Category: dynamic generalized linear models

• Calculating Derivatives from Random Forests

  bridge to somewhere . Calculus . dependent data . dynamic generalized linear models . dynamical systems . ensemble methods . ensemble models . filtering . forecasting . hierarchical clustering . linear regression . model-free forecasting . Monte Carlo Statistical Methods . non-mechanistic modeling . non-parametric model . non-parametric statistics . numerical algorithms . prediction . R statistical programming language . random forests . regression . sampling . splines . statistical learning . statistical series . statistics . time derivatives . time series

  Jun 27.2020
• A quick note on modeling operational risk from count data

  American Statistical Association . Bayesian . Bayesian computational methods . count data regression . dichotomising continuous variables . dynamic generalized linear models . Frank Harrell . Frequentist . Generalize Additive Models . generalized linear mixed models . generalized linear models . GLMMs . GLMs . John Kruschke . maximum likelihood . model comparison . Monte Carlo Statistical Methods . multivariate statistics . nonlinear . numerical software . numerics . premature categorization . probit regression . statistical regression . statistics

  Sep 11.2018
• on nonlinear dynamics of hordes of people

  Anthropocene . bifurcations . biology . Carl Safina . causation . complex systems . dynamic generalized linear models . dynamic linear models . dynamical systems . ecological services . ecology . Emily Shuckburgh . finance . Floris Takens . fluid dynamics . fluid eddies . games of chance . Hyper Anthropocene . investments . Lenny Smith . Lorenz . nonlinear . numerical algorithms . numerical analysis . politics . population biology . population dynamics . prediction markets . Principles of Planetary Climate . public transport . Ray Pierrehumbert . risk . sampling networks . sustainability . Timothy Lenton . Yale University Statistics Department . zero carbon . “The tide is risin’/And so are we”

  Feb 6.2018
• Results of short literature search on impacts of climate change upon ecosystems and bird or animal migration patterns, from the journals of the Ecological Society of America

  adaptation . American Statistical Association . Anthropocene . biology . climate change . climate education . climate models . complex systems . differential equations . dynamic generalized linear models . dynamical systems . ecological services . Ecological Society of America . ecology . Ecology Action . environment . evidence . global warming . Hyper Anthropocene . marine biology . mass extinctions . nonlinear systems . population biology . population dynamics . quantitative biology . quantitative ecology . tragedy of the horizon

  Sep 16.2017
• Chesterton’s fence, ecological sensitivity, and the disruption of ecological services

  dynamic generalized linear models . dynamical systems . ecological services . ecology . Ecology Action . mathematics . mathematics education . maths . XKCD

  Mar 27.2017
• On Smart Data

  Akaike Information Criterion . Bayes . Bayesian . Bayesian inversion . big data . bigmemory package for R . changepoint detection . data science . data streams . dlm package . dynamic generalized linear models . dynamic linear models . dynamical systems . Generalize Additive Models . generalized linear models . information theoretic statistics . Kalman filter . linear algebra . logistic regression . machine learning . Markov Chain Monte Carlo . mathematics . mathematics education . maths . maximum likelihood . MCMC . Monte Carlo Statistical Methods . multivariate statistics . numerical analysis . numerical software . numerics . quantitative biology . quantitative ecology . rationality . reasonableness . sampling . smart data . state-space models . statistical dependence . statistics . the right to know . time series

  Jun 11.2016