Stochastic Models, Statistics and Their Applications

Wrocław, Poland, February 2015

  • Ansgar Steland
  • Ewaryst Rafajłowicz
  • Krzysztof Szajowski
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 122)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Plenary Papers

    1. Front Matter
      Pages 1-1
    2. Šárka Hudecová, Marie Hušková, Simos Meintanis
      Pages 11-18
  3. Theory and Related Topics

    1. Front Matter
      Pages 29-29
    2. Hong Chen, Maik Döring, Uwe Jensen
      Pages 39-47
    3. Tina Felber, Michael Kohler, Adam Krzyżak
      Pages 67-74
    4. Ulrike Graßhoff, Heinz Holling, Rainer Schwabe
      Pages 75-81
    5. Zuzana Prášková
      Pages 129-137
    6. Guillaume Sagnol, Radoslav Harman
      Pages 149-157

About these proceedings

Introduction

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering.

Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few.

This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.

Keywords

Big Data Change-Point Analysis and Detection Spatial and High-Dimensional Statistics Statistical Inference Statistics for Stochastic Processes Time Series Analysis

Editors and affiliations

  • Ansgar Steland
    • 1
  • Ewaryst Rafajłowicz
    • 2
  • Krzysztof Szajowski
    • 3
  1. 1.Institute of StatisticsRWTH Aachen UniversityAachenGermany
  2. 2.Dept. of Computer Engineering, Control and RoboticsWrocław University of TechnologyWrocławPoland
  3. 3.Inst. of Mathematics and Computer ScienceWrocław University of TechnologyWrocławPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13881-7
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-13880-0
  • Online ISBN 978-3-319-13881-7
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • About this book