Category: Gibbs Sampling

• Reanalysis of business visits from deployments of a mobile phone app

  Bayesian computational methods . biology . capture-mark-recapture . capture-recapture . Christian Robert . count data regression . cumulants . diffusion . diffusion processes . Ecological Society of America . ecology . epidemiology . experimental science . field research . Gibbs Sampling . Internet measurement . Jean-Michel Marin . linear regression . mark-recapture . mathematics . maximum likelihood . Monte Carlo Statistical Methods . multilist methods . multivariate statistics . non-mechanistic modeling . non-parametric statistics . numerics . open source scientific software . Pierre-Simon Laplace . population biology . population dynamics . quantitative biology . quantitative ecology . R . R statistical programming language . sampling . sampling algorithms . segmented package in R . statistical ecology . statistical models . statistical regression . statistical series . statistics . stepwise approximation . stochastic algorithms . surveys . V. M. R. Muggeo

  Feb 20.2020
• Sampling: Rejection, Reservoir, and Slice

  accept-reject methods . American Statistical Association . Bayesian computational methods . catastrophe modeling . data science . diffusion processes . empirical likelihood . Gibbs Sampling . insurance . Markov Chain Monte Carlo . mathematics . Mathematics and Climate Research Network . maths . Monte Carlo Statistical Methods . multivariate statistics . numerical algorithms . numerical analysis . numerical software . numerics . percolation theory . Python 3 programming language . R statistical programming language . Radford Neal . sampling . slice sampling . spatial statistics . statistics . stochastic algorithms . stochastic search

  Sep 29.2018

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  “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
• high dimension Metropolis-Hastings algorithms

  Bayes . Bayesian . Bayesian inversion . boosting . chance . Christian Robert . computation . ensembles . Gibbs Sampling . James Spall . Jerome Friedman . Markov Chain Monte Carlo . mathematics . maths . MCMC . Monte Carlo Statistical Methods . multivariate statistics . numerical software . numerics . optimization . reasonableness . Robert Schapire . SPSA . state-space models . statistics . stochastic algorithms . stochastic search . stochastics . Yoav Freund

  Feb 6.2016
• “The Bayesian Second Law of Thermodynamics” (Sean Carroll, and collaborators)

  approximate Bayesian computation . Bayesian . bifurcations . Boltzmann . capricious gods . dynamical systems . ensembles . games of chance . Gibbs Sampling . information theoretic statistics . Josiah Willard Gibbs . mathematics . maths . physics . probability . rationality . reasonableness . science . statistics . stochastic algorithms . stochastics . thermodynamics . Wordpress

  Aug 11.2015
• “A vignette on Metropolis” (Christian Robert)

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

  Apr 12.2015
• 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
• 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
• HadCRUT4 version “HadCRUT.4.2.0.0” available as .RData R workspace or image

  climate . climate education . ecology . environment . geoengineering . geophysics . Gibbs Sampling . oceanography . physics . R . science . statistics

  Jan 22.2014