Axel Munk

Statistics and Probability · 2000–2017

A researcher in the Science corpus: 13 papers; trusts 66 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 83 citations into it; #1,870 of 12,932 by trust here, #2,108 by citations
• Artificial Intelligence — 34 citations into it; #20,633 of 35,345 by trust here, #22,463 by citations
• Applied Mathematics — 21 citations into it; #2,040 of 7,620 by trust here, #3,100 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Molecular Biology — 17 citations into it; #3,054 of 17,773 by trust here, #13,009 by citations
• Geometry and Topology — 15 citations into it
• Control and Systems Engineering — 14 citations into it
• Computational Mechanics — 11 citations into it

Whom Axel Munk trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Werner Römisch
2. Marco Cuturi
3. Cédric Villani
4. Matt P. Wand
5. Paul R. Rosenbaum
6. Peter J. Bickel
7. Patrick D. Schloss
8. Yoav Benjamini
9. Oliver Johnson
10. David L. Donoho

Who trusts Axel Munk overall

1. Victor M. Panaretos
2. Charles Truong
3. Yoav Zemel
4. Jeffrey W. Miller
5. Eustasio del Barrio
6. Stephan F. Huckemann
7. Laurent Oudre
8. Marc Hallin
9. Holger Dette
10. Mengjia Yu

Papers from Axel Munk's perspective

Ordered by how strongly the researchers Axel Munk trusts endorse each paper. Same corpus, a different order for every researcher.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
2. Regression Shrinkage and Selection via the Lasso
3. Spline Models for Observational Data
4. Topics in Optimal Transportation
5. Estimating the Dimension of a Model
6. The Earth Mover's Distance as a Metric for Image Retrieval
7. THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION
8. Kernel Smoothing
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests (2000) — 79 citations
• Multiscale change point inference (2013) — 368 citations
• Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications (2017) — 67 citations
• Non‐parametric confidence bands in deconvolution density estimation (2007) — 96 citations
• Inference for empirical Wasserstein distances on finite spaces (2016) — 185 citations
• Consistency and rates of convergence of nonlinear Tikhonov regularization with random noise (2004) — 87 citations
• Identifiability of Finite Mixtures of Elliptical Distributions (2006) — 108 citations
• Heterogeneous change point inference (2015) — 89 citations
• Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder. (2010) — 107 citations
• Consistencies and rates of convergence of jump-penalized least squares estimators (2009) — 187 citations
• INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS (2007) — 177 citations
• Hidden Markov models for circular and linear-circular time series (2006) — 109 citations
• On difference‐based variance estimation in nonparametric regression when the covariate is high dimensional (2005) — 97 citations