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Density Level Sets: Asymptotics, Inference, and Visualization
v1v2 (latest)

Density Level Sets: Asymptotics, Inference, and Visualization

21 April 2015
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
ArXiv (abs)PDFHTML

Papers citing "Density Level Sets: Asymptotics, Inference, and Visualization"

20 / 20 papers shown
Title
Boundary Estimation from Point Clouds: Algorithms, Guarantees and
  Applications
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
Jeff Calder
Sangmin Park
D. Slepčev
3DPC
74
10
0
05 Nov 2021
Optimal subgroup selection
Optimal subgroup selection
Henry W. J. Reeve
T. Cannings
R. Samworth
112
8
0
02 Sep 2021
Slightly Conservative Bootstrap for Maxima of Sums
Slightly Conservative Bootstrap for Maxima of Sums
Hang Deng
58
9
0
31 Jul 2020
Level set and density estimation on manifolds
Level set and density estimation on manifolds
A. Cholaquidis
R. Fraiman
L. Moreno
47
9
0
12 Mar 2020
Scores for Multivariate Distributions and Level Sets
Scores for Multivariate Distributions and Level Sets
Xiaochun Meng
James W. Taylor
Souhaib Ben Taieb
Siran Li
AI4TS
46
3
0
21 Feb 2020
Solution manifold and Its Statistical Applications
Solution manifold and Its Statistical Applications
Swee Hong Chan
106
7
0
13 Feb 2020
Minimax Hausdorff estimation of density level sets
Minimax Hausdorff estimation of density level sets
Alberto Rodríguez-Casal
P. Saavedra-Nieves
50
4
0
07 May 2019
Nonparametric Confidence Regions for Level Sets: Statistical Properties
  and Geometry
Nonparametric Confidence Regions for Level Sets: Statistical Properties and Geometry
Wanli Qiao
W. Polonik
58
17
0
04 Mar 2019
DBSCAN++: Towards fast and scalable density clustering
DBSCAN++: Towards fast and scalable density clustering
J. Jang
Heinrich Jiang
69
69
0
31 Oct 2018
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to
  Intrinsic Volume Dimension
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
Jisu Kim
Jaehyeok Shin
Alessandro Rinaldo
Larry A. Wasserman
95
32
0
13 Oct 2018
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
Heinrich Jiang
J. Jang
Samory Kpotufe
VLMOOD
55
37
0
21 May 2018
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
109
598
0
11 Oct 2017
Averages of Unlabeled Networks: Geometric Characterization and
  Asymptotic Behavior
Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior
E. D. Kolaczyk
Lizhen Lin
S. Rosenberg
Jie Xu
Jackson Walters
69
55
0
08 Sep 2017
Asymptotics and Optimal Bandwidth for Nonparametric Estimation of
  Density Level Sets
Asymptotics and Optimal Bandwidth for Nonparametric Estimation of Density Level Sets
Wanli Qiao
35
5
0
31 Jul 2017
Density Level Set Estimation on Manifolds with DBSCAN
Density Level Set Estimation on Manifolds with DBSCAN
Heinrich Jiang
69
32
0
10 Mar 2017
Nonparametric Inference via Bootstrapping the Debiased Estimator
Nonparametric Inference via Bootstrapping the Debiased Estimator
Yen-Chi Chen
Yen-Chi Chen
60
22
0
22 Feb 2017
Generalized Cluster Trees and Singular Measures
Generalized Cluster Trees and Singular Measures
Yen-Chi Chen
124
17
0
08 Nov 2016
Statistical Inference for Cluster Trees
Statistical Inference for Cluster Trees
Jisu Kim
Yen-Chi Chen
Sivaraman Balakrishnan
Alessandro Rinaldo
Larry A. Wasserman
70
32
0
20 May 2016
Nonparametric modal regression
Nonparametric modal regression
Yen-Chi Chen
Christopher R. Genovese
Robert Tibshirani
Larry A. Wasserman
138
113
0
04 Dec 2014
Asymptotic theory for density ridges
Asymptotic theory for density ridges
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
91
84
0
22 Jun 2014
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