pith. sign in

Larry Wasserman

Identifiers

  • name variant Larry Wasserman 0.60 · backfill

Papers (163)

  1. Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters stat.AP · 2025 · author #6
  2. Causal Geodesy: Counterfactual Estimation Along the Path Between Correlation and Causation stat.ME · 2025 · author #2
  3. Robust Simulation Based Inference stat.ME · 2025 · author #3
  4. Disentangled Feature Importance stat.ML · 2025 · author #3
  5. Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives math.ST · 2025 · author #3
  6. Stochastic interventions, sensitivity analysis, and optimal transport stat.ME · 2024 · author #5
  7. Multidimensional Deconvolution with Profiling hep-ph · 2024 · author #6
  8. PHYSTAT Informal Review: Marginalizing versus Profiling of Nuisance Parameters physics.data-an · 2024 · author #2
  9. Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes stat.ME · 2024 · author #4
  10. Double Cross-fit Doubly Robust Estimators: Beyond Series Regression math.ST · 2024 · author #4
  11. Semi-Supervised U-statistics math.ST · 2024 · author #2
  12. Central Limit Theorems for Smooth Optimal Transport Maps math.PR · 2023 · author #4
  13. Conservative Inference for Counterfactuals stat.ME · 2023 · author #3
  14. Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions stat.ME · 2023 · author #3
  15. Simultaneous inference for generalized linear models with unmeasured confounders stat.ME · 2023 · author #2
  16. Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments stat.ME · 2023 · author #4
  17. Nearly Minimax Optimal Wasserstein Conditional Independence Testing math.ST · 2023 · author #2
  18. Conditional Independence Testing for Discrete Distributions: Beyond $\chi^2$- and $G$-tests math.ST · 2023 · author #4
  19. Robust Universal Inference For Misspecified Models stat.ME · 2023 · author #3
  20. The Fundamental Limits of Structure-Agnostic Functional Estimation math.ST · 2023 · author #3
  21. Feature Importance: A Closer Look at Shapley Values and LOCO stat.ME · 2023 · author #2
  22. Sensitivity Analysis for Marginal Structural Models stat.ME · 2022 · author #4
  23. Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport stat.AP · 2022 · author #5
  24. Median Regularity and Honest Inference math.ST · 2022 · author #3
  25. Minimax rates for heterogeneous causal effect estimation math.ST · 2022 · author #4
  26. Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates stat.ME · 2022 · author #5
  27. Local permutation tests for conditional independence math.ST · 2021 · author #4
  28. Data fission: splitting a single data point stat.ME · 2021 · author #3
  29. Decorrelated Variable Importance stat.ME · 2021 · author #2
  30. Universal Inference Meets Random Projections: A Scalable Test for Log-concavity stat.ME · 2021 · author #3
  31. Plugin Estimation of Smooth Optimal Transport Maps math.ST · 2021 · author #4
  32. The HulC: Confidence Regions from Convex Hulls math.ST · 2021 · author #3
  33. Gaussian Universal Likelihood Ratio Testing stat.ME · 2021 · author #4
  34. Forest Guided Smoothing stat.ML · 2021 · author #2
  35. Causal Inference in the Time of Covid-19 stat.ME · 2021 · author #4
  36. Semiparametric counterfactual density estimation stat.ME · 2021 · author #3
  37. Interactive identification of individuals with positive treatment effect while controlling false discoveries stat.ME · 2021 · author #2
  38. Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests stat.AP · 2021 · author #4
  39. Interactive rank testing by betting stat.ME · 2020 · author #3
  40. Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension math.ST · 2020 · author #3
  41. The huge Package for High-dimensional Undirected Graph Estimation in R stat.ML · 2020 · author #5
  42. Minimax optimality of permutation tests math.ST · 2020 · author #3
  43. Familywise Error Rate Control by Interactive Unmasking stat.ME · 2020 · author #3
  44. PLLay: Efficient Topological Layer based on Persistence Landscapes cs.LG · 2020 · author #6
  45. Trend Filtering -- II. Denoising Astronomical Signals with Varying Degrees of Smoothness astro-ph.IM · 2020 · author #4
  46. Minimax Optimal Conditional Independence Testing math.ST · 2020 · author #3
  47. Universal Inference math.ST · 2019 · author #1
  48. Gaussian Mixture Clustering Using Relative Tests of Fit stat.ME · 2019 · author #3
  49. Minimax Confidence Intervals for the Sliced Wasserstein Distance math.ST · 2019 · author #3
  50. Interactive Martingale Tests for the Global Null stat.ME · 2019 · author #4
  51. Trend Filtering -- I. A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy astro-ph.IM · 2019 · author #4
  52. Predictive clustering stat.ME · 2019 · author #3
  53. Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex math.AT · 2019 · author #5
  54. Hybrid Wasserstein Distance and Fast Distribution Clustering stat.ME · 2018 · author #2
  55. Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension math.ST · 2018 · author #4
  56. Distribution-Free Prediction Sets for Two-Layer Hierarchical Models stat.ME · 2018 · author #2
  57. Cautious Deep Learning stat.ML · 2018 · author #3
  58. Analysis of a Mode Clustering Diagram stat.ME · 2018 · author #2
  59. Robust Multivariate Nonparametric Tests via Projection-Averaging math.ST · 2018 · author #3
  60. Hypothesis Testing for High-Dimensional Multinomials: A Selective Review stat.ML · 2017 · author #2
  61. Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates math.ST · 2017 · author #2
  62. Estimating the Reach of a Manifold math.ST · 2017 · author #8
  63. Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference math.ST · 2016 · author #2
  64. Topological Data Analysis stat.ME · 2016 · author #1
  65. Least Ambiguous Set-Valued Classifiers with Bounded Error Levels stat.ME · 2016 · author #3
  66. Results from the 2014 November 15th multi-chord stellar occultation by the TNO (229762) 2007 UK$_{126}$ astro-ph.EP · 2016 · author #25
  67. Finding Singular Features stat.ME · 2016 · author #4
  68. Statistical Inference for Cluster Trees math.ST · 2016 · author #5
  69. Minimax Rates for Estimating the Dimension of a Manifold math.ST · 2016 · author #3
  70. Distribution-Free Predictive Inference For Regression stat.ME · 2016 · author #5
  71. Classification accuracy as a proxy for two sample testing cs.LG · 2016 · author #4
  72. Minimax Lower Bounds for Linear Independence Testing stat.ML · 2016 · author #4
  73. Statistical Analysis of Persistence Intensity Functions stat.ME · 2015 · author #4
  74. Cosmic Web Reconstruction through Density Ridges: Catalogue astro-ph.CO · 2015 · author #7
  75. Detecting Effects of Filaments on Galaxy Properties in the Sloan Digital Sky Survey III astro-ph.GA · 2015 · author #9
  76. Investigating Galaxy-Filament Alignments in Hydrodynamic Simulations using Density Ridges astro-ph.CO · 2015 · author #9
  77. Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing math.ST · 2015 · author #5
  78. Statistical Inference using the Morse-Smale Complex math.ST · 2015 · author #3
  79. Uniform Asymptotic Inference and the Bootstrap After Model Selection math.ST · 2015 · author #4
  80. Optimal Ridge Detection using Coverage Risk stat.ME · 2015 · author #4
  81. An Analysis of Active Learning With Uniform Feature Noise stat.ML · 2015 · author #4
  82. Risk Bounds For Mode Clustering math.ST · 2015 · author #4
  83. Density Level Sets: Asymptotics, Inference, and Visualization stat.ME · 2015 · author #3
  84. Cosmic Web Reconstruction through Density Ridges: Method and Algorithm astro-ph.CO · 2015 · author #5
  85. Robust Topological Inference: Distance To a Measure and Kernel Distance math.ST · 2014 · author #6
  86. Nonparametric modal regression stat.ME · 2014 · author #4
  87. On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives math.ST · 2014 · author #5
  88. Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations stat.ML · 2014 · author #4
  89. On Estimating $L_2^2$ Divergence stat.ML · 2014 · author #4
  90. The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions stat.ME · 2014 · author #4
  91. Estimating the distribution of Galaxy Morphologies on a continuous space astro-ph.GA · 2014 · author #4
  92. Asymptotic theory for density ridges stat.ME · 2014 · author #3
  93. Feature Selection For High-Dimensional Clustering math.ST · 2014 · author #1
  94. Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures math.ST · 2014 · author #3
  95. On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions stat.ML · 2014 · author #5
  96. Subsampling Methods for Persistent Homology math.AT · 2014 · author #6
  97. Generalized Mode and Ridge Estimation stat.ME · 2014 · author #3
  98. A Comprehensive Approach to Mode Clustering stat.ME · 2014 · author #3
  99. Discussion: "A significance test for the lasso" math.ST · 2014 · author #1
  100. Functional Regression for Quasar Spectra stat.ME · 2014 · author #7
  101. Nonparametric Estimation of Renyi Divergence and Friends stat.ML · 2014 · author #4
  102. Nonparametric 3D map of the IGM using the Lyman-alpha forest astro-ph.IM · 2014 · author #7
  103. Nonparametric Inference For Density Modes stat.ME · 2013 · author #4
  104. Uncertainty Measures and Limiting Distributions for Filament Estimation stat.ME · 2013 · author #3
  105. Stochastic Convergence of Persistence Landscapes and Silhouettes math.ST · 2013 · author #5
  106. On the Bootstrap for Persistence Diagrams and Landscapes math.AT · 2013 · author #6
  107. Orbital Parameters for the Two Young Binaries VSB 111 and VSB 126 astro-ph.SR · 2013 · author #3
  108. Estimating Undirected Graphs Under Weak Assumptions math.ST · 2013 · author #1
  109. Tight Lower Bounds for Homology Inference stat.ML · 2013 · author #4
  110. Cluster Trees on Manifolds stat.ML · 2013 · author #5
  111. Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation stat.ML · 2013 · author #3
  112. Statistical Analysis of Metric Graph Reconstruction math.ST · 2013 · author #3
  113. Confidence sets for persistence diagrams math.ST · 2013 · author #4
  114. A Conformal Prediction Approach to Explore Functional Data stat.ML · 2013 · author #3
  115. Distribution-Free Distribution Regression stat.ML · 2013 · author #4
  116. Nonparametric ridge estimation math.ST · 2012 · author #4
  117. Density-sensitive semisupervised inference math.ST · 2012 · author #3
  118. Distribution Free Prediction Bands stat.ME · 2012 · author #2
  119. Differential Privacy for Functions and Functional Data stat.ML · 2012 · author #3
  120. High Dimensional Semiparametric Gaussian Copula Graphical Models stat.ML · 2012 · author #5
  121. Frasian Inference stat.ME · 2012 · author #1
  122. Sparse Nonparametric Graphical Models stat.ML · 2012 · author #3
  123. Minimax Rates for Homology Inference stat.ML · 2011 · author #5
  124. Random Differential Privacy stat.ME · 2011 · author #3
  125. Adaptive Semisupervised Inference math.ST · 2011 · author #3
  126. Efficient Nonparametric Conformal Prediction Regions math.ST · 2011 · author #3
  127. Manifold estimation and singular deconvolution under Hausdorff loss math.ST · 2011 · author #4
  128. An Unbiased Method of Modeling the Local Peculiar Velocity Field with Type Ia Supernovae astro-ph.CO · 2011 · author #3
  129. Stability of Density-Based Clustering stat.ML · 2010 · author #4
  130. Genome-Wide Significance Levels and Weighted Hypothesis Testing stat.ME · 2010 · author #2
  131. Union Support Recovery in Multi-task Learning stat.ML · 2010 · author #3
  132. Minimax Manifold Estimation stat.ML · 2010 · author #4
  133. Graph-Valued Regression stat.ML · 2010 · author #4
  134. Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models stat.ML · 2010 · author #3
  135. Unbiased Inclination Distributions for Objects in the Kuiper Belt astro-ph.EP · 2010 · author #7
  136. The Geometry of Nonparametric Filament Estimation math.ST · 2010 · author #4
  137. Structured, sparse regression with application to HIV drug resistance stat.ME · 2010 · author #4
  138. Forest Density Estimation stat.ML · 2010 · author #6
  139. Revisiting Marginal Regression math.ST · 2009 · author #3
  140. Generalized density clustering math.ST · 2009 · author #2
  141. The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs stat.ML · 2009 · author #3
  142. Differential Privacy with Compression stat.ML · 2009 · author #3
  143. A statistical framework for differential privacy math.ST · 2008 · author #1
  144. Spectral Connectivity Analysis stat.ME · 2008 · author #2
  145. Rejoinder of: Treelets--An adaptive multi-scale basis for spare unordered data stat.AP · 2008 · author #3
  146. On the path density of a gradient field math.ST · 2008 · author #4
  147. Inference for the dark energy equation of state using Type IA supernova data astro-ph · 2008 · author #3
  148. Discussion of: Statistical analysis of an archeological find stat.AP · 2008 · author #2
  149. Rodeo: Sparse, greedy nonparametric regression math.ST · 2008 · author #2
  150. Time Varying Undirected Graphs stat.ML · 2008 · author #3
  151. Sparse Additive Models math.ST · 2007 · author #4
  152. Treelets--An adaptive multi-scale basis for sparse unordered data stat.ME · 2007 · author #3
  153. Compressed Regression stat.ML · 2007 · author #3
  154. Mapping the Cosmological Confidence Ball Surface astro-ph · 2007 · author #6
  155. High-dimensional variable selection math.ST · 2007 · author #1
  156. Adaptive Confidence Bands math.ST · 2007 · author #2
  157. Improving power in genome-wide association studies: weights tip the scale math.ST · 2007 · author #3
  158. Correlation-sharing for detection of differential gene expression math.ST · 2006 · author #2
  159. Weighted Hypothesis Testing math.ST · 2006 · author #1
  160. Rodeo: Sparse Nonparametric Regression in High Dimensions math.ST · 2005 · author #2
  161. Confidence sets for nonparametric wavelet regression math.ST · 2005 · author #2
  162. A stochastic process approach to false discovery control math.ST · 2004 · author #2
  163. The nearby M-dwarf system Gliese 866 revisited astro-ph · 1999 · author #6

Mentions

  • 2307.04034 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2508.08499 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2508.02404 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2506.19025 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2305.04116 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2403.15175 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2404.09119 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2309.07261 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2409.10421 #6 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2411.14285 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2309.10792 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2312.12407 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2309.00706 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2208.02807 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2107.12364 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2102.10778 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2404.17180 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2111.09254 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2402.18921 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2201.13451 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2203.00837 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2112.11079 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2308.05373 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2310.12757 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2105.14577 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2308.08672 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2303.05981 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2102.07679 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2104.14676 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1912.11436 #1 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2210.04681 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2206.02954 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2003.13208 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2009.05892 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1909.07862 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1809.07441 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2001.03552 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1908.07151 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2112.11666 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2111.10853 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2007.09751 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2103.04472 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2001.03039 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2002.08545 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2103.05092 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1909.07339 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2102.12034 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2002.02778 #6 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 2006.14781 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1903.06955 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1602.02210 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1810.05935 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1605.01011 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1903.08125 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1910.02566 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1803.00715 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1705.04565 #8 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1805.09460 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1812.11026 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1609.00451 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1805.04187 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1611.05401 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1712.06120 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1506.06266 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1706.10003 #2 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1506.08826 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1604.04173 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1605.06416 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1509.06376 #9 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1608.01030 #25 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1609.08227 #1 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1504.05438 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1509.06443 #7 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1606.00265 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1412.1716 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1601.06259 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1406.1780 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1508.04149 #9 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1406.5663 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1510.02502 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1501.05303 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1508.00655 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1411.4342 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1401.1867 #7 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1309.6985 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1506.02278 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1103.1603 #3 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1505.04215 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1005.1719 #7 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1505.00482 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1003.5536 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1412.7197 #6 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1411.6314 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1406.2083 #5 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1303.7117 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1410.8372 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1212.5156 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1408.1187 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1406.7536 #4 · arxiv_oai · confidence 0.70 Larry Wasserman
  • 1406.2240 #1 · arxiv_oai · confidence 0.70 Larry Wasserman

Frequent Coauthors