Similar Search Results

Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin

Gelman, Andrew; Robert, Christian P.; Rousseau, Judith - In: Statistics & Risk Modeling 30 (2013) 2, pp. 105-120

Abstract For many decades, statisticians have made attempts to prepare the Bayesian omelette without breaking the Bayesian eggs; that is, to obtain probabilistic likelihood-based inferences without relying on informative prior distributions. A recent example is Murray Aitkin´s recent book,...

Persistent link: https://www.econbiz.de/10014622233

The Renegade Subjectivist: Jose Bernardo's Objective Bayesianism

Sprenger, Jan - In: Rationality, Markets and Morals 3 (2012) 1

This article motivates and discusses JosE Bernardo's attempt to reconcile the subjective Bayesian framework with a need for objective scientific inference, leading to a special kind of objective Bayesianism, namely reference Bayesianism. We elucidate principal ideas and foundational implications...

Persistent link: https://www.econbiz.de/10010535641

Confirmation : what's in the evidence?

Kataria, Mitesh - 2013

In this paper, I discuss the difference between accommodated evidence (i.e. when evidence is known first and a … hypothesis is the proposed to explain and fit the observations) and predicted evidence (i.e., when evidence verifies the … prediction of a hypothesis formulated before observing the evidence) from a behavioral as well as a statistical perspective …

Persistent link: https://www.econbiz.de/10009784054

A subjective evidence model for influence maximization in social networks

Samadi, Mohammadreza; Nikolaev, Alexander; Nagi, Rakesh - In: Omega : the international journal of management science 59 (2016), pp. 263-278

Persistent link: https://www.econbiz.de/10011439805

Confirmation: What's in the evidence?

Kataria, Mitesh - In: Journal of behavioral and experimental economics 65 (2016), pp. 9-15

Persistent link: https://www.econbiz.de/10011640499

On the Relevance of the Bayesian Approach to Statistics

Robert, Christian P. - In: Review of Economic Analysis 2 (2010) 2, pp. 139-152

In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. My main theme is that Bayesian data analysis is an effective tool for handling complex models, as proven by the increasing proportion of Bayesian studies in the applied...

Persistent link: https://www.econbiz.de/10008683492

On Bayesian Data Analysis

Rousseau, Judith; Robert, Christian P. - Université Paris-Dauphine (Paris IX) - 2010

This introduction to Bayesian statistics presents the main concepts as well as the principal reasons advocated in favour of a Bayesian modelling. We cover the various approaches to prior determination as well as the basis asymptotic arguments in favour of using Bayes estimators. The testing...

Persistent link: https://www.econbiz.de/10010708281

Revisiting the omitted variables argument: Substantive vs. statistical adequacy

Spanos, Aris - In: Journal of Economic Methodology 13 (2006) 2, pp. 179-218

The problem of omitted variables is commonly viewed as a statistical misspecification issue which renders the inference concerning the influence of X t on yt unreliable, due to the exclusion of certain relevant factors W t . That is, omitting certain potentially important factors W t may...

Persistent link: https://www.econbiz.de/10005282282

How Can We Cultivate Senn's Abilirty

Mayo, Deborah - In: Rationality, Markets and Morals 3 (2012) 2

Persistent link: https://www.econbiz.de/10010535645

Statistical Science and Philosophy of Science: Whrer Do / Should They Meet in 2011 (and Beyond)?

Mayo, Deborah - In: Rationality, Markets and Morals 2 (2011) 10

Persistent link: https://www.econbiz.de/10009318953