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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
    7. Krzysztof Szajowski
      Pages 187-195
    8. Elena Yudovina, Moulinath Banerjee, George Michailidis
      Pages 197-205
  4. Stochastic Models, Methods and Simulations

    1. Front Matter
      Pages 215-215
    2. Emílio Augusto Coelho-Barros, Jorge Alberto Achcar, Josmar Mazucheli
      Pages 217-224
    3. Michał Balcerek, Aleksander Weron
      Pages 233-240
    4. Paolo Falbo, Juri Hinz, Cristian Pelizzari
      Pages 261-269
    5. Robert Garthoff, Philipp Otto
      Pages 271-281
    6. Matylda Jabłońska-Sabuka, Agnieszka Wyłomańska
      Pages 293-300
    7. Anna T. Lawniczak, Bruno N. Di Stefano, Jason B. Ernst
      Pages 319-326
    8. Roberto Molina de Souza, Jorge Alberto Achcar, Edson Zangiacomi Martinez, Josmar Mazucheli
      Pages 343-350
    9. Christian H. Weiß, Pedro Puig
      Pages 351-359
  5. Algorithms and Applications

    1. Front Matter
      Pages 361-361
    2. Philipp Aschersleben, Martin Wagner, Dominik Wied
      Pages 363-370
    3. Roy Cerqueti, Paolo Falbo, Gianfranco Guastaroba, Cristian Pelizzari
      Pages 371-379
    4. Julien Chevallier, Stéphane Goutte
      Pages 381-389
    5. Urszula Libal, Zygmunt Hasiewicz
      Pages 391-398

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
  • Buy this book on publisher's site
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