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Reasonable and Basic Treatment Guidelines

Larry E. Beutler, John F. Clarkin, and Bruce Bongar

in Guidelines for the Systematic Treatment of the Depressed Patient

Published in print:
2000
Published Online:
March 2012
ISBN:
9780195105308
eISBN:
9780199848522
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195105308.003.0006
Subject:
Psychology, Clinical Psychology

This chapter defines basic treatment guidelines through a cross-validation of the tentative suggestions provided earlier. The cross-validation ... More


Debates and Controversies

David M. Day and Margit Wiesner

in Criminal Trajectories: A Developmental Perspective

Published in print:
2019
Published Online:
January 2020
ISBN:
9781479880058
eISBN:
9781479888276
Item type:
chapter
Publisher:
NYU Press
DOI:
10.18574/nyu/9781479880058.003.0004
Subject:
Psychology, Social Psychology

In spite of the tremendous growth in trajectory research over the past 25 years, the trajectory methodology is not without controversy. Debates and controversies remain a central feature of the ... More


Likelihood-Based Approaches to Modeling the Neural Code

Jonathan Pillow

in Bayesian Brain: Probabilistic Approaches to Neural Coding

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262042383
eISBN:
9780262294188
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262042383.003.0003
Subject:
Neuroscience, Disorders of the Nervous System

This chapter discusses likelihood-based approaches to building mathematical models of the neural code. It introduces probabilistic neural models such as the linear-non-linear-Poisson (LNP) model ... More


Bayesian Model Specification: Heuristics And Examples

david draper

in Bayesian Theory and Applications

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199695607
eISBN:
9780191744167
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199695607.003.0020
Subject:
Mathematics, Probability / Statistics

This chapter discusses optimal Bayesian model specification. It examines three methods that may be helpful in moving toward an optimal-model-specification goal. These methods are: an approach called ... More


Machine learning with sklearn

Thomas P. Trappenberg

in Fundamentals of Machine Learning

Published in print:
2019
Published Online:
January 2020
ISBN:
9780198828044
eISBN:
9780191883873
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198828044.003.0003
Subject:
Neuroscience, Behavioral Neuroscience

This chapter’s goal is to show how to apply machine learning algorithms in a general setting using some classic methods. In particular, it demonstrates how to apply three important machine learning ... More


Postlude: models and data

M. D. Edge

in Statistical Thinking from Scratch: A Primer for Scientists

Published in print:
2019
Published Online:
October 2019
ISBN:
9780198827627
eISBN:
9780191866463
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198827627.003.0013
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

Becoming a well-rounded data analyst requires more than the skills covered in this book. This postlude sketches some ways in which the types of thinking covered here can be extended to real problems ... More


Model Data

Kai R. Larsen and Daniel S. Becker

in Automated Machine Learning for Business

Published in print:
2021
Published Online:
July 2021
ISBN:
9780190941659
eISBN:
9780197601495
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780190941659.003.0004
Subject:
Business and Management, Information Technology, Innovation

After preparing your dataset, the business problem should be quite familiar, along with the subject matter and the content of the dataset. This section is about modeling data, using data to train ... More


Model Selection

Timothy E. Essington

in Introduction to Quantitative Ecology: Mathematical and Statistical Modelling for Beginners

Published in print:
2021
Published Online:
November 2021
ISBN:
9780192843470
eISBN:
9780191926112
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780192843470.003.0009
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

The chapter “Model Selection” provides a brief overview of alternative ways of thinking about what is (are) the best model(s) and shows the core motivation behind the Akaike information criterion as ... More


The Art of Model Development

Ronald K. Pearson

in Discrete-time Dynamic Models

Published in print:
1999
Published Online:
November 2020
ISBN:
9780195121988
eISBN:
9780197561294
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780195121988.003.0010
Subject:
Computer Science, Mathematical Theory of Computation

The primary objective of this book has been to present a reasonably broad overview of the different classes of discrete-time dynamic models that have been proposed for empirical modeling, ... More


In or Out?: A Benchmark Theory of Support and Scepticism

Catherine E. De Vries

in Euroscepticism and the Future of European Integration

Published in print:
2018
Published Online:
January 2018
ISBN:
9780198793380
eISBN:
9780191835216
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198793380.003.0003
Subject:
Political Science, European Union

This chapter introduces a benchmark theory of public opinion towards European integration. Rather than relying on generic labels like support or scepticism, the chapter suggests that public opinion ... More


Application to real data

Vera Pawlowsky-Glahn and Ricardo A. Olea

in Geostatistical Analysis of Compositional Data

Published in print:
2004
Published Online:
November 2020
ISBN:
9780195171662
eISBN:
9780197565513
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780195171662.003.0013
Subject:
Earth Sciences and Geography, Geophysics: Earth Sciences

Methods for spatial correlation analysis and estimation of r-compositions introduced in the foregoing chapters are illustrated here by an example that draws upon real data taken from the Lyons West ... More


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