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Analysis of Clines with Variable Selection and Variable Migration

The American Naturalist, 2000
We report a likelihood-based method that estimates both dispersal and natural selection using the rate of change of the shape of a cline when selection and migration are not constant through time. We have investigated the case of local adaptation of the mosquito Culex pipiens to organophosphate insecticides in the Montpellier area in France.
Thomas, Lenormand, Michel, Raymond
openaire   +2 more sources

Benefitting from the variables that variable selection discards

J. Mach. Learn. Res., 2003
Summary: In supervised learning variable selection is used to find a subset of the available inputs that accurately predict the output. This paper shows that some of the variables that variable selection discards can beneficially be used as extra outputs for inductive transfer.
Rich Caruana, Virginia R. de Sa
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Variable Selection

2020
Ramcharan Kakarla   +2 more
  +4 more sources

Selection of Variables in Mixed-Variable Discriminant Analysis

Biometrics, 1986
A MANOVA-log-linear formulation of the location model for mix ed-variable discriminant analysis is considered. A strategy for the selection of variables and terms in such a model is based on Akaike's criterion. To overcome problems caused by noncomparable submodels, some modifications to Akaike's criterion are proposed.
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ON VARIABLE SELECTION IN LINEAR REGRESSION

Econometric Theory, 2002
Shibata (1981, Biometrika 68, 45–54) considers data-generating mechanisms belonging to a certain class of linear regressions with errors that are independent and identically normally distributed. He compares the variable selection criteria AIC (Akaike information criterion) and BIC (Bayesian information criterion) using the following type of ...
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Variable Selection

David L. Olson   +3 more
  +5 more sources

Variable Selection

2015
Wolfgang Karl Härdle, Zdeněk Hlávka
openaire   +2 more sources

Causality-based Feature Selection

ACM Computing Surveys, 2021
Kui Yu, Xianjie Guo, Lin Liu
exaly  

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