Add to ORKGSomething has become increasingly apparent in both my academic work as well politics and the media: the importance of methodology. Fundamentally, both empirical work and policy must be pragmatic
The practical advantages of Bayesian inference are demonstrated here through two concrete examples. ...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
In response to the proposal that cognitive phenomena might be best understood in terms of cognitive ...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
Judgements in the real-world often inherently involve uncertainty, from the mundane: "do those cloud...
Qualitative knowledge is about types of things, and their excellences. There are many ways we humans...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Bayes’ rule shows how one might rationally change one’s beliefs in the light of evidence. It is the...
A generally Bayesian attitude toward statistical inference seems to me so obviously superior to the ...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
We advance efforts to explicate and improve inference in qualitative research that iterates between ...
Judgements in the real-world often inher-ently involve uncertainty, from the mun-dane: “do those clo...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
The practical advantages of Bayesian inference are demonstrated here through two concrete examples. ...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
In response to the proposal that cognitive phenomena might be best understood in terms of cognitive ...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
Judgements in the real-world often inherently involve uncertainty, from the mundane: "do those cloud...
Qualitative knowledge is about types of things, and their excellences. There are many ways we humans...
Unlike most other statistical frameworks, Bayesian statistical inference is wedded to a particular a...
Bayes’ rule shows how one might rationally change one’s beliefs in the light of evidence. It is the...
A generally Bayesian attitude toward statistical inference seems to me so obviously superior to the ...
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neut...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
We advance efforts to explicate and improve inference in qualitative research that iterates between ...
Judgements in the real-world often inher-ently involve uncertainty, from the mun-dane: “do those clo...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
The practical advantages of Bayesian inference are demonstrated here through two concrete examples. ...
Bayesian methodology differs from traditional statistical methodology which involves frequentist app...
In response to the proposal that cognitive phenomena might be best understood in terms of cognitive ...