搜索结果: 1-7 共查到“理论统计学 Bayesian model”相关记录7条 . 查询时间(0.14 秒)
Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
Bayesian model averaging continuous ranked probability score ensemble calibration truncated normal distribution
2013/6/13
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction models, in order to ...
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Prognostic Modeling Risk Prediction
2013/4/27
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new and attractive applica...
Criteria for Bayesian model choice with application to variable selection
Model selection variable selection objective Bayes.
2012/11/23
In objective Bayesian model selection, no single criterion has emerged as dominant in defining objective prior distributions. Indeed, many criteria have been separately proposed and utilized to propos...
Criteria for Bayesian model choice with application to variable selection
Model selection variable selection objective Bayes.
2012/11/23
In objective Bayesian model selection, no single criterion has emerged as dominant in defining objective prior distributions. Indeed, many criteria have been separately proposed and utilized to propos...
Evolutionary Stochastic Search for Bayesian model exploration
Evolutionary Monte Carlo Fast Scan Metropolis-Hastings schemes Linear Gaussian regressionmodels Variable selection
2010/3/10
Implementing Bayesian variable selection for linear Gaussian regression models for analysing
high dimensional data sets is of current interest in many fields. In order to make such analysis operation...
Bayesian Model Diagnostics Based on Artificial Autoregressive Errors
Allometry Asymptotic normality Autocorrelation Hierarchical models Response times
2009/9/22
In this article I develop a simple and eective device for ascertaining the quality
of the modeling choices and detecting lack-of-fit. I specify an articial autoregres-
sive structure (AAR) in the pr...
Bayesian Model Assessment Using Pivotal Quantities
prior-predictive density posterior-predictive density Bayesian model diagnostics Bayesian chi-squared test
2009/9/22
Suppose that S(Y) is a function of data Y and a model parameter,
and suppose that the sampling distribution of S(Y) is invariant when evaluated
at , the true (i.e., data-generating) value of. Then S...
