High-Dimensional Statistics
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17

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Published By Cambridge University Press

9781108627771, 9781108498029

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Basic tail and concentration bounds

High-Dimensional Statistics ◽

10.1017/9781108627771.002 ◽

2019 ◽

pp. 21-57

Keyword(s):

Concentration Bounds

Graphical models for high-dimensional data

High-Dimensional Statistics ◽

10.1017/9781108627771.011 ◽

2019 ◽

pp. 347-382

Keyword(s):

Graphical Models ◽

High Dimensional Data ◽

High Dimensional

Decomposability and restricted strong convexity

High-Dimensional Statistics ◽

10.1017/9781108627771.009 ◽

2019 ◽

pp. 259-311

Keyword(s):

Strong Convexity

Nonparametric least squares

High-Dimensional Statistics ◽

10.1017/9781108627771.013 ◽

2019 ◽

pp. 416-452

Keyword(s):

Least Squares

Metric entropy and its uses

High-Dimensional Statistics ◽

10.1017/9781108627771.005 ◽

2019 ◽

pp. 121-158

Keyword(s):

Metric Entropy

Concentration of measure

High-Dimensional Statistics ◽

10.1017/9781108627771.003 ◽

2019 ◽

pp. 58-97

Keyword(s):

Concentration Of Measure

Subject index

High-Dimensional Statistics ◽

10.1017/9781108627771.016 ◽

2019 ◽

pp. 540-547

Matrix estimation with rank constraints

High-Dimensional Statistics ◽

10.1017/9781108627771.010 ◽

2019 ◽

pp. 312-346

Keyword(s):

Matrix Estimation ◽

Rank Constraints

Random matrices and covariance estimation

High-Dimensional Statistics ◽

10.1017/9781108627771.006 ◽

2019 ◽

pp. 159-193

Keyword(s):

Random Matrices ◽

Covariance Estimation

Minimax lower bounds

High-Dimensional Statistics ◽

10.1017/9781108627771.015 ◽

2019 ◽

pp. 485-523

Keyword(s):

Lower Bounds