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Regression and Model Fitting

Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray

in Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

Published in print:
2014
Published Online:
October 2017
ISBN:
9780691151687
eISBN:
9781400848911
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691151687.003.0008
Subject:
Physics, Particle Physics / Astrophysics / Cosmology

Regression is a special case of the general model fitting and selection procedures discussed in chapters 4 and 5. It can be defined as the relation between a dependent variable, y, and a set of ... More


Kernel-Based Machine Translation

Zhuoran Wang and John Shawe-Taylor

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0009
Subject:
Computer Science, Machine Learning

This chapter presents a novel framework for machine translation based on kernel ridge regression. As a kernel method, the framework has the advantage of capturing the correspondences among the ... More


Robust Prediction Under Model Misspecification

Raymond L. Chambers and Robert G. Clark

in An Introduction to Model-Based Survey Sampling with Applications

Published in print:
2012
Published Online:
May 2012
ISBN:
9780198566625
eISBN:
9780191738449
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198566625.003.0008
Subject:
Mathematics, Probability / Statistics

Robust prediction under model misspecification focuses on the important topic of how to ensure unbiased prediction even when the assumed population model is not precisely specified. The general role ... More


Advanced Topics

Jeffrey S. Racine

in Reproducible Econometrics Using R

Published in print:
2019
Published Online:
January 2019
ISBN:
9780190900663
eISBN:
9780190933647
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780190900663.003.0007
Subject:
Economics and Finance, Econometrics

This chapter covers two advanced topics: a machine learning method (support vector machines useful for classification) and nonparametric kernel regression.


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