Apple Books 上的《Statistics for High-Dimensional Data》
Frontiers | Ridge Penalization in High-Dimensional Testing With Applications to Imaging Genetics
The Art of Effective Visualization of Multi-dimensional Data | by Dipanjan (DJ) Sarkar | Towards Data Science
High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications: Wright, John, Ma, Yi: 9781108489737: Amazon.com: Books
The Art of Effective Visualization of Multi-dimensional Data | by Dipanjan (DJ) Sarkar | Towards Data Science
Digital medicine and the curse of dimensionality | npj Digital Medicine
Statistics for High-Dimensional Data: Methods, Theory and Applications - Peter Bühlmann, Sara van de Geer - Google Books
Supervised dimensionality reduction for big data | Nature Communications
Amazon.com: Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics): 9783642201912: Bühlmann, Peter, van de Geer, Sara: Books
Cambridge University Press 978-1-108-49802-9 — High-Dimensional Statistics Martin J. Wainwright Frontmatter More Information w
36-755: Advanced Statistical Theory Fall 2016
Statistics For High Dimensional Data Methods Theory And Applications By Peter Buhlmann Sara Van De Geer
Statistics for Big Data (61209) Instructors: D.KARLIS
High-dimensional statistics - Wikipedia
High-Dimensional Statistics
Amazon.com: Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics): 9783642201912: Bühlmann, Peter, van de Geer, Sara: Books
Visualizing structure and transitions in high-dimensional biological data | Nature Biotechnology
Amazon.com: Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics): 9783642201912: Bühlmann, Peter, van de Geer, Sara: Books
The uneasy relationship between deep learning and (classical) statistics – Windows On Theory
Comparing methods for statistical inference with model uncertainty | PNAS
Data Science research group, Department of Mathematics TUM - Department of Mathematics
Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data - ScienceDirect
High-Dimensional Statistics | Mathematics | MIT OpenCourseWare
High-Dimensional Probability
Communications in Statistics - Theory and Methods: Vol 52, No 18 (Current issue)
Amazon.com: Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics): 9783642201912: Bühlmann, Peter, van de Geer, Sara: Books
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