High Dimensional Probability VI by Jan Rosiski

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Summary

These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory.

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High Dimensional Probability VI by Jan Rosiski

These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory.
SKU Unavailable
ISBN 13 9783034804899
ISBN 10 303480489X
Title High Dimensional Probability VI
Author Jan Rosiski
Series Progress In Probability
Condition Unavailable
Binding Type Hardback
Publisher Springer Basel
Year published 2013-04-30
Number of pages 374
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.