Category: maximum likelihood

• 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
• 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
• 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
• 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
• Six cases of models

  AMETSOC . anemic data . Anthropocene . astrophysics . Bayesian . Berkeley Earth Surface Temperature project . BEST . carbon dioxide . climate . climate change . climate data . climate disruption . climate models . dlm package . dynamic linear models . dynamical systems . environment . fossil fuels . geophysics . Giovanni Petris . global warming . greenhouse gases . Hyper Anthropocene . information theoretic statistics . maths . maximum likelihood . meteorology . model comparison . numerical software . Patrizia Campagnoli . Rauch-Tung-Striebel . Sonia Petrone . state-space models . stochastic algorithms . stochastic search . SVD . time series

  Jun 6.2016
• Cory Lesmeister’s treatment of Simson’s Paradox (at “Fear and Loathing in Data Science”)

  Akaike Information Criterion . approximate Bayesian computation . Bayes . Bayesian . evidence . Frequentist . games of chance . information theoretic statistics . Kalman filter . likelihood-free . mathematics . maths . maximum likelihood . Monte Carlo Statistical Methods . probabilistic programming . rationality . Rauch-Tung-Striebel . Simpson’s Paradox . state-space models . statistical dependence . statistics . stochastics

  May 7.2016