This volume is the proceedings of the 12th Mathematical Society of Japan, Seasonal Institute (MSJ-SI) "Stochastic Analysis, Random Fields and Integrable Probability," which was held at Kyushu University in Fukuoka, Japan from July 31 to August 9, 2019.This volume consists of 18 peer-reviewed articles written by speakers who lead currently active research fields of probability theory such as stochastic analysis, integrable probability, random fields and discrete probability.The editors believe that this volume is quite useful for all researchers and students who are interested in these fruitful research fields.Published by Mathematical Society of Japan and distributed by World Scientific Publishing Co. for all markets except North America
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Yuzuru Inahama, Kyushu University, Fukuoka, Japan.
Hirofumi Osada, Kyushu University, Fukuoka, Japan.
Tomoyuki Shirai, Kyushu University, Fukuoka, Japan.
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Hardcover. Condición: new. Hardcover. This volume is the proceedings of the 12th Mathematical Society of Japan, Seasonal Institute (MSJ-SI) 'Stochastic Analysis, Random Fields and Integrable Probability,' which was held at Kyushu University in Fukuoka, Japan from July 31 to August 9, 2019.This volume consists of 18 peer-reviewed articles written by speakers who lead currently active research fields of probability theory such as stochastic analysis, integrable probability, random fields and discrete probability.The editors believe that this volume is quite useful for all researchers and students who are interested in these fruitful research fields.Published by Mathematical Society of Japan and distributed by World Scientific Publishing Co. for all markets except North America Presents the proceedings of the 12th Mathematical Society of Japan, Seasonal Institute (MSJ-SI) Stochastic Analysis, Random Fields and Integrable Probability, held in August 2019. The volume consists of 18 peer-reviewed articles written by speakers who lead currently active research fields of probability theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9784864970945
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