Empirical Jeffreys prior

Electronic supplementary material (ESM)

Article: Bayes estimates as an approximation to maximum likelihood estimates

Author: Kohji Yamamura
Journal: Population Ecology, DOI 10.1007/s10144-015-0526-x
The final publication is available at Springer via http://dx.doi.org/10.1007/s10144-015-0526-x

ESM S1: Example of R-code for obtaining ML estimates by using empirical Jeffreys prior

ESM S1-1: Calculation by winBUGS via R2WinBUGS or R2OpenBUGS (text file).
Empirical_Jeffreys_prior_R2WinBUGS_Sorachi_deer.txt

ESM S1-2: Calculation by jags via R2jags (text file).
Empirical_Jeffreys_prior_R2jags_Sorachi_deer.txt

ESM S1-3: Output from R-code of ESM S1-1 (PDF file).
Output_from_winBUGS.pdf

ESM S1-4: Calculation by jags via rjags (text file).
Empirical_Jeffreys_prior_rjags_Sorachi_deer.txt

ESM S2: Example of R-code for obtaining ML estimates by using data cloning (text file)

Dclone_Sorachi_deer.txt

ESM S3: Comparison of estimates of σ between empirical Jeffreys prior method and data cloning method

ESM S3-1: Comparison of σ between empirical Jeffreys prior method and data cloning method (PDF file)
Comparison_sigma.pdf

ESM S3-2: R-code for obtaining ML estimates of σ by using quadratic regression from the output of ESM S1 (text file).
Quadratic_reg_sigma.txt

ESM S4: R program for directly calculating the maximum likelihood estimates and CL

MLestimation_Sorachi_deer_Yamamura_2018.txt

Statistical Modeling Unit, NIAES