Bridging the gap between deterministic and probabilistic uncertainty quantification using advanced proxy based methods
N Goodwin - SPE Reservoir Simulation Conference?, 2015 - onepetro.org
The use of proxy models for optimisation of expensive functions has demonstrated its value
since the 1990's in many industries. Within reservoir engineering, similar techniques have …
since the 1990's in many industries. Within reservoir engineering, similar techniques have …
A penalized likelihood estimation approach to semiparametric sample selection binary response modeling
Sample selection models are employed when an outcome of interest is observed for a
restricted non-randomly selected sample of the population. We consider the case in which …
restricted non-randomly selected sample of the population. We consider the case in which …
ROC curves and nonrandom data
JA Cook - Pattern Recognition Letters, 2017 - Elsevier
This paper shows that when a classifier is evaluated with nonrandom test data, ROC curves
differ from the ROC curves that would be obtained with a random sample. To address this …
differ from the ROC curves that would be obtained with a random sample. To address this …
Spatial extended hazard model with application to prostate cancer survival
This article develops a Bayesian semiparametric approach to the extended hazard model,
with generalization to high‐dimensional spatially grouped data. County‐level spatial …
with generalization to high‐dimensional spatially grouped data. County‐level spatial …
Utilización y tiempos de espera: dos vertientes inseparables del análisis de la equidad en el acceso al sistema sanitario público
I Abásolo Alessón… - Hacienda pública …, 2014 - accedacris.ulpgc.es
El objetivo de esta investigación consiste en analizar si existe equidad en el acceso a los
servicios sanitarios públicos por niveles socioeconómicos. se analiza conjuntamente la …
servicios sanitarios públicos por niveles socioeconómicos. se analiza conjuntamente la …
Bayesian inference in a sample selection model with multiple selection rules
Sample selection model is a solution to eliminate the nonresponse bias. In some
applications nonresponse is a multilevel variable with respect to its reasons of occurring. In …
applications nonresponse is a multilevel variable with respect to its reasons of occurring. In …
[HTML][HTML] Estimation of multivariate sample selection models via a parameter-expanded Monte Carlo EM algorithm
P Li - Open Journal of Statistics, 2014 - scirp.org
This paper develops a parameter-expanded Monte Carlo EM (PX-MCEM) algorithm to
perform maximum likelihood estimation in a multivariate sample selection model. In contrast …
perform maximum likelihood estimation in a multivariate sample selection model. In contrast …
Applications of Bayesian nonparametrics to reliability and survival data
L Li - 2014 - search.proquest.com
Reliability and survival data are widely encountered across many common settings.
Subjects under investigation often include machines, bioassays, patients, etc.; their reliability …
Subjects under investigation often include machines, bioassays, patients, etc.; their reliability …