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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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