{"product_id":"9783031960147","title":"Springer Proceedings in Mathematics \u0026 Statistics: SMSA 2024, Delft, The Netherlands, March 13-15","description":"\u003ch1\u003eSpringer Proceedings in Mathematics \u0026amp; Statistics: SMSA 2024, Delft, The Netherlands, March 13-15\u003c\/h1\u003e \u003ch2\u003eSteland, Ansgar; Rafajłowicz, Ewaryst; Parolya, Nestor\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNoSpacing\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-bidi-font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US;\"\u003eThis volume presents contemporary research in stochastic modeling, statistical inference and their applications, and collects peer-reviewed contributions presented at the 15th Workshop on Stochastic Models, Statistics and Their Applications, SMSA 2024, held in Delft, The Netherlands, March 13-15, 2024. It brings together a unique mix of authors, working on theoretical and applied problems, and addresses a wide variety of topics from the workshop’s focus areas, which included Bayesian methods, change point analysis, computational statistics, econometrics, high-dimensional, nonparametric and spatial statistics, statistical process monitoring, statistics for stochastic processes, and sequential and time series analysis. The volume is structured in three parts, covering stochastics and statistical theory, statistical inference and machine learning, and testing for patterns in data. The contributions discuss highly active research topics, such as strong approximation in high dimensions, modeling and testing multivariate distributions, the interplay and fusion of statistical ideas and machine learning, approaches to handling discrete and ordinal data, and detection of hidden patterns in data, with applications to environmental science, business and engineering. \u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-10-22\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031960147\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-96015-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 198\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44340880179340,"sku":"9783031960147","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031960147.jpg?v=1774526365","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031960147","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}