Category: empirical likelihood

• Stream flow and P-splines: Using built-in estimates for smoothing

  American Statistical Association . citizen data . citizen science . Clausius-Clapeyron equation . Commonwealth of Massachusetts . cross-validation . data science . dependent data . descriptive statistics . dynamic linear models . empirical likelihood . environment . flooding . floods . Grant Foster . hydrology . likelihood-free . meteorological models . model-free forecasting . non-mechanistic modeling . non-parametric . non-parametric model . non-parametric statistics . numerical algorithms . precipitation . quantitative ecology . statistical dependence . statistical series . stream flow . Tamino . the bootstrap . time series . water vapor

  Jan 28.2019
• 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
• “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
• reblog: “Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman”

  approximate Bayesian computation . Bayesian . Bayesian inversion . empirical likelihood . evidence . likelihood-free . probability . rationality . reasonableness . statistics . stochastic algorithms . stochastic search

  Nov 24.2015