Add to ORKG[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];具代表性[[note]]http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=0960-3174&DestApp=JCR&RQ=IF_CAT_BOXPLO
This paper proposes and discusses the use of composite marginal likelihoods for Bayesian inference. ...
This paper proposes and discusses the use of composite marginal like- lihoods for Bayesian inference...
http://deepblue.lib.umich.edu/bitstream/2027.42/35832/2/b2039114.0001.001.pdfhttp://deepblue.lib.umi...
[[abstract]]Computing marginal probabilities is an important and fundamental issue in Bayesian infer...
Computing marginal probabilities is an important and fundamental issue in Bayesian inference. We pre...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
<p>The likelihood function is depicted for the parameter <i>y</i>. The solid curve represents the ma...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
貝氏因子(Bayes factor) 是貝氏統計方法中對於推論假設檢定(hypothesis testing)所用的一個 統計量。它的定義可以表成兩個資料的邊際機率(marginal probabil...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
用贝叶斯方法解决圆相邻角已知的情况下的参数估计,并得出圆半径的后验分布和置信区间 .国家自然科学基金; 高等学校博士学科点专项科研项目中文核心期刊要目总览(PKU)中国科学引文数据库(CSCD)056...
In a Bayesian analysis, different models can be compared on the basis of theexpected or marginal lik...
How do we compare between hypotheses that are entirely consistent with observations? The marginal li...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This paper proposes and discusses the use of composite marginal likelihoods for Bayesian inference. ...
This paper proposes and discusses the use of composite marginal like- lihoods for Bayesian inference...
http://deepblue.lib.umich.edu/bitstream/2027.42/35832/2/b2039114.0001.001.pdfhttp://deepblue.lib.umi...
[[abstract]]Computing marginal probabilities is an important and fundamental issue in Bayesian infer...
Computing marginal probabilities is an important and fundamental issue in Bayesian inference. We pre...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
<p>The likelihood function is depicted for the parameter <i>y</i>. The solid curve represents the ma...
Fitting parameters of interest in an elegant and efficient way via analysis of experimental data is ...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
貝氏因子(Bayes factor) 是貝氏統計方法中對於推論假設檢定(hypothesis testing)所用的一個 統計量。它的定義可以表成兩個資料的邊際機率(marginal probabil...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
用贝叶斯方法解决圆相邻角已知的情况下的参数估计,并得出圆半径的后验分布和置信区间 .国家自然科学基金; 高等学校博士学科点专项科研项目中文核心期刊要目总览(PKU)中国科学引文数据库(CSCD)056...
In a Bayesian analysis, different models can be compared on the basis of theexpected or marginal lik...
How do we compare between hypotheses that are entirely consistent with observations? The marginal li...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This paper proposes and discusses the use of composite marginal likelihoods for Bayesian inference. ...
This paper proposes and discusses the use of composite marginal like- lihoods for Bayesian inference...
http://deepblue.lib.umich.edu/bitstream/2027.42/35832/2/b2039114.0001.001.pdfhttp://deepblue.lib.umi...