Category: descriptive statistics

• COVID-19 statistics, a caveat : Sources of data matter

  coronavirus . count data regression . COVID-19 . descriptive statistics . epidemiology . pandemic . policy metrics . politics . population biology . population dynamics . quantitative biology . quantitative ecology . sampling . SARS-CoV-2 . statistical ecology . statistical series . statistics

  May 17.2020
• Cumulants and the Cornish-Fisher Expansion

  Calculus . closed-form expressions . Cornish-Fisher expansion . cumulants . descriptive statistics . mathematics . maths . multivariate statistics . statistical models . statistics . theoretical statistics

  May 27.2019
• Procrustes tangent distance is better than SNCD

  data science . dependent data . descriptive statistics . divergence measures . hydrology . Ian Dryden . information theoretic statistics . J.T.Kent . Kanti Mardia . non-parametric statistics . normalized compression divergence . quantitative ecology . R statistical programming language . spatial statistics . statistical series . time series

  Feb 24.2019
• 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
• Series, symmetrized Normalized Compressed Divergences and their logit transforms

  Akaike Information Criterion . bridge to somewhere . computation . content-free inference . data science . descriptive statistics . divergence measures . engineering . George Sughihara . information theoretic statistics . likelihood-free . machine learning . mathematics . model comparison . model-free forecasting . multivariate statistics . non-mechanistic modeling . non-parametric statistics . numerical algorithms . statistics . theoretical physics . thermodynamics . time series

  Jan 3.2019
• How to Describe Numbers

  abstraction . anemic data . anomaly detection . descriptive statistics . education

  Sep 10.2017