Add to ORKGAbstract: We discuss Birnbaums result, its relevance to statistical reasoning, Mayos objections and the result in Evans (2013) that the proof of this result doesnt establish what is commonly believed
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
A comparison is made of the two concepts, generalized likelihood (from Bjørnstad, 1996) and Royall's...
ABSTRACT: The Likelihood Theory of Evidence (LTE) says, roughly, that only likelihoods matter to the...
Two points have been raised about the Likelihood Principle (LP). The first relates to the definition...
Birnbaum's theorem, that the sufficiency and conditionality principles entail the likelihood princip...
(i) Statistical inference after Neyman-Pearson. Statistical inference as an alternative to Neyman-Pe...
The notion of evidence is of great importance, but there are substantial disagreements about how it ...
We defend a new theory of statistical evidence, which we call Robust Bayesianism (RB). We prove that...
The Likelihood Theory of Evidence (LTE) says, roughly, that all the information relevant to the bear...
In his paper “To Criticize the Critics” (1991), Peter Phillips discusses Bayesian methodology for ti...
The Birnbaum-Saunders regression model is commonly used in reliability studies. We address the issue...
In this paper, I show how one might resist two influential arguments for the Likelihood Principle by...
Peter Achinstein has argued at length and on many occasions that the view according to which evident...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
The likelihood principle (LP) is typically understood as a constraint on any measure of evidence ari...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
A comparison is made of the two concepts, generalized likelihood (from Bjørnstad, 1996) and Royall's...
ABSTRACT: The Likelihood Theory of Evidence (LTE) says, roughly, that only likelihoods matter to the...
Two points have been raised about the Likelihood Principle (LP). The first relates to the definition...
Birnbaum's theorem, that the sufficiency and conditionality principles entail the likelihood princip...
(i) Statistical inference after Neyman-Pearson. Statistical inference as an alternative to Neyman-Pe...
The notion of evidence is of great importance, but there are substantial disagreements about how it ...
We defend a new theory of statistical evidence, which we call Robust Bayesianism (RB). We prove that...
The Likelihood Theory of Evidence (LTE) says, roughly, that all the information relevant to the bear...
In his paper “To Criticize the Critics” (1991), Peter Phillips discusses Bayesian methodology for ti...
The Birnbaum-Saunders regression model is commonly used in reliability studies. We address the issue...
In this paper, I show how one might resist two influential arguments for the Likelihood Principle by...
Peter Achinstein has argued at length and on many occasions that the view according to which evident...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
The likelihood principle (LP) is typically understood as a constraint on any measure of evidence ari...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
A comparison is made of the two concepts, generalized likelihood (from Bjørnstad, 1996) and Royall's...
ABSTRACT: The Likelihood Theory of Evidence (LTE) says, roughly, that only likelihoods matter to the...