{"product_id":"9783032039132","title":"Stochastic Analysis and Applications 2025 In Honour of Terry Lyons","description":"\u003ch1\u003eStochastic Analysis and Applications 2025\u003c\/h1\u003e\u003ch2\u003eIn Honour of Terry Lyons\u003c\/h2\u003e\u003ch3\u003eDan Crisan | Ilya Chevyrev | Thomas Cass | James Foster | Christian Litterer | Cristopher Salvi\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003eThis book presents a selection of cutting-edge contributions from leading experts in the field, capturing the latest developments in stochastic analysis and its growing interface with neighboring disciplines. Stochastic analysis is a rapidly evolving branch of mathematics focused on the behavior of dynamical systems influenced by randomness. Over the past three decades, it has grown into one of the most vibrant and interdisciplinary areas of research, with profound impact on fields ranging from finance and physics to data science and engineering.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eTopics include rough path theory, stochastic control, stochastic partial differential equations, random matrices, and applications in machine learning.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eBuilding on the success of a recent international conference that brought together researchers from both academia and industry, this proceedings book highlights the depth and breadth of current work in the field. It serves as a valuable resource not only for academic researchers in mathematics, but also for practitioners working in areas such as quantitative finance, data-driven modeling, and applied probability.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003eDan Crisan is a professor of Mathematics at Imperial College London and Director of the Centre for Doctoral Training\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003ein the Mathematics for our Future Climate. He has a Ph.D. in Mathematics from the University of Edinburgh having graduated in December 1996 with a thesis entitled The Problem of Nonlinear Filtering. After his Ph.D. studies, he held a postdoctoral fellowship at Imperial College London and moved to the Statistical Laboratory in Cambridge as an assistant lecturer. Crisan returned to Imperial in 2000, where he was awarded a prestigious Governors' Lectureship. He was promoted to a full professor in 2011. His research is in the wider area of Stochastic Analysis and application.\u003cspan style=\"mso-spacerun: yes;\"\u003e   \u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eIlya Chevyrev is currently a researcher at SISSA. Prior to this, he was a Ph.D. student and junior research fellow at the University of Oxford, a postdoc and Mercator Fellow at TU Berlin, and a Reader at the University of Edinburgh. His research focuses on rough analysis.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eThomas Cass is Professor of Mathematics at Imperial College London.\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eHis research focuses on probability, stochastic analysis, and mathematical data science, with particular emphasis on rough path theory. He completed his PhD at the University of Cambridge and held academic positions at the University of Oxford before joining Imperial in 2011. At Imperial, he directs the EPSRC Centre for Doctoral Training in the Mathematics of Random Systems, a joint initiative with the University of Oxford, and is part of the leadership team for the DataSig I and DataSig II programmes, which develops mathematical tools for analysing complex data. He has been a Visiting Researcher at the Alan Turing Institute and was the Erik Ellentuck Fellow at the Institute for Advanced Study in Princeton.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eJames Foster is currently a lecturer in mathematics at the University of Bath. Previously, he was a Ph.D. student and postdoctoral researcher at the University of Oxford. His research focuses on stochastic numerics, differential equations and their applications to machine learning.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eChristian Litterer is currently a Lecturer in the Department of Mathematics at the University of York. He completed his PhD and held a postdoctoral position at the University of Oxford. Before joining the University of York, he also held postdoctoral positions at Imperial College London and École Polytechnique. His research interests lie in signatures, rough paths, and their applications in stochastic analysis.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eCristopher Salvi is a lecturer in Mathematics and AI at Imperial College London, Department of Mathematics, and Imperial X. Previously, he was a Chapman fellow in Mathematics at Imperial College London and before that he obtained his Ph.D. from the University of Oxford under the supervision of Terry Lyons.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e17 April 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032039132\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e523\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44375399170188,"sku":"9783032039132","price":251.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032039132.jpg?v=1780603342","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032039132","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}