Category: boosting

• HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model

  AMETSOC . anemic data . Bayesian . boosting . bridge to somewhere . cat1 . changepoint detection . climate . climate change . climate data . climate disruption . climate models . complex systems . computation . data science . dynamical systems . geophysics . George Sughihara . global warming . hiatus . information theoretic statistics . machine learning . maths . meteorology . MIchael Mann . multivariate statistics . physics . prediction . Principles of Planetary Climate . rationality . reasonableness . regime shifts . sea level rise . time series

  Mar 18.2016
• 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
• “Causal feedbacks in climate change”

  Anthropocene . boosting . Carbon Cycle . carbon dioxide . Carbon Worshipers . cat1 . climate . climate change . climate data . climate disruption . complex systems . convergent cross-mapping . denial . differential equations . diffusion processes . dynamical systems . ecology . Egbert van Nes . empirical likelihood . ensembles . environment . Ethan Deyle . Floris Takens . forecasting . fossil fuels . geophysics . George Sughihara . global warming . greenhouse gases . Hao Ye . machine learning . Maren Scheffer . mathematics . maths . meteorology . physics . rationality . reasonableness . science . state-space models . Takens embedding theorem . time series . Timothy Lenton . Victor Brovkin

  Jan 20.2016