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Asymptotic theory for density ridges
v1v2v3 (latest)

Asymptotic theory for density ridges

22 June 2014
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
ArXiv (abs)PDFHTML

Papers citing "Asymptotic theory for density ridges"

24 / 24 papers shown
Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization
Ren Wang
Pengcheng Zhou
66
0
0
07 May 2025
Algorithms for ridge estimation with convergence guarantees
Algorithms for ridge estimation with convergence guarantees
Wanli Qiao
W. Polonik
129
3
0
03 Jan 2025
Estimating a density near an unknown manifold: a Bayesian nonparametric
  approach
Estimating a density near an unknown manifold: a Bayesian nonparametric approach
Clément Berenfeld
Paul Rosa
Judith Rousseau
106
10
0
31 May 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
87
32
0
19 May 2022
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
Yikun Zhang
Yen-Chi Chen
147
1
0
16 Oct 2021
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
100
7
0
02 Jun 2020
Solution manifold and Its Statistical Applications
Solution manifold and Its Statistical Applications
Swee Hong Chan
94
7
0
13 Feb 2020
Fitting a manifold of large reach to noisy data
Fitting a manifold of large reach to noisy data
Charles Fefferman
Sergei Ivanov
Matti Lassas
Hariharan Narayanan
66
24
0
11 Oct 2019
Filaments of crime: Informing policing via thresholded ridge estimation
Filaments of crime: Informing policing via thresholded ridge estimation
Ben Moews
J. R. Argueta
Antonia Gieschen
23
4
0
06 Jul 2019
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
Statistical Inference with Local Optima
Statistical Inference with Local Optima
Yen-Chi Chen
44
9
0
12 Jul 2018
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates
  Under Weak Variance Decay and Application to Functional and Multinomial Data
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional and Multinomial Data
Miles E. Lopes
Zhenhua Lin
Hans-Georg Mueller
114
7
0
12 Jul 2018
Manifold Learning Using Kernel Density Estimation and Local Principal
  Components Analysis
Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis
K. Mohammed
Hariharan Narayanan
41
18
0
11 Sep 2017
Mode-Seeking Clustering and Density Ridge Estimation via Direct
  Estimation of Density-Derivative-Ratios
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
Hiroaki Sasaki
Takafumi Kanamori
Aapo Hyvarinen
Gang Niu
Masashi Sugiyama
41
8
0
06 Jul 2017
Nonparametric Inference via Bootstrapping the Debiased Estimator
Nonparametric Inference via Bootstrapping the Debiased Estimator
Yen-Chi Chen
Yen-Chi Chen
43
22
0
22 Feb 2017
Generalized Cluster Trees and Singular Measures
Generalized Cluster Trees and Singular Measures
Yen-Chi Chen
114
17
0
08 Nov 2016
Finding Singular Features
Finding Singular Features
Christopher R. Genovese
M. Perone-Pacifico
I. Verdinelli
Larry A. Wasserman
37
6
0
01 Jun 2016
Manifold unwrapping using density ridges
Manifold unwrapping using density ridges
Jonas Nordhaug Myhre
M. Shaker
Devrim Kaba
Robert Jenssen
Deniz Erdogmus
36
2
0
06 Apr 2016
Multiple penalized principal curves: analysis and computation
Multiple penalized principal curves: analysis and computation
Slav Kirov
D. Slepčev
33
9
0
15 Dec 2015
Statistical Inference using the Morse-Smale Complex
Statistical Inference using the Morse-Smale Complex
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
67
30
0
29 Jun 2015
Classification methods for Hilbert data based on surrogate density
Classification methods for Hilbert data based on surrogate density
E. Bongiorno
A. Goia
44
27
0
11 Jun 2015
Optimal Ridge Detection using Coverage Risk
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen
Christopher R. Genovese
S. Ho
Larry A. Wasserman
58
16
0
07 Jun 2015
Density Level Sets: Asymptotics, Inference, and Visualization
Density Level Sets: Asymptotics, Inference, and Visualization
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
76
99
0
21 Apr 2015
Nonparametric modal regression
Nonparametric modal regression
Yen-Chi Chen
Christopher R. Genovese
Robert Tibshirani
Larry A. Wasserman
136
113
0
04 Dec 2014
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