Opening book details…
Can I read Analysis of Multivariate and High-Dimensional Data (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32) on EtoBox?
Analysis of Multivariate and High-Dimensional Data (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32) by Inge Koch is a nonfiction available to read on EtoBox.
What is Analysis of Multivariate and High-Dimensional Data (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32) about?
Big data poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed "safe operating zone" for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/ graduate students in statistics and researchers in data-rich disciplines
Who reads Analysis of Multivariate and High-Dimensional Data (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Inge Koch
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2013
- Language
- EN
- ISBN
- 9781139025805
- Category
- nonfiction
- Subjects
- Mathematics, Stem
Other editions & translations
More by Inge Koch
Similar books
- Large Sample Covariance Matrices and High-Dimensional Data Analysis (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 39) — Bai, Zhidong; Yao, Jianfeng; Zheng, Shurong (2015)
- Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40) — Evarist Giné, University of Connecticut, Richard Nickl, University of Cambridge (2016)
- Regression for Categorical Data (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 34) — Gerhard Tutz, Ludwig-Maximilians-Universität Munchen (2012)
- Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10) — John Maindonald, John Braun, J. H. (2006)
- Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44) — Ghoshal, Subhashis; Vaart, Aad W. van der (2017)
- Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16) — Smith, Richard L.; Young, G. A (2010)