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Springer Proceedings in Mathematics & Statistics

Stochastic Models, Statistics and Their Applications

Dresden, Germany, March 2019

Editors: Steland, Ansgar, Rafajlowicz, Ewaryst, Okhrin, Ostap (Eds.)

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  • Highlights the latest advances in stochastic modeling, statistical inference and related applications
  • Features contributions on high-dimensional statistics, machine learning, big data, econometrics and time series, quality control, reliability and survival analysis
  • Addresses the needs of theoretical and applied researchers alike
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eBook $109.00
price for USA (gross)
  • ISBN 978-3-030-28665-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 20, 2019
  • ISBN 978-3-030-28664-4
  • Free shipping for individuals worldwide
About this book

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 e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance. 

About the authors

Ansgar Steland received his Ph.D. in Mathematics from the University of Göttingen, Germany. After positions at the Technische Universität Berlin as a consultant, at the European University Viadrina and the Ruhr-University of Bochum, he joined the faculty of RWTH Aachen University, Germany, where he was appointed Full Professor at the Institute of Statistics in 2006. He is an Elected Member of the International Statistical Institute (ISI); Chair of the Society for Reliability, Quality and Safety; and Chair of the German Statistical Society’s Statistics in Natural Sciences and Technology Section. His main research interests are in change detection and quality control, high-dimensional statistics, time series analysis, nonparametric statistics, and image analysis and its applications to econometrics, the natural sciences and engineering, especially photovoltaics.

Ewaryst Rafajłowicz received his Ph.D. and D.Sc. degrees in Control Theory from Wrocław University of Technology, Poland. In 1996 he became a Full Professor, and in 2016 he was elected to the Polish Academy of Sciences as a Corresponding Member. He has been a Visiting Professor at many universities in the USA, Canada, Germany and England and has published ca. 150 papers on the identification of distributed-parameter systems, optimal design of experiments, signal processing, neural networks, nonparametric regression estimation, statistical quality control and image processing. In addition, he has served on the program committees of several international conferences and as a reviewer for many journals.

Ostap Okhrin is a Professor of Econometrics and Statistics at the Technische Universität Dresden, Germany. He worked at the European University Viadrina and later was an Assistant and then Associate Professor for Statistics of Financial Markets at the Humboldt-Universität zu Berlin and one of the principal investigators of the CRC-649 (Collaborative Research Center) “Economic Risk.” He currently teaches multivariate, computational and mathematical statistics, and his research focuses on multivariate models, in particular in copulas and financial econometrics.

Table of contents (33 chapters)

Table of contents (33 chapters)
  • Stairway to Hell

    Pages 3-11

    Stute, Winfried

  • Quantile Estimation in a Generalized Asymmetric Distributional Setting

    Pages 13-40

    Gijbels, Irène (et al.)

  • A Note on Parametric Estimation of Lévy Moving Average Processes

    Pages 41-56

    Ljungdahl, Mathias Mørck (et al.)

  • A Continuous-Time Iteratively Reweighted Least Squares Algorithm for $$L_\infty $$ Estimation

    Pages 59-68

    Knight, Keith

  • On Central Limit Theorems for Power Variations of the Solution to the Stochastic Heat Equation

    Pages 69-84

    Bibinger, Markus (et al.)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-030-28665-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 20, 2019
  • ISBN 978-3-030-28664-4
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Stochastic Models, Statistics and Their Applications
Book Subtitle
Dresden, Germany, March 2019
Editors
  • Ansgar Steland
  • Ewaryst Rafajlowicz
  • Ostap Okhrin
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
294
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-28665-1
DOI
10.1007/978-3-030-28665-1
Hardcover ISBN
978-3-030-28664-4
Series ISSN
2194-1009
Edition Number
1
Number of Pages
XVI, 450
Number of Illustrations
39 b/w illustrations, 46 illustrations in colour
Topics