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PARTIAL TABLE OF CONTENTS: GENERAL TOPICS IN THE THEORY OF PROBABILITY METRICS
Main Directions in the Theory of Probability Metrics
Primary, Simple and Compound p
Distances; Minimal and Maximal Distances and Norms
RELATIONS BETWEEN COMPOUND, SIMPLE AND PRIMARY DISTANCES
Monge-Kantorovich Mass Transference Problem; Minimal Distances and Minimal Norms
K-Minimal Metrics
Moment Problems Related to the Theory of Probability Metrics; Relations Between Compound and Primary Distances
APPLICATIONS OF MINIMAL P. DISTANCES
Glivenko-Cantelli Theorem and Bernstein-Kantorovich Invariance Principle
Optimal Quality Usage
IDEAL METRICS
Ideal Metrics and Rate of Convergence in the CLT for Random Motions
How Close Are the Individual and Collective Models in the Risk Theory?
Ideal Metrics and Stability of Characterizations of Probability Distributions
Bibliographical Notes
References
Table of Probability Semidistances
Index of Symbols and Abbreviations
Index
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Anuar Iberahim
reviewed Probability metrics and the stability of stochastic models on November 29, 2018
Probability metrics and the stability of stochastic models
Honestly, I don't have much to say about this. It might be because I haven't fully processed some of the essays I read to the point where I can sufficiently talk about them. A lot of the essays acted as a balm to my soul. It was interesting to see that a lot of the struggles women face today are almost the exact same. I wasn't exactly surprised, but it made their words feel even more pressing.
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Add Probability metrics and the stability of stochastic models, Concentrates on four specialized research directions as well as applications to different problems of probability theory. These include: description of the basic structure of p. metrics, analysis of the topologies in the space of probability measures gene, Probability metrics and the stability of stochastic models to the inventory that you are selling on WonderClubX
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Add Probability metrics and the stability of stochastic models, Concentrates on four specialized research directions as well as applications to different problems of probability theory. These include: description of the basic structure of p. metrics, analysis of the topologies in the space of probability measures gene, Probability metrics and the stability of stochastic models to your collection on WonderClub |