Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence
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Publication:4967759
DOI10.1007/978-3-030-02520-5_8zbMath1420.62016OpenAlexW2900826962MaRDI QIDQ4967759
Michel Broniatowski, Wolfgang Stummer
Publication date: 10 July 2019
Published in: Geometric Structures of Information (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-02520-5_8
Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of information-theoretic topics (62B10)
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On reconsidering entropies and divergences and their cumulative counterparts: Csiszár's, DPD's and Fisher's type cumulative and survival measures ⋮ On a cornerstone of bare-simulation distance/divergence optimization ⋮ Aggregated tests based on supremal divergence estimators for non-regular statistical models ⋮ Optimal transport with some directed distances
Uses Software
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