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Springer Proceedings in Mathematics & Statistics
cover

Analytical Methods in Statistics

AMISTAT, Liberec, Czech Republic, September 2019

Editors: Maciak, Matúš, Pešta, Michal, Schindler, Martin (Eds.)

  • Highlights modern analytical methods in statistics and their extensions
  • Focuses on estimation, asymptotics, robustness, and stochastics models
  • Gathers contributions by experts in the field
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eBook 117,69 €
price for Korea, Republic of (South Korea) (gross)
  • The eBook version of this title will be available soon
  • 까지: September 14, 2020
  • ISBN 978-3-030-48814-7
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Hardcover 139,99 €
price for Korea, Republic of (South Korea) (gross)
  • 까지: September 14, 2020
  • ISBN 978-3-030-48813-0
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  • Immediate ebook access, if available*, with your print order
About this book

This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019. Real-life problems demand statistical solutions, which in turn require new and profound mathematical methods. As such, the book is not only a collection of solved problems but also a source of new methods and their practical extensions. The authoritative contributions focus on analytical methods in statistics, asymptotics, estimation and Fisher information, robustness, stochastic models and inequalities, and other related fields; further, they address e.g. average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.


About the authors

Matúš Maciak is an Assistant Professor at the Department of Probability and Mathematical Statistics, Charles University, Prague, Czech Republic. His research interests include innovative statistical approaches concerning nonparametric and semiparametric regression models, sparse fitting via convex optimization (atomic pursuit / LASSO), estimation under various shape constraints, robustness and quantiles, and changepoint detection and estimation within various data structures. He also has practical experience in applied statistics, especially in empirical econometrics and finance, insurance, ecology, and the medical sciences.

Michal Pešta is an Associate Professor at the Department of Probability and Mathematical Statistics, Charles University, Prague, Czech Republic. His research interests include asymptotic methods for changepoint, weak dependence, copulae, resampling methods, panel data, nonparametric regression, and errors-in-variables modeling. He is also interested in developing complex statistical methodology frameworks for various real-life settings, including empirical econometrics, finance, and non-life insurance.

Martin Schindler is an Assistant Professor of Applied Mathematics at the Technical University of Liberec, Czech Republic. His research interests include robust and nonparametric statistics, statistical computing and simulations. He has also worked on various inference procedures based on regression rank scores used in both linear and nonlinear models. During his postdoctoral studies at the University of Tampere he worked on nonparametric procedures for microarray data.


Buy this book

eBook 117,69 €
price for Korea, Republic of (South Korea) (gross)
  • The eBook version of this title will be available soon
  • 까지: September 14, 2020
  • ISBN 978-3-030-48814-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 139,99 €
price for Korea, Republic of (South Korea) (gross)
  • 까지: September 14, 2020
  • ISBN 978-3-030-48813-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
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Bibliographic Information

Bibliographic Information
Book Title
Analytical Methods in Statistics
Book Subtitle
AMISTAT, Liberec, Czech Republic, September 2019
Editors
  • Matúš Maciak
  • Michal Pešta
  • Martin Schindler
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
329
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-48814-7
DOI
10.1007/978-3-030-48814-7
Hardcover ISBN
978-3-030-48813-0
Series ISSN
2194-1009
Edition Number
1
Number of Pages
VIII, 147
Number of Illustrations
6 b/w illustrations, 8 illustrations in colour
Topics

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