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STAT 200C: High-dimensional Statistics Arash A Amini June 4 2019 1 124 • Classical case: • n� d • Asymptotic assumption: d is fixed and n→∞ • Basic tools: LLN…
On robust regression with high-dimensional predictors Noureddine El Karoui∗, Derek Bean, Peter Bickel†, Chingway Lim and Bin Yu‡ First version: July 13th, 2011 This…
HIGH-DIMENSIONAL ESTIMATION WITH GEOMETRIC CONSTRAINTS YANIV PLAN ROMAN VERSHYNIN AND ELENA YUDOVINA Abstract Consider measuring a vector x ∈ Rn through the inner product…
STAT 200C: High-dimensional Statistics Arash A. Amini May 30, 2018 1 / 57 Table of Contents 1 Sparse linear models Basis Pursuit and restricted null space property Sufficient…
High-dimensional Statistics Pradeep Ravikumar UT Austin Outline 1 High Dimensional Data : Large p small n 2 Sparsity 3 Group Sparsity 4 Low Rank 1 Curse of Dimensionality…
1 Sharp thresholds for high-dimensional and noisy sparsity recovery usingℓ1-constrained quadratic programmming Lasso Martin J. Wainwright1 Abstract— The problem of consistently…
Non-null and Le Cam optimality results Davy Paindaveine · Thomas Verdebout Received: date / Accepted: date Abstract We consider one of the most important problems
High-dimensional Statistical Analysis Pradeep Ravikumar UT Austin Outline 1. Lasso High-dimensional Statistical Analysis 2. Structure Recovery: Sparsistency 3. Parameter…
Submitted to the Annals of Statistics arXiv: arXiv:0000.0000 ON THE CONTRACTION PROPERTIES OF SOME HIGH-DIMENSIONAL QUASI-POSTERIOR DISTRIBUTIONS By Yves F. Atchadé∗…
Statistics for high-dimensional data: Group Lasso and additive models Peter Bühlmann and Sara van de Geer Seminar für Statistik ETH Zürich May 2012 The Group Lasso…
A primer on high-dimensional statistics: Lecture 2 Martin Wainwright UC Berkeley Departments of Statistics and EECS Simons Institute Workshop Bootcamp Tutorials High-level…
Statistics for high-dimensional data: P-values and Stability Selection Peter Bühlmann and Sara van de Geer Seminar für Statistik ETH Zürich May 2012 P-values for high-dimensional…
Sharp thresholds for high-dimensional and noisy recovery of sparsity using ℓ1-constrained quadratic programming Martin J Wainwright Department of Statistics and Department…
UQ for high dimensional problems with a view towards hyperbolic conservation laws Kjetil Olsen Lye ETH Zurich Recap from last time Convergence of Monte Carlo EEX − 1 M…
Slide 1 Al Parker September 14, 2010 Drawing samples from high dimensional Gaussians using polynomials Slide 2 Colin Fox, Physics, University of Otago New Zealand Institute…
ΕΙΣΑΓΩΓΗ ΣΤΙΣ ΠΙΘΑΝΟΤΗΤΕΣ ΚΑΙ ΤΗ ΣΤΑΤΙΣΤΙΚΗ (∆Ι∆ΑΚΤΙΚΕΣ ΣΗΜΕΙΩΣΕΙΣ) Χ. ∆ΑΜΙΑΝΟΥ, Ν. ΠΑΠΑ∆ΑΤΟΣ,…
E b. deconduc ţie b. interzis ă b. devalen ţă T=0 Des.1 + +⊕ + + + ------- - ē T≠0 gol. Des.2 Ec Ee(k) E Ev k Eh(k) ΔEg Des.3 I.FIZICA CORPULUI SOLID 1.Spectrul…
Lecture critique d’article RappelsRappels Bio statistiques Dr MARC CUGGIA MCU-PH Laboratoire d’informatique médicale EA-3888 Plan du cours • Rappels fondamentaux •…
K. P. N. Murthy Statistical Mechanics January 29, 2014 Springer Contents 1 Why should we study statistical mechanics ? . . . . . . . . . . . . . . 1 1.1 Micro-Macro connections…
STAT 516: Multivariate Distributions - Lecture 7: Convergence in Probability and Convergence in DistributionSTAT 516: Multivariate Distributions Lecture 7: Convergence in