Add to ORKGA solution to the problem of transferring the prior preferences about the paraIlleters of interest to the spaces defined by the hypotheses in test is proposed. We make use of surface (line) integrals to obtain tlus solution
For a two-sided hypothesis testing, it is known that there does not exist UMP tests. Uniformly most ...
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
Statistical hypothesis testing plays a central role in applied research to determine whether theorie...
The posterior density ratio sup[theta][epsilon]Ho [pi]([theta]data)/sup[theta][epsilon]H1 [pi]([thet...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
O problema de testar hipóteses sobre proporções marginais de uma tabela de contingência assume papel...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
The article focuses on the discussion of basic approaches to hypotheses testing, which are Fisher, J...
The complete final product of Bayesian inference is the posterior distribution of the quantity of in...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
We consider hypothesis testing problems with skewed alternatives via a Bayesian decision theoretic f...
In modern statistical and machine learning applications, there is an increasing need for developing ...
A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayes...
Hypothesis testing is formulated from a decision theoretical viewpoint. Thecombined use of intrinsic...
For a two-sided hypothesis testing, it is known that there does not exist UMP tests. Uniformly most ...
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
Statistical hypothesis testing plays a central role in applied research to determine whether theorie...
The posterior density ratio sup[theta][epsilon]Ho [pi]([theta]data)/sup[theta][epsilon]H1 [pi]([thet...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
O problema de testar hipóteses sobre proporções marginais de uma tabela de contingência assume papel...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
The article focuses on the discussion of basic approaches to hypotheses testing, which are Fisher, J...
The complete final product of Bayesian inference is the posterior distribution of the quantity of in...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
We consider hypothesis testing problems with skewed alternatives via a Bayesian decision theoretic f...
In modern statistical and machine learning applications, there is an increasing need for developing ...
A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayes...
Hypothesis testing is formulated from a decision theoretical viewpoint. Thecombined use of intrinsic...
For a two-sided hypothesis testing, it is known that there does not exist UMP tests. Uniformly most ...
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...