Description: Stochastic Models, Statistics and Their Applications Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Dresden, Germany, March 2019 Author(s): Ansgar Steland, Ewaryst Rafajlowicz, Ostap Okhrin Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030286644, 978-3030286644 Synopsis This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in [url] the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.
Price: 105.15 GBP
Location: Aldershot
End Time: 2024-12-26T08:57:31.000Z
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Book Title: Stochastic Models, Statistics and Their Applications
Number of Pages: 450 Pages
Publication Name: Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Economics, Computer Science, Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 1069 g
Author: Ostap Okhrin, Ewaryst Rafajlowicz, Ansgar Steland
Item Width: 155 mm
Series: Springer Proceedings in Mathematics & Statistics
Format: Hardcover
