theoretical ecology

notes from ecology, evolution and statistics by Florian Hartig

Menu

Skip to content
  • About me
  • RSS feed
  • Twitter @TheorEcolBlog
  • Ecology Jobs

Tag Archives: intractable likelihood

Explaining the ABC-Rejection Algorithm in R

Approximate Bayesian Computation (ABC) is an umbrella term for a class of algorithms and ideas that allow performing an approximate estimation of the likelihood / posterior for stochastic simulation models when the likelihood cannot be explicitly calculated (intractable likelihood). To give you the idea in a nutshell: to approximate the likelihood, consider that for a…

Advertisement

June 2, 2014 in Bayesian, Statistics.

Discussion paper on approximate Bayesian parameterization of a complex tropical forest model

Biogeosciences just published a discussion paper on a project I have been working on for quite a while now, namely on likelihood approximations for stochastic forest models (see also our review on the topic of simulation-based inference in general). From the technical side, it may be interesting that we don’t use Approximate Bayesian Computation (ABC),…

August 7, 2013 in Ecology, Statistics.

A simple Approximate Bayesian Computation MCMC (ABC-MCMC) in R

Approximate Bayesian Computing and similar techniques, which are based on calculating approximate likelihood values based on samples from a stochastic simulation model, have attracted a lot of attention in the last years, owing to their promise to provide a general statistical technique for stochastic processes of any complexity, without the limitations that apply to “traditional”…

July 15, 2012 in Bayesian, MCMC, R, Statistics.

Statistical inference for stochastic simulation models

Our new review on statistical inference for stochastic simulation models is now available at Ecology Letters. The paper discusses how approximate likelihood functions can be generated from stochastic simulations. Such simulation-based likelihood approximations are a very general and powerful tool because they allow us to apply statistical methods to a large class of models such…

June 21, 2011 in Bayesian, Journal club, MCMC, Statistics.

Most accessed

  • A simple Metropolis-Hastings MCMC in R
  • Mediators, confounders, colliders - a crash course in causal inference
  • JCR 2016 impact factors for the top 40 ecology journals
  • Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches for predictive inference
  • A simple explanation of rejection sampling in R

Recent Comments

Florian Hartig on A simple Metropolis-Hastings M…
Isabella Stevens on A simple Metropolis-Hastings M…
Florian Hartig on A simple Metropolis-Hastings M…
Aditya on A simple Metropolis-Hastings M…
Florian Hartig on “Scientists in a war for…
Florian Hartig on Scientists keep warning, I sto…
Stephan Kreidl on Scientists keep warning, I sto…

Twitter Updates

  • The tail of application wagging the dog of knowledge: is ecological science fit for policy? theoreticalecology.wordpress.com/2022/10/24/the… 3 months ago
  • “Scientists in a war for a future of humanity” – I strongly disagree! theoreticalecology.wordpress.com/2022/10/24/sci… 3 months ago
  • Simulated Likelihood Ratio Tests for (Generalised) Linear Mixed Models (GLMMs) theoreticalecology.wordpress.com/2022/09/09/sim… 4 months ago
Follow @TheorEcolBlog

Enter your email address to follow this blog and receive notifications of new posts by email.

Tags

Academic journals Academic life Academic publishing Approximate bayesian computation (ABC) Article retraction Bayesian basics Bayesian inference Bayesian statistics Bibliometrics Big data Carsten Dormann Climate change Coexistence mechanisms Conservation biology DHARMa Diversity patterns Dynamic vegetation models (DVMs) Ecological modeling Ecosystem services Extinction risk Forest models Freiburg Generalized linear mixed model (GLMM) Hierachical Bayesian impact factor Individual-based models intractable likelihood Inverse modelling ISI JAGS Journal Citation Report Journal of Biogeography mcmc Model selection Nature open access OpenBugs Open data Peer review Phylogenetics pnas power law Psychology Publications Florian Hartig Reproducibility Residual diagnostics Science mag Scientific writing Scientometrics Simulation-based inference Special issue: the niche as a window to biodiversity Speciation Species distribution models (SDMs) State space models statistical inference Statistics stochastic simulation Submitted to R-bloggers Summer school Bayesian statistics Teaching

Meta

  • Register
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.com

Blogroll

  • Andrew Gelman
  • Darren Wilkinson
  • Dynamic Ecology
  • eco-evolutionary dynamics
  • Ecobloggers
  • Ecology is not a dirty word
  • EEB and Flow
  • i'm a chordata! urochordata!
  • Jabberwocky Ecology
  • Not Even Wrong
  • Of Particular Significance
  • PEGE Journal Club
  • PhD comics
  • R-bloggers
  • Reflections on papers past
  • Scientific B-sides
  • The Contemplative Mammoth
  • Three-Toed Sloth

Disclaimer

This is a private blog. The opinions expressed herein are my own personal opinions. They do not necessarily represent the views of either my employer, or any organization I am working with. Copyright see here.
Blog at WordPress.com.
Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
  • Follow Following
    • theoretical ecology
    • Join 348 other followers
    • Already have a WordPress.com account? Log in now.
    • theoretical ecology
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...