Data from: Penalized likelihood methods improve parameter estimates in occupancy models

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关键词：

penalized likelihood;boundary estimates;maximum likelihood;summer 2011;occupancy modeling;detection probability;parameter estimation

DOI：

doi:10.5061/dryad.t40f2

摘要：

r, we explore strategies for estimating parameters based on maximizing a penalized likelihood. Penalized likelihood methods augment the usual likelihood

Data from: A penalized likelihood framework for high- dimensional phylogenetic comparative methods and an application to new-world monkeys

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关键词：

approximate LOOCV;large p small n;Generalized Information Criteria;phylogenetic signal;LASSO;Shrinkage;new world monkeys;Phylogenetic PCA;Evolutionary covariances;Regularization;Ridge;brain shape

DOI：

doi:10.5061/dryad.rf7317t

摘要：

mited. Here we develop a penalized likelihood framework to deal with high-dimensional comparative datasets. We propose various penalizations and method

Data from: One tree to link them all: a phylogenetic dataset for the European Tetrapoda

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关键词：

Mammalia;chronogram;Testudinae;Amphibia;phylogeny;Squamata;Phylogenetic uncertainty;Aves;Tetrapoda

DOI：

doi:10.5061/dryad.11609

摘要：

a phylogenetic dataset that accounts for phylogenetic uncertainty, and assessed node support with bootstrap analyses. Each tree was dated using penalized-likelihood