Category: Ethan Deyle

• Liang, information flows, causation, and convergent cross-mapping

  Akaike Information Criterion . American Association for the Advancement of Science . Anthropocene . attribution . carbon dioxide . climate . climate change . climate disruption . complex systems . convergent cross-mapping . ecology . Egbert van Nes . Ethan Deyle . Floris Takens . George Sughihara . global warming . Hao Ye . Hyper Anthropocene . information theoretic statistics . Lenny Smith . model-free forecasting . nonlinear systems . physics . statistics . Takens embedding theorem . theoretical physics . Timothy Lenton . Victor Brovkin

  May 2.2017
• Just because the data lies sometimes doesn’t mean it’s okay to censor it

  Akaike Information Criterion . American Association for the Advancement of Science . American Meteorological Association . American Statistical Association . AMETSOC . Anthropocene . Bayes . Bayesian . climate . climate change . climate models . data science . dynamical systems . ecology . Eli Rabett . environment . Ethan Deyle . George Sughihara . Hao Ye . Hyper Anthropocene . information theoretic statistics . IPCC . Kalman filter . kriging . Lenny Smith . maximum likelihood . model comparison . model-free forecasting . physics . quantitative ecology . random walk processes . random walks . science . smart data . state-space models . statistics . Takens embedding theorem . the right to know . Timothy Lenton . Victor Brovkin

  May 1.2017
• “Stochastic Parameterization: Towards a new view of weather and climate models”

  biology . climate models . complex systems . convergent cross-mapping . data science . dynamical systems . ecology . Ethan Deyle . Floris Takens . George Sughihara . Hao Ye . likelihood-free . Lorenz . mathematics . meteorological models . model-free forecasting . physics . population biology . population dynamics . quantitative biology . quantitative ecology . Scripps Institution of Oceanography . state-space models . statistical dependence . statistics . stochastic algorithms . stochastic search . stochastics . Takens embedding theorem . time series . Victor Brovkin

  Jul 24.2016
• On Munshi mush

  Bayes . Bayesian . Berkeley Earth Surface Temperature project . BEST . carbon dioxide . cat1 . climate . climate change . climate data . climate education . climate models . convergent cross-mapping . dynamic linear models . ecology . ENSO . environment . Ethan Deyle . evidence . geophysics . George Sughihara . global warming . greenhouse gases . information theoretic statistics . Kalman filter . mathematics . maths . meteorology . model comparison . NOAA . oceanography . prediction . state-space models . statistics . Takens embedding theorem . Techno Utopias . the right to know . theoretical physics . time series . zero carbon

  Jun 5.2016
• “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