Category: divergence measures

• 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
• A look at an electricity consumption series using SNCDs for clustering

  American Statistical Association . consumption . data streams . decentralized electric power generation . dendrogram . divergence measures . efficiency . electricity . electricity markets . energy efficiency . energy utilities . ensembles . evidence . forecasting . grid defection . hierarchical clustering . hydrology . ILSR . information theoretic statistics . local self reliance . Massachusetts . microgrids . NCD . normalized compression divergence . numerical software . open data . prediction . rate of return regulation . Sankey diagram . SNCD . statistical dependence . statistical series . statistics . sustainability . symmetric normalized compression divergence . time series

  Jan 11.2019
• 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