I agree with Rob Kass’ point that we can and should make use of statistical methods developed under different philosophies, and I am happy to take the opportunity to elaborate on some of his arguments
Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. Yet, it i...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
Something has become increasingly apparent in both my academic work as well politics and the media: ...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Scientists and Bayesian statisticians often study hypotheses that they know to be false. This create...
What (if anything) justifies the use of Bayesian statistics in science? The traditional answer is t...
Medical research makes intensive use of statistics in order to support its claims. In this paper we ...
It is shown that all the Frequentist methods are equivalent from astatistical point of view, but the...
Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. Yet, it i...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
Something has become increasingly apparent in both my academic work as well politics and the media: ...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Scientists and Bayesian statisticians often study hypotheses that they know to be false. This create...
What (if anything) justifies the use of Bayesian statistics in science? The traditional answer is t...
Medical research makes intensive use of statistics in order to support its claims. In this paper we ...
It is shown that all the Frequentist methods are equivalent from astatistical point of view, but the...
Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. Yet, it i...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
DOI
Add to ORKG