Bayesian testing of a point null hypothesis is considered. The null hypothesisis that an observation, x, is distributed according to the normal distribution with a mean ofzero and known variance q2. The alternative hypothesis is that x is distributed accordingto a normal distribution with an unknown nonzero mean, μ, and variance q2. The testingproblem is formulated as a prediction problem. Bayesian testing based on priors constructedby using conditional mutual information is investigated
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
The mutual information of two random variables ı and with joint probabilities {πij} is commonly us...
. The problem of hypothesis testing is examined from both the historical and the Bayesian points of...
In this article we describe Bayesian nonparametric procedures for two-sample hypothesis testing. Nam...
In hypothesis testing, the conclusions from Bayesian and Frequentist approaches can differ markedly,...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
textabstractWe propose a novel Bayesian test under a (noninformative) Jeffreys' prior specification....
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
One of the oldest problems in statistical area is to make inference on a common mean of several diff...
Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature show...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
The posterior density ratio sup[theta][epsilon]Ho [pi]([theta]data)/sup[theta][epsilon]H1 [pi]([thet...
Bayes Law, or the law of conditional probability, provides a natural inference framework for one who...
A new approach to testing statistical hypothesis is con-sidered in this paper. The main departure fr...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
The mutual information of two random variables ı and with joint probabilities {πij} is commonly us...
. The problem of hypothesis testing is examined from both the historical and the Bayesian points of...
In this article we describe Bayesian nonparametric procedures for two-sample hypothesis testing. Nam...
In hypothesis testing, the conclusions from Bayesian and Frequentist approaches can differ markedly,...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
textabstractWe propose a novel Bayesian test under a (noninformative) Jeffreys' prior specification....
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
One of the oldest problems in statistical area is to make inference on a common mean of several diff...
Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature show...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
The posterior density ratio sup[theta][epsilon]Ho [pi]([theta]data)/sup[theta][epsilon]H1 [pi]([thet...
Bayes Law, or the law of conditional probability, provides a natural inference framework for one who...
A new approach to testing statistical hypothesis is con-sidered in this paper. The main departure fr...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
The mutual information of two random variables ı and with joint probabilities {πij} is commonly us...
. The problem of hypothesis testing is examined from both the historical and the Bayesian points of...