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  • Conference proceedings
  • © 2019

Matrices, Statistics and Big Data

Selected Contributions from IWMS 2016

  • Presents the latest advances in matrix theory and statistics
  • Includes methods for solving big data problems
  • Features contributions by leading experts in the area

Part of the book series: Contributions to Statistics (CONTRIB.STAT.)

Conference series link(s): IWMS: International Workshop on Matrices and Statistics

Conference proceedings info: IWMS 2016.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-xii
  2. Hybrid Model for Recurrent Event Data

    • Ivo Sousa-Ferreira, Ana Maria Abreu
    Pages 23-33
  3. Ingram Olkin (1924–2016): An Appreciation for a People Person

    • Simo Puntanen, George P. H. Styan
    Pages 51-60
  4. A Notion of Positive Definiteness for Arithmetical Functions

    • Mika Mattila, Pentti Haukkanen
    Pages 61-74
  5. Orthogonal Block Structure and Uniformly Best Linear Unbiased Estimators

    • Sandra S. Ferreira, Dário Ferreira, Célia Nunes, Francisco Carvalho, João Tiago Mexia
    Pages 89-98
  6. Hadamard Matrices on Error Detection and Correction: Useful Links to BIBD

    • Carla Francisco, Teresa A. Oliveira, Amílcar Oliveira, Francisco Carvalho
    Pages 99-110
  7. Covariance Matrix Regularization for Banded Toeplitz Structure via Frobenius-Norm Discrepancy

    • Xiangzhao Cui, Zhenyang Li, Jine Zhao, Defei Zhang, Jianxin Pan
    Pages 111-125
  8. Penalized Relative Error Estimation of a Partially Functional Linear Multiplicative Model

    • Tao Zhang, Yuan Huang, Qingzhao Zhang, Shuangge Ma, S. Ejaz Ahmed
    Pages 127-144
  9. High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study

    • S. Ejaz Ahmed, Hwanwoo Kim, Gökhan Yıldırım, Bahadır Yüzbaşı
    Pages 145-175
  10. An Efficient Estimation Strategy in Autoregressive Conditional Poisson Model with Applications to Hospital Emergency Department Data

    • S. Ejaz Ahmed, Khalifa Es-Sebaiy, Abdulkadir Hussein, Idir Ouassou, Anne Snowdon
    Pages 177-190

Other Volumes

  1. Matrices, Statistics and Big Data

About this book

This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016.

The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.


Editors and Affiliations

  • Department of Mathematics and Statistics, Brock University, St. Catharines, Canada

    S. Ejaz Ahmed

  • Departmental Unit of Mathematics and Physics, Polytechnic Institute of Tomar, Tomar, Portugal

    Francisco Carvalho

  • Faculty of Natural Sciences, University of Tampere, Tampere, Finland

    Simo Puntanen

About the editors

S. Ejaz Ahmed is a Professor of Statistics and the Dean of the Faculty of Mathematics and Science at the Brock University, Canada. Previously, he was a Professor and the Head of the Mathematics and Statistics Department at the University of Windsor and University of Regina, both in Canada, as well as an Assistant Professor at the University of Western Ontario. He holds various adjunct professorship positions and has supervised numerous Ph.D. and master students. An elected fellow of the American Statistical Association, he has also organized several workshops, conferences and invited sessions. His areas of expertise include big data analysis, statistical inference, and shrinkage estimation. He has authored several books, edited and co-edited a number of volumes and special issues of scientific journals. He has published a total of more than 150 articles in scientific journals and reviewed over 100 books. He served on the Board of Directors of the Statistical Society ofCanada, and was also the Chairman of its Education Committee. Moreover, he was the Vice President of Communications for the International Society for Business and Industrial Statistics (ISBIS) and a member of the “Discovery Grants Evaluation Group” and the “Grant Selection Committee” of the Natural Sciences and Engineering Research Council of Canada (NSERC).

Francisco Carvalho is a Professor of Statistics, Data Analysis and Econometrics, as well as the Director of the Management School at the Polytechnic Institute of Tomar, Portugal. Apart from being a member of organizing committees of several international conferences, he is also a researcher at the CMA – Center of Applied Mathematics at the New University of Lisbon, Portugal. His scientific work primarily focuses on estimation in linear models.

Simo Puntanen is an Emeritus Docent from the University of Tampere, Finland. He is a founding member of the International Workshop on Matrices and Statistics (IWMS) series (with George P. H. Styan), co-author of two Springer books, editor of several books and special issues of international journals, and a member of several journals’ editorial boards. His scientific output chiefly concerns matrix methods and their applications in linear statistical models.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access