Why is there no consensual way of conducting Bayesian analyses? We present a summary of agreements and disagreements of the authors on several discussion points regarding Bayesian inference. We also provide a thinking guideline to assist researchers in conducting Bayesian inference in the social and behavioural sciences
Bayesians and non-Bayesians, often called frequentists, seem to be perpetually at loggerheads on fun...
AbstractBayesian and non-Bayesian approaches to statistical inference and decision-making are discus...
Judgements in the real-world often inherently involve uncertainty, from the mundane: "do those cloud...
Why is there no consensual way of conducting Bayesian analyses? We present a summary of agreements a...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
The Bayesian approach to probability and statistics is described, a brief history of Bayesianism is ...
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 ...
Bayesian analysis has emerged as a rapidly expanding frontier in qualitative methods. Recent work in...
In this thesis we present a review of the Bayesian approach to Statistical Inference. In Chapter One...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
In September 2017, I attended 'Bayesian Data Analysis in the Social Sciences Curriculum', a one-day ...
. This paper is an attempt to reconcile Bayesian and non-Bayesian approaches to statistical inferenc...
Bayesians and non-Bayesians, often called frequentists, seem to be perpetually at loggerheads on fun...
AbstractBayesian and non-Bayesian approaches to statistical inference and decision-making are discus...
Judgements in the real-world often inherently involve uncertainty, from the mundane: "do those cloud...
Why is there no consensual way of conducting Bayesian analyses? We present a summary of agreements a...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
The Bayesian approach to probability and statistics is described, a brief history of Bayesianism is ...
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 ...
Bayesian analysis has emerged as a rapidly expanding frontier in qualitative methods. Recent work in...
In this thesis we present a review of the Bayesian approach to Statistical Inference. In Chapter One...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
In September 2017, I attended 'Bayesian Data Analysis in the Social Sciences Curriculum', a one-day ...
. This paper is an attempt to reconcile Bayesian and non-Bayesian approaches to statistical inferenc...
Bayesians and non-Bayesians, often called frequentists, seem to be perpetually at loggerheads on fun...
AbstractBayesian and non-Bayesian approaches to statistical inference and decision-making are discus...
Judgements in the real-world often inherently involve uncertainty, from the mundane: "do those cloud...