Category: JAGS

• Less evidence for a global warming hiatus, and urging more use of Bayesian model averaging in climate science

  American Statistical Association . Andrew Parnell . anomaly detection . Anthropocene . Bayesian . Bayesian model averaging . Berkeley Earth Surface Temperature project . BEST . climate change . David Spiegelhalter . dependent data . Dublin . GISTEMP . global warming . Grant Foster . HadCRUT4 . hiatus . Hyper Anthropocene . JAGS . Markov Chain Monte Carlo . Martyn Plummer . Mathematics and Climate Research Network . MCMC . model-free forecasting . Niamh Cahill . Significance . statistics . Stefan Rahmstorf . Tamino

  Feb 14.2018

• 

  “Grid shading by simulated annealing” [Martyn Plummer]

  approximate Bayesian computation . Bayesian . Bayesian inversion . Boltzmann . BUGS . Christian Robert . Gibbs Sampling . JAGS . likelihood-free . Markov Chain Monte Carlo . Martyn Plummer . mathematics . maths . MCMC . Monte Carlo Statistical Methods . optimization . probabilistic programming . SPSA . stochastic algorithms . stochastic search

  Feb 9.2016
• “A vignette on Metropolis” (Christian Robert)

  Bayes . Bayesian . Gibbs Sampling . JAGS . MCMC . optimization . probabilistic programming . statistics . stochastic algorithms . stochastic search

  Apr 12.2015
• We are trying. And the bitterest result is to have so-called colleagues align themselves with the Koch brothers

  Anthropocene . astrophysics . Boston Ethical Society . bridge to nowhere . carbon dioxide . carbon dioxide sequestration . Carbon Tax . chemistry . citizenship . climate . climate change . climate education . consumption . decentralized electric power generation . demand-side solutions . ecology . economics . energy reduction . engineering . forecasting . fossil fuel divestment . investment in wind and solar energy . IPCC . JAGS . meteorology . methane . model comparison . NASA . natural gas . NCAR . Neill deGrasse Tyson . oceanography . open data . physics . politics . population biology . Principles of Planetary Climate . Python 3 . R . rationality . reasonableness . reproducible research . risk . science . science education . Scripps Institution of Oceanography

  Apr 3.2015
• Christian Robert on the amazing Gibbs sampler

  Bayes . Bayesian . BUGS . Gibbs Sampling . JAGS . mathematics . maths . MCMC . probabilistic programming . rationality . statistics . stochastic algorithms . stochastic search

  Feb 19.2015
• An equation-free introduction to Bayesian inference

  Bayes . Bayesian . BUGS . JAGS . mathematics . mathematics education . maths . probabilistic programming . rationality . reasonableness . science education . statistics

  Dec 7.2014
• example of Bayesian inversion

  Bayesian . climate education . ecology . environment . forecasting . geophysics . Gibbs Sampling . JAGS . mathematics . maths . MCMC . physics . probabilistic programming . rationality . reasonableness . risk . science . statistics

  Dec 7.2014
• Bayesian deconvolution of stick lengths

  Bayesian . Gibbs Sampling . JAGS . mathematics . maths . optimization . probabilistic programming . R . statistics . stochastic algorithms . stochastic search

  Nov 24.2014
• The dp-means algorithm of Kulis and Jordan in R and Python

  Bayesian . Gibbs Sampling . JAGS . mathematics . maths . R . statistics . stochastic algorithms . stochastic search

  Sep 10.2014
• Blind Bayesian recovery of components of residential solid waste tonnage from totals data

  Bayesian . BUGS . conservation . consumption . engineering . environment . Gibbs Sampling . JAGS . mathematics . maths . MCMC . MSW . politics . probabilistic programming . R . rationality . recycling . statistics . stochastic algorithms . stochastic search

  Sep 8.2014
• “The joy and martyrdom of trying to be a Bayesian”

  Bayesian . BUGS . Gibbs Sampling . JAGS . MCMC . optimization . probabilistic programming . R . rationality . reasonableness . risk . SPSA . statistics . stochastic algorithms . stochastic search

  Aug 27.2014
• How fast is JAGS?

  BUGS . engineering . Gibbs Sampling . JAGS . mathematics . maths . MCMC . probabilistic programming . R . statistics . stochastic algorithms

  Aug 27.2014
• The zero-crossings trick for JAGS: Finding roots stochastically

  Bayesian . BUGS . education . forecasting . Gibbs Sampling . JAGS . mathematics . MCMC . probabilistic programming . R . statistics . stochastic search

  Feb 17.2014