Maximum Likelihood Estimate of Payoffs from Time Series

Magnani, Jacopo; Friedman, Daniel; Sinervo, Barry

Published Nov 04, 2015 on Dryad. https://doi.org/10.7291/D1H59D

Data files

Nov 04, 2015 version files 36.96 KB

codes-description.txt

1.28 KB
dirichlet_calling.m

6.22 KB
dirichlet_sim.m

2.13 KB
dirichletLF0.m

1 KB
dirichletLF1.m

1.12 KB
dirichletLF2.m

1.21 KB
dirichletLFsim.m

934 B
logratio_calling.m

4.70 KB
logratio_sim.m

2.13 KB
logratioLF0.m

1.24 KB
logratioLF1.m

1.36 KB
logratioLFsim.m

1.17 KB
panel_allele-description

782 B
panel_allele.mat

2.04 KB
var_calling.m

4.47 KB
var_sim.m

2.12 KB
varLF0.m

1.01 KB
varLF1.m

1.13 KB
varLFsim.m

920 B

Abstract

We fit the data to a structural model estimated via maximum likelihood (ML) techniques. The model in the matlab code joins discrete time replicator dynamics with a stochastic structure, given by the Dirichlet distribution or, alternatively, by the logistic distribution.

Maximum Likelihood Estimate of Payoffs from Time Series

Data files

Abstract

Methods