Some themes in high-dimensional statistics. (English) Zbl 1384.62165
Frigessi, Arnoldo (ed.) et al., Statistical analysis for high dimensional data. The Abel symposium 2014. Selected papers based on the presentations at the 11th Abel symposium, Kabelvåg, Norway, May 5 – May 9, 2014. Cham: Springer (ISBN 978-3-319-27097-5/hbk; 978-3-319-27099-9/ebook). Abel Symposia 11, 1-13 (2016).
Summary: The symposium covered a broad spectrum of themes on High-Dimensional Statistics. We present here a short overview of some of the topics discussed at the symposium: high-dimensional inference in regression, high-dimensional causal inference, Bayesian variable selection for high-dimensional analysis, and integration of multiple high-dimensional data, but this categorization is not exhaustive. The contributions by some of the participants, appearing as chapters in the book, include both in-depth reviews and development of new statistical methodology, applications and theory.
For the entire collection see [Zbl 1341.62038].
For the entire collection see [Zbl 1341.62038].
MSC:
| 62Hxx | Multivariate analysis |
| 62-02 | Research exposition (monographs, survey articles) pertaining to statistics |
