Statistics

Authors and titles for January 2021

[301] arXiv:2101.08628 [pdf, other]

Title: Computation of quantile sets for bivariate data

Andreas H Hamel, Daniel Kostner

Comments: 32 pages, 13 figures, 1 table

Subjects: Statistics Theory (math.ST)

[302] arXiv:2101.08639 [pdf, other]

Title: A General Framework of Online Updating Variable Selection for Generalized Linear Models with Streaming Datasets

Xiaoyu Ma, Lu Lin, Yujie Gai

Comments: 35 pages, 2 figures, 13 tables

Subjects: Methodology (stat.ME)

[303] arXiv:2101.08765 [pdf, other]

Title: Robust Differential Abundance Test in Compositional Data

Shulei Wang

Subjects: Methodology (stat.ME); Statistics Theory (math.ST); Quantitative Methods (q-bio.QM); Applications (stat.AP)

[304] arXiv:2101.08861 [pdf, other]

Title: Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods

Lu Zhang, Wenpin Tang, Sudipto Banerjee

Comments: 16 pages, 4 figures

Subjects: Statistics Theory (math.ST)

[305] arXiv:2101.08917 [pdf, other]

Title: SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples

Anshoo Tandon, Aldric H. J. Yuan, Vincent Y. F. Tan

Comments: 23 pages, 14 figures

Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)

[306] arXiv:2101.08925 [pdf, other]

Title: Differentially Private SGD with Non-Smooth Losses

Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang

Comments: 29 pages, 1 table, 1 figure

Journal-ref: Applied and Computational Harmonic Analysis 56 (2022): 306-336

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[307] arXiv:2101.08951 [pdf, other]

Title: Increasing Cluster Size Asymptotics for Nested Error Regression Models

Ziyang Lyu, A.H. Welsh (Australian National University)

Comments: 15 pages

Subjects: Statistics Theory (math.ST)

[308] arXiv:2101.08954 [pdf, other]

Title: Bayesian hierarchical stacking: Some models are (somewhere) useful

Yuling Yao, Gregor Pirš, Aki Vehtari, Andrew Gelman

Comments: minor revision

Journal-ref: Bayesian Analysis. (2021)

Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)

[309] arXiv:2101.09001 [pdf, other]

Title: Linear Regression with Distributed Learning: A Generalization Error Perspective

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP)

[310] arXiv:2101.09022 [pdf, other]

Title: A heavy-tailed and overdispersed collective risk model

Pamela M. Chiroque-Solano, Fernando A. S. Moura

Subjects: Applications (stat.AP)

[311] arXiv:2101.09039 [pdf, other]

Title: Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric

Matteo Pegoraro, Mario Beraha

Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

[312] arXiv:2101.09053 [pdf, other]

Title: New randomized response technique for estimating the population total of a quantitative variable

Jaromir Antoch, Francesco Mola, Ondrej Vozar

Comments: 24 pages, 5 figures, 4 tables

Subjects: Methodology (stat.ME)

[313] arXiv:2101.09109 [pdf, other]

Title: Stochastic Modeling of an Infectious Disease Part III-A: Analysis of Time-Nonhomogeneous Models

Hisashi Kobayashi

Comments: 35 figures. An earlier version was presented at ITC-32 as a keynote on September 23, 2020

Subjects: Methodology (stat.ME); Applications (stat.AP)

[314] arXiv:2101.09110 [pdf, other]

Title: RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data

Erica Ponzi, Magne Thoresen, Abhik Ghosh

Subjects: Methodology (stat.ME)

[315] arXiv:2101.09117 [pdf, other]

Title: On the robustness to adversarial corruption and to heavy-tailed data of the Stahel-Donoho median of means

Jules Depersin, Guillaume Lecué

Subjects: Statistics Theory (math.ST)

[316] arXiv:2101.09126 [pdf, other]

Title: Will Artificial Intelligence supersede Earth System and Climate Models?

Christopher Irrgang (1), Niklas Boers (2 and 3 and 4), Maike Sonnewald (5 and 6 and 7), Elizabeth A. Barnes (8), Christopher Kadow (9), Joanna Staneva (10), Jan Saynisch-Wagner (1) ((1) Helmholtz Centre Potsdam, German Research Centre for Geosciences GFZ, Potsdam, Germany, (2) Department of Mathematics and Computer Science, Free University of Berlin, Germany, (3) Potsdam Institute for Climate Impact Research, Potsdam, Germany (4) Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK (5) Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA (6) NOAA/OAR Geophysical Fluid Dynamics Laboratory, Ocean and Cryosphere Division, Princeton, USA (7) University of Washington, School of Oceanography, Seattle, USA (8) Colorado State University, Fort Collins, USA (9) German Climate Computing Center DKRZ, Hamburg, Germany (10) Helmholtz-Zentrum Geesthacht, Center for Material and Coastal Research HZG, Geesthacht, Germany)

Comments: Perspective paper submitted to Nature Machine Intelligence, 23 pages, 3 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Atmospheric and Oceanic Physics (physics.ao-ph)

[317] arXiv:2101.09174 [pdf, other]

Title: Sparsistent filtering of comovement networks from high-dimensional data

Arnab Chakrabarti, Anindya S. Chakrabarti

Comments: 31 pages, 6 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[318] arXiv:2101.09183 [pdf, other]

Title: The extended Bregman divergence and parametric estimation

Sancharee Basak, Ayanendranath Basu

Subjects: Statistics Theory (math.ST)

[319] arXiv:2101.09195 [pdf, other]

Title: Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects

Devin Caughey, Allan Dafoe, Xinran Li, Luke Miratrix

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[320] arXiv:2101.09197 [pdf, other]

Title: Flexible estimation of the state dwell-time distribution in hidden semi-Markov models

Jennifer Pohle, Timo Adam, Larissa T. Beumer

Comments: Main manuscript with 16 pages and supplementary material with 6 pages

Subjects: Methodology (stat.ME)

[321] arXiv:2101.09233 [pdf, other]

Title: Semi-parametric estimation of biomarker age trends with endogenous medication use in longitudinal data

Andrew J. Spieker, Joseph A.C. Delaney, Robyn L. McClelland

Subjects: Methodology (stat.ME)

[322] arXiv:2101.09258 [pdf, other]

Title: Maximum Likelihood Training of Score-Based Diffusion Models

Yang Song, Conor Durkan, Iain Murray, Stefano Ermon

Comments: NeurIPS 2021 (Spotlight)

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[323] arXiv:2101.09271 [pdf, other]

Title: Representation of Context-Specific Causal Models with Observational and Interventional Data

Eliana Duarte, Liam Solus

Comments: 32 pages including supplementary material

Subjects: Statistics Theory (math.ST); Combinatorics (math.CO); Methodology (stat.ME); Machine Learning (stat.ML)

[324] arXiv:2101.09297 [pdf, other]

Title: Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores

Keith W. Zirkle, Marie-Abele Bind, Jenise L. Swall, David C. Wheeler

Comments: 37 pages, 7 figures, being submitted

Subjects: Applications (stat.AP)

[325] arXiv:2101.09304 [pdf, other]

Title: The Central Role of the Identifying Assumption in Population Size Estimation

Serge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield

Comments: 58 pages. The material presented in Appendix A previously appeared in an unpublished preprint written by the first author: arXiv:2008.09865

Subjects: Methodology (stat.ME)

[326] arXiv:2101.09315 [pdf, other]

Title: Tighter expected generalization error bounds via Wasserstein distance

Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund

Comments: 29 pages: 9 of the main text, 3 of references, and 17 of appendices. Presented at ITR3 at ICML 2021. Accepted at NeurIPS 2021

Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)

[327] arXiv:2101.09418 [pdf, other]

Title: A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation

Xinyue Chang, Zhengyuan Zhu, Xiongtao Dai, Jonathan Hobbs

Subjects: Applications (stat.AP)

[328] arXiv:2101.09424 [pdf, other]

Title: A Change-Point Based Control Chart for Detecting Sparse Changes in High-Dimensional Heteroscedastic Data

Zezhong Wang, Inez Maria Zwetsloot

Subjects: Methodology (stat.ME)

[329] arXiv:2101.09514 [pdf, other]

Title: Efficient Importance Sampling for Large Sums of Independent and Identically Distributed Random Variables

Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Gerardo Rubino, Raul Tempone

Subjects: Computation (stat.CO)

[330] arXiv:2101.09558 [pdf, other]

Title: The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation

Xavier Emery, Alfredo Alegría

Comments: 22 pages

Subjects: Statistics Theory (math.ST)

[331] arXiv:2101.09587 [pdf, other]

Title: Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer

Zeya Wang, Veera Baladandayuthapan, Ahmed O. Kaseb, Hesham M. Amin, Manal M. Hassan, Wenyi Wang, Jeffrey S. Morris

Subjects: Applications (stat.AP); Methodology (stat.ME)

[332] arXiv:2101.09596 [pdf, other]

Title: The Role of Distributional Overlap on the Precision Gain of Bounds for Generalization

Wendy Chan

Subjects: Methodology (stat.ME)

[333] arXiv:2101.09604 [pdf, other]

Title: UltraNest -- a robust, general purpose Bayesian inference engine

Johannes Buchner

Comments: Longer version of the paper published in JOSS. UltraNest can be found at this https URL

Subjects: Computation (stat.CO); Instrumentation and Methods for Astrophysics (astro-ph.IM)

[334] arXiv:2101.09605 [pdf, other]

Title: Kernel regression analysis of tie-breaker designs

Dan M. Kluger, Art B. Owen

Comments: This version is very similar to version 4. We fixed a few minor typos and reworded a few paragraphs

Journal-ref: Electronic Journal of Statistics: 17(1), 243-290 (2023)

Subjects: Methodology (stat.ME); Econometrics (econ.EM); Statistics Theory (math.ST)

[335] arXiv:2101.09675 [pdf, other]

Title: Nested Sampling Methods

Johannes Buchner

Comments: Published in Statistics Surveys. The open-source UltraNest package and astrostatistics tutorials can be found at this https URL

Journal-ref: Statist. Surv. 17: 169-215 (2023)

Subjects: Computation (stat.CO); Instrumentation and Methods for Astrophysics (astro-ph.IM)

[336] arXiv:2101.09711 [pdf, other]

Title: Testing for subsphericity when $n$ and $p$ are of different asymptotic order

Joni Virta

Comments: 20 pages, 2 figures

Subjects: Statistics Theory (math.ST)

[337] arXiv:2101.09747 [pdf, other]

Title: Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vazquez

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)

[338] arXiv:2101.09756 [pdf, other]

Title: Entropy Partial Transport with Tree Metrics: Theory and Practice

Tam Le, Truyen Nguyen

Comments: To appear in AISTATS 2021

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[339] arXiv:2101.09809 [pdf, other]

Title: NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy

Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[340] arXiv:2101.09855 [pdf, other]

Title: Weak Signal Asymptotics for Sequentially Randomized Experiments

Xu Kuang, Stefan Wager

Comments: Forthcoming in Management Science. An earlier draft of this paper was circulated under the title "Diffusion Asymptotics for Sequential Experiments.'' Xu Kuang published under a different full name in earlier versions of this manuscript. Please use X. Kuang and S. Wager when citing this paper

Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG)

[341] arXiv:2101.09875 [pdf, other]

Title: Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Xiuyuan Cheng, Nan Wu

Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG); Machine Learning (stat.ML)

[342] arXiv:2101.09942 [pdf, other]

Title: An Environmentally-Adaptive Hawkes Process with An Application to COVID-19

Tingnan Gong, Yu Chen, Weiping Zhang

Subjects: Applications (stat.AP)

[343] arXiv:2101.10005 [pdf, other]

Title: Low incidence rate of COVID-19 undermines confidence in estimation of the vaccine efficacy

Yasin Memari

Subjects: Methodology (stat.ME); Applications (stat.AP)

[344] arXiv:2101.10058 [pdf, other]

Title: The EM Perspective of Directional Mean Shift Algorithm

Yikun Zhang, Yen-Chi Chen

Subjects: Statistics Theory (math.ST); Methodology (stat.ME); Machine Learning (stat.ML)

[345] arXiv:2101.10103 [pdf, other]

Title: sensobol: an R package to compute variance-based sensitivity indices

Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin

Comments: The paper has been accepted for publication in the Journal of Statistical Software (expected for 2022)

Subjects: Computation (stat.CO); Applications (stat.AP)

[346] arXiv:2101.10373 [pdf, other]

Title: Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data

Yuqi Gu, David B. Dunson

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[347] arXiv:2101.10383 [pdf, other]

Title: A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19

Francisco Corona, Graciela González-Farías, Jesús López-Pérez

Comments: 29 pages, 8 figures, 1 table and 1 annex

Subjects: Applications (stat.AP); Econometrics (econ.EM)

[348] arXiv:2101.10466 [pdf, other]

Title: A regression framework for a probabilistic measure of cost-effectiveness

Nicholas Illenberger, Nandita Mitra, Andrew J. Spieker

Subjects: Methodology (stat.ME); Applications (stat.AP)

[349] arXiv:2101.10515 [pdf, other]

Title: Testing Rank of Incomplete Unimodal Matrices

Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra

Subjects: Applications (stat.AP); Statistics Theory (math.ST); Methodology (stat.ME)

[350] arXiv:2101.10542 [pdf, other]

Title: Iterative Weak Learnability and Multi-Class AdaBoost

In-Koo Cho, Jonathan Libgober

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)