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Statistics and Data Science

Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings

  • Hien Nguyen
Conference proceedings RSSDS 2019

Part of the Communications in Computer and Information Science book series (CCIS, volume 1150)

Table of contents

  1. Front Matter
    Pages i-x
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Emi Tanaka, Francis K. C. Hui
      Pages 3-21
    3. Faïcel Chamroukhi, Florian Lecocq, Hien D. Nguyen
      Pages 42-56
    4. Geoffrey J. McLachlan, Sharon X. Lee
      Pages 57-67
    5. Florence Forbes, Alexis Arnaud, Benjamin Lemasson, Emmanuel Barbier
      Pages 81-95
  3. Contributing Papers

    1. Front Matter
      Pages 109-109
    2. Paul Kabaila, Nishika Ranathunga
      Pages 130-139
    3. Ainura Tursunalieva, Irene Hudson, Geoff Chase
      Pages 148-161
    4. D. Vicendese, L. Te Marvelde, P. D. McNair, K. Whitfield, D. R. English, S. Ben Taieb et al.
      Pages 162-182
    5. Nazanin Bakhshinejad, Ali Hamzeh
      Pages 183-197
    6. Gem Ralph Caracol, Jin-gyu Choi, Jae-Sung Park, Byung-chul Son, Sin-soo Jeon, Kwan-Sung Lee et al.
      Pages 198-210
    7. Daniel Fryer, Andriy Olenko
      Pages 211-225
    8. Karol Binkowski, Peilun He, Nino Kordzakhia, Pavel Shevchenko
      Pages 226-237
    9. Dilanka S. Dedduwakumara, Luke A. Prendergast
      Pages 238-252
    10. Paul Kabaila, Rheanna Mainzer
      Pages 253-262
  4. Back Matter
    Pages 263-263

About these proceedings

Introduction

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019.

The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability. 

Keywords

artificial intelligence bayes theorem bayesian clustering computer operating systems data science databases estimation machine learning maximum likelihood maximum likelihood estimation neural networks probability statistical software visualization

Editors and affiliations

  1. 1.La Trobe UniversityBundooraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-1960-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-15-1959-8
  • Online ISBN 978-981-15-1960-4
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site