Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 /
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situ...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Έκδοση: | 1st ed. 2016. |
| Σειρά: | Abel Symposia,
11 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Some Themes in High-Dimensional Statistics: A. Frigessi et al
- Laplace Appoximation in High-Dimensional Bayesian Regression: R. Barber, M. Drton et al
- Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration: L.C. Bergersen, I. Glad et al
- Spectral Clustering and Block Models: a Review and a new Algorithm: S. Bhattacharyya et al
- Bayesian Hierarchical Mixture Models: L. Bottelo et al
- iBATCGH; Integrative Bayesian Analysis of Transcriptomic and CGH Data: Cassese, M. Vannucci et al
- Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure: A.J. Cron, M. West
- Combining Single and Paired End RNA-seq Data for Differential Expression Analysis: F. Feng, T.Speed et al
- An Imputation Method for Estimation the Learning Curve in Classification Problems: E. Laber et al
- Baysian Feature Allocation Models for Tumor Heterogeneity: J. Lee, P. Mueller et al
- Bayesian Penalty Mixing: The Case of a Non-Separable Penalty: V. Rockova et al
- Confidence Intervals for Maximin Effects in Inhomogeneous Large Scale Data: D. Rothenhausler et al
- Chisquare Confidence Sets in High-Dimensional Regression: S. van de Geer et al. .
