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Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish
distribution environment fish fresh-water MARS
2015/8/21
Relationships between probabilities of occurrence for fifteen diadromous fish species and environmental variables characterising their habitat in fluvial waters were explored using an extensive collec...
Variation in demersal fish species richness in the oceans surrounding New Zealand:an analysis using boosted regression trees
Demersal fish Species richness Boosted regression trees Statistical model
2015/8/21
We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were ca...
Penalized Logistic Regression for Detecting Gene Interactions
Penalized Logistic Regression Detecting Gene Interactions
2015/8/21
We propose using a variant of logistic regression with L2 regularization to fit genegene and gene-environment interaction models. Studies have shown that many common diseases are influenced by interac...
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
Distribution Environment Fish Freshwater Generalized additive model Multivariate adaptive regression splines
2015/8/21
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwat...
A working guide to boosted regression trees
data mining machine learning model averaging random forests species distributions
2015/8/21
A working guide to boosted regression trees.