Methodological likelihoodism is the view that it is possible to provide an adequate self-contained methodology for science on the basis of likelihood functions alone. I argue that methodological likelihoodism is false by arguing that an adequate self-contained methodology for science provides good norms of commitment vis-a-vis hypotheses, articulating minimal requirements for a norm of this kind, and proving that no purely likelihood-based norm satisfies those requirements
Bayesian inference is limited in scope because it cannot be applied in idealized contexts where none...
Bayesianism and likelihoodism are two of the most important frameworks philosophers of science use t...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
Methodological likelihoodism is the view that it is possible to provide an adequate self-contained m...
The notion of evidence is of great importance, but there are substantial disagreements about how it ...
Frequentist statistical methods continue to predominate in many areas of science despite prominent c...
The Likelihood Theory of Evidence (LTE) says, roughly, that all the information relevant to the bear...
Evidence is an objective matter. This is the prevailing view within science, and confirmation theory...
The likelihood principle (LP) is typically understood as a constraint on any measure of evidence ari...
We defend a new theory of statistical evidence, which we call Robust Bayesianism (RB). We prove that...
Two common and plausible claims in the philosophy of science are that (i) a theory that makes no pre...
In this paper, I show how one might resist two influential arguments for the Likelihood Principle by...
Evidential value is measured by a likelihood ratio. This ratio has two components, the probability, ...
ABSTRACT: The Likelihood Theory of Evidence (LTE) says, roughly, that only likelihoods matter to the...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
Bayesian inference is limited in scope because it cannot be applied in idealized contexts where none...
Bayesianism and likelihoodism are two of the most important frameworks philosophers of science use t...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
Methodological likelihoodism is the view that it is possible to provide an adequate self-contained m...
The notion of evidence is of great importance, but there are substantial disagreements about how it ...
Frequentist statistical methods continue to predominate in many areas of science despite prominent c...
The Likelihood Theory of Evidence (LTE) says, roughly, that all the information relevant to the bear...
Evidence is an objective matter. This is the prevailing view within science, and confirmation theory...
The likelihood principle (LP) is typically understood as a constraint on any measure of evidence ari...
We defend a new theory of statistical evidence, which we call Robust Bayesianism (RB). We prove that...
Two common and plausible claims in the philosophy of science are that (i) a theory that makes no pre...
In this paper, I show how one might resist two influential arguments for the Likelihood Principle by...
Evidential value is measured by a likelihood ratio. This ratio has two components, the probability, ...
ABSTRACT: The Likelihood Theory of Evidence (LTE) says, roughly, that only likelihoods matter to the...
Forster presented some interesting examples having to do with distinguishing the direction of causal...
Bayesian inference is limited in scope because it cannot be applied in idealized contexts where none...
Bayesianism and likelihoodism are two of the most important frameworks philosophers of science use t...
Forster presented some interesting examples having to do with distinguishing the direction of causal...