Add to ORKGThese are written comments about the Read Paper A Bayesian criterion for singular models by M. Drton and M. Plummer, read to the Royal Statistical Society on October 5, 2016. The discussion was delivered by Judith Rousseau
This is a comment on the recent paper by Ratmann, Andrieu, Wiuf, and Richardson (PNAS, 106), submitt...
We thoroughly enjoyed reading this paper and are delighted to contribute to its discussion. The auth...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
The BIC can be viewed as an easily computable proxy to fully Bayesian model choice, which is conduct...
We consider approximate Bayesian model choice for model selection problems that involve models whose...
We congratulate the authors on a magnificent paper, providing a nicely paced introduction to Markov ...
7 pages, 4 figuresThis is the compilation of our comments submitted to the Journal of the Royal Stat...
This note is a discussion of the article “Bayesian model selection based on proper scoring rules” b...
In this response to Stern’s (2005) discussion of Klugkist, Laudy, and Hoijtink (2005), model infere...
This is an invited discussion of "Bayesian measures of model complexity and fit" by D. Spiegelhalter...
The author should be commended for his outstanding contribution to the literature on Bayesian regres...
Modern statistical software and machine learning libraries are enabling semi-automated statistical i...
Wills and Pothos (2012) reviewed approaches to evaluating formal models of categorization, raising a...
In a recent article Canova et al. (2014) study the optimal choice of variables to use in the estimat...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This is a comment on the recent paper by Ratmann, Andrieu, Wiuf, and Richardson (PNAS, 106), submitt...
We thoroughly enjoyed reading this paper and are delighted to contribute to its discussion. The auth...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...
The BIC can be viewed as an easily computable proxy to fully Bayesian model choice, which is conduct...
We consider approximate Bayesian model choice for model selection problems that involve models whose...
We congratulate the authors on a magnificent paper, providing a nicely paced introduction to Markov ...
7 pages, 4 figuresThis is the compilation of our comments submitted to the Journal of the Royal Stat...
This note is a discussion of the article “Bayesian model selection based on proper scoring rules” b...
In this response to Stern’s (2005) discussion of Klugkist, Laudy, and Hoijtink (2005), model infere...
This is an invited discussion of "Bayesian measures of model complexity and fit" by D. Spiegelhalter...
The author should be commended for his outstanding contribution to the literature on Bayesian regres...
Modern statistical software and machine learning libraries are enabling semi-automated statistical i...
Wills and Pothos (2012) reviewed approaches to evaluating formal models of categorization, raising a...
In a recent article Canova et al. (2014) study the optimal choice of variables to use in the estimat...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
This is a comment on the recent paper by Ratmann, Andrieu, Wiuf, and Richardson (PNAS, 106), submitt...
We thoroughly enjoyed reading this paper and are delighted to contribute to its discussion. The auth...
A substantial school in the philosophy of science identifies Bayesian inference with inductive infer...