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Springer Proceedings in Mathematics & Statistics

Springer Proceedings in Mathematics & Statistics: In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26

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Springer Proceedings in Mathematics & Statistics: In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26

Chen, Zhen-Qing; Takeda, Masayoshi; Uemura, Toshihiro

This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to. 

These 27 papers cover a wide range of topics in probability theory, ranging from Dirichlet form theory, Markov processes, heat kernel estimates, entropy on Wiener spaces, analysis on fractal spaces, random spanning tree and Poissonian loop ensemble, random Riemannian geometry, SLE, space-time partial differential equations of higher order, infinite particle systems, Dyson model, functional inequalities, branching process, to machine learning and Hermitizable problems for complex matrices. Researchers and graduate students interested in these areas will find this book appealing. 

Details

Published by: Springer

Publication Date: 2023-09-06

Format: Paperback

ISBN-13: 9789811946745

DOI: 10.1007/978-981-19-4672-1

Dimensions: 235cm x155cm

Pages: 572

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