Lieberman, Luta, and Pena (2022) paper in The American Statistician, which is the linear pr
Externí odkaz:
http://arxiv.org/abs/2304.04221
Consider a subject or unit in a longitudinal biomedical, public health, engineering, economic or social science study which is being monitored over a possibly random duration. Over time this unit experiences recurrent events of several types and a lo
Externí odkaz:
http://arxiv.org/abs/2103.12903
Autor:
Kim, Taeho, Pena, Edsel A.
Consider a statistical problem where a set of parameters are of interest to a researcher. Then multiple confidence intervals can be constructed to infer the set of parameters simultaneously. The constructed multiple confidence intervals are the reali
Externí odkaz:
http://arxiv.org/abs/1912.03756
Autor:
Pena, Edsel A.
This paper re-visits the problem of deciding between two simple hypotheses, the setting considered by Neyman and Pearson in developing their fundamental lemma. It studies the decision process induced by the most powerful test and the receiver operati
Externí odkaz:
http://arxiv.org/abs/1910.05486
Publikováno v:
Journal of International Logistics and Trade, 2022, Vol. 20, Issue 3, pp. 118-134.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JILT-05-2022-0003
Autor:
Pena, Edsel A., Kim, Taeho
Publikováno v:
Electronic Journal of Statistics, Vol 13, 2019, 2348-2390
The problem of constructing confidence regions for the median in the nonparametric measurement error model (NMEM) is considered. This problem arises in many settings, including inference about the median lifetime of a complex system arising in engine
Externí odkaz:
http://arxiv.org/abs/1811.04140
Ensemble of regression trees have become popular statistical tools for the estimation of conditional mean given a set of predictors. However, quantile regression trees and their ensembles have not yet garnered much attention despite the increasing po
Externí odkaz:
http://arxiv.org/abs/1607.02676
Publikováno v:
Journal of Risk Analysis, 2014
This paper describes several approaches for estimating the benchmark dose (BMD) in a risk assessment study with quantal dose-response data and when there are competing model classes for the dose-response function. Strategies involving a two-step appr
Externí odkaz:
http://arxiv.org/abs/1411.1015
Autor:
Pena, Edsel A.
Publikováno v:
Journal of Nonparametric Statistics, 2016
Asymptotic properties, both consistency and weak convergence, of estimators arising in a general class of dynamic recurrent event models are presented. The class of models take into account the impact of interventions after each event occurrence, the
Externí odkaz:
http://arxiv.org/abs/1410.8729
This article proposes Multinomial Probit Bayesian Additive Regression Trees (MPBART) as a multinomial probit extension of BART - Bayesian Additive Regression Trees (Chipman et al (2010)). MPBART is flexible to allow inclusion of predictors that descr
Externí odkaz:
http://arxiv.org/abs/1309.7821