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Model Identification from Many Candidates

Mark L. Taper

in The Nature of Scientific Evidence: Statistical, Philosophical, and Empirical Considerations

Published in print:
2004
Published Online:
February 2013
ISBN:
9780226789552
eISBN:
9780226789583
Item type:
chapter
Publisher:
University of Chicago Press
DOI:
10.7208/chicago/9780226789583.003.0015
Subject:
Biology, Ecology

Model identification is a necessary component of modern science. Model misspecification is a major, if not the dominant, source of error in the quantification of most scientific evidence. Hypothesis ... More


Why Likelihood?

Malcolm Forster and Elliott Sober

in The Nature of Scientific Evidence: Statistical, Philosophical, and Empirical Considerations

Published in print:
2004
Published Online:
February 2013
ISBN:
9780226789552
eISBN:
9780226789583
Item type:
chapter
Publisher:
University of Chicago Press
DOI:
10.7208/chicago/9780226789583.003.0006
Subject:
Biology, Ecology

The likelihood principle has been defended on Bayesian grounds, with proponents insisting that it coincides with and systematizes intuitive judgments about example problems, and that it generalizes ... More


. Comparisons of Autometrics with Other Approaches

David F. Hendry

in Empirical Model Discovery and Theory Evaluation: Automatic Selection Methods in Econometrics

Published in print:
2014
Published Online:
January 2015
ISBN:
9780262028356
eISBN:
9780262324410
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262028356.003.0017
Subject:
Economics and Finance, Econometrics

There are many possible methods of model selection, most of which can be implemented in an automatic algorithm. General contenders include single path approaches such as forward and backward ... More


Generalized Linear Mixed-Effects Models

Andy Hector

in The New Statistics with R: An Introduction for Biologists

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.003.0011
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Generalized linear mixed-effects models (GLMMs) are introduced as a combination of the mixed-effects models and GLMs met in earlier chapters. The additional challenges of the analysis are explored ... More


Model Selection

Masashi Sugiyama and Motoaki Kawanabe

in Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

Published in print:
2012
Published Online:
September 2013
ISBN:
9780262017091
eISBN:
9780262301220
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262017091.003.0003
Subject:
Computer Science, Machine Learning

This chapter addresses the problem of model selection. The success of machine learning techniques depends heavily on the choice of hyperparameters such as basis functions, the kernel bandwidth, the ... More


Maximum likelihood methods

Ziheng Yang

in Molecular Evolution: A Statistical Approach

Published in print:
2014
Published Online:
August 2014
ISBN:
9780199602605
eISBN:
9780191782251
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199602605.003.0004
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Evolutionary Biology / Genetics

This chapter describes the pruning algorithm for calculating the likelihood on a tree, as well as extensions under complex substitution models, including the gamma and covarion models of rate ... More


How can we measure awareness? An overview of current methods

Bert Timmermans and Axel Cleeremans

in Behavioral Methods in Consciousness Research

Published in print:
2015
Published Online:
June 2015
ISBN:
9780199688890
eISBN:
9780191801785
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199688890.003.0003
Subject:
Psychology, Cognitive Psychology, Developmental Psychology

The study of consciousness requires a solution to the following fundamental problem: How can we measure consciousness? While there has been substantial progress in measuring the level of awareness, ... More


Simplicity and Model Selection

Jan Sprenger and Stephan Hartmann

in Bayesian Philosophy of Science

Published in print:
2019
Published Online:
October 2019
ISBN:
9780199672110
eISBN:
9780191881671
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780199672110.003.0010
Subject:
Philosophy, Philosophy of Science

Is simplicity a virtue of a good scientific theory, and are simpler theories more likely to be true or predictively successful? If so, how much should simplicity count vis-à-vis predictive accuracy? ... More


The New Statistics with R: An Introduction for Biologists

Andy Hector

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.001.0001
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an ... More


The Survivor Problem Continued: Introduction to Bayesian Model Selection

Therese M. Donovan and Ruth M. Mickey

in Bayesian Statistics for Beginners: a step-by-step approach

Published in print:
2019
Published Online:
July 2019
ISBN:
9780198841296
eISBN:
9780191876820
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198841296.003.0018
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

This chapter provides a very brief introduction to Bayesian model selection. The “Survivor Problem” is expanded in this chapter, where the focus is now on comparing two models that predict how long a ... More


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