In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesian ideas underlying model selection, which serve as an introduction to the rest of this special issue on ‘All models are wrong...’, a workshop under the same name was held in March 2011 in Groningen to critically examined the field of statistical model selection methods over the past 40 years. We briefly introduce the philosophical debate that is concerned with model selection. We present the results of a questionnaire that was distributed under the participants of the workshop, showing that the field has not yet reached a comforting consensus and is still in full swing
In the era of big data, analysts usually explore various statistical models or machine-learning meth...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty.We review the frequentist and Bayesia...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
Modern statistical software and machine learning libraries are enabling semi-automated statistical i...
The problem of model uncertainty versus model inaccuracy is examined in the light of the concept of ...
In this book problems related to the choice of models in such diverse fields as regression, covarian...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
We argue that model selection uncertainty should be fully incorporated into statistical inference wh...
In the era of big data, analysts usually explore various statistical models or machine-learning meth...
In the era of big data, analysts usually explore various statistical models or machine-learning meth...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty.We review the frequentist and Bayesia...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
In this article, we introduce the concept of model uncertainty. We review the frequentist and Bayesi...
Modern statistical software and machine learning libraries are enabling semi-automated statistical i...
The problem of model uncertainty versus model inaccuracy is examined in the light of the concept of ...
In this book problems related to the choice of models in such diverse fields as regression, covarian...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
We argue that model selection uncertainty should be fully incorporated into statistical inference wh...
In the era of big data, analysts usually explore various statistical models or machine-learning meth...
In the era of big data, analysts usually explore various statistical models or machine-learning meth...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...
This volume contains a collection of papers which were presented at the fourth Franco-Belgian Meetin...