Statistics

Authors and titles for April 2021

[401] arXiv:2104.13588 [pdf, other]

Title: Improved log-Gaussian approximation for over-dispersed Poisson regression: application to spatial analysis of COVID-19

Daisuke Murakami, Tomoko Matsui

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

[402] arXiv:2104.13626 [pdf, other]

Title: Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound

Paul Viallard (LHC), Pascal Germain (ULaval), Amaury Habrard (LHC), Emilie Morvant (LHC)

Journal-ref: ECML PKDD 2021, Sep 2021, Bilbao, Spain

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

[403] arXiv:2104.13669 [pdf, other]

Title: Optimal Stopping via Randomized Neural Networks

Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA); Probability (math.PR); Computational Finance (q-fin.CP)

[404] arXiv:2104.13693 [pdf, other]

Title: On the Limiting Distribution of Sieve VAR($\infty$) Estimators in Small Samples

Giovanni Ballarin

Comments: 10 pages, 3 figures

Subjects: Methodology (stat.ME)

[405] arXiv:2104.13705 [pdf, other]

Title: Failure extropy, dynamic failure extropy and their weighted versions

Suchandan Kayal

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

[406] arXiv:2104.13730 [pdf, other]

Title: Causes of Effects: Learning individual responses from population data

Scott Mueller, Ang Li, Judea Pearl

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

[407] arXiv:2104.13756 [pdf, other]

Title: Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation

Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker

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

[408] arXiv:2104.13775 [pdf, other]

Title: Path Analysis for Binary Random Variables

Martina Raggi, Elena Stanghellini, Marco Doretti

Comments: 43 pages, 7 figures. A version of this paper is forthcoming in Sociological Methods & Research

Subjects: Methodology (stat.ME)

[409] arXiv:2104.13789 [pdf, other]

Title: A general procedure for change-point detection in multivariate time series

Mamadou Lamine Diop, William Kengne

Subjects: Statistics Theory (math.ST)

[410] arXiv:2104.13832 [pdf, other]

Title: Distributional Results for Model-Based Intrinsic Dimension Estimators

Francesco Denti, Diego Doimo, Alessandro Laio, Antonietta Mira

Subjects: Methodology (stat.ME)

[411] arXiv:2104.13871 [pdf, html, other]

Title: Selection and Aggregation of Conformal Prediction Sets

Yachong Yang, Arun Kumar Kuchibhotla

Comments: 46 pages, 2 figures

Subjects: Methodology (stat.ME)

[412] arXiv:2104.13881 [pdf, other]

Title: Large Scale Prediction with Decision Trees

Jason M. Klusowski, Peter M. Tian

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

[413] arXiv:2104.13957 [pdf, other]

Title: A Bayesian Modified Ising Model for Identifying Spatially Variable Genes from Spatial Transcriptomics Data

Xi Jiang, Qiwei Li, Guanghua Xiao

Comments: Version 3

Subjects: Applications (stat.AP); Genomics (q-bio.GN)

[414] arXiv:2104.14008 [pdf, other]

Title: BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression

Zhi Zhao, Marco Banterle, Leonardo Bottolo, Sylvia Richardson, Alex Lewin, Manuela Zucknick

Journal-ref: Journal of Statistical Software. 100 (2021) 1-32

Subjects: Methodology (stat.ME); Computation (stat.CO)

[415] arXiv:2104.14012 [pdf, other]

Title: Simplified Kalman filter for online rating: one-fits-all approach

Leszek Szczecinski, Raphaëlle Tihon

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

[416] arXiv:2104.14016 [pdf, other]

Title: Reference based multiple imputation -- what is the right variance and how to estimate it

Jonathan W. Bartlett

Comments: 17 pages, 0 figures

Subjects: Methodology (stat.ME)

[417] arXiv:2104.14023 [pdf, other]

Title: Measuring dependence between random vectors via optimal transport

Gilles Mordant, Johan Segers

Subjects: Statistics Theory (math.ST)

[418] arXiv:2104.14036 [pdf, other]

Title: Evaluation of statistical approaches for association testing in noisy drug screening data

Petr Smirnov, Ian Smith, Zhaleh Safikhani, Wail Ba-alawi, Farnoosh Khodakarami, Eva Lin, Yihong Yu, Scott Martin, Janosch Ortmann, Tero Aittokallio, Marc Hafner, Benjamin Haibe-Kains

Subjects: Applications (stat.AP)

[419] arXiv:2104.14054 [pdf, other]

Title: Loss-Based Variational Bayes Prediction

David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin, Bonsoo Koo

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

[420] arXiv:2104.14071 [pdf, other]

Title: On Rapid Variation of Multivariate Probability Densities

Haijun Li

Subjects: Statistics Theory (math.ST); Probability (math.PR)

[421] arXiv:2104.14072 [pdf, other]

Title: Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations

Anthony Gruber, Max Gunzburger, Lili Ju, Yuankai Teng, Zhu Wang

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA)

[422] arXiv:2104.14091 [pdf, other]

Title: Doubly robust capture-recapture methods for estimating population size

Manjari Das, Edward H. Kennedy, Nicholas P. Jewell

Comments: 20 pages, 7 figures

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

[423] arXiv:2104.14132 [pdf, other]

Title: Generalization Guarantees for Neural Architecture Search with Train-Validation Split

Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi

Comments: ICML 2021

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

[424] arXiv:2104.14243 [pdf, other]

Title: Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas

Jonathan Rathjens, Arthur Kolbe, Jürgen Hölzer, Katja Ickstadt, Nadja Klein

Comments: 27 pages, 7 figures (some of them composed from several pdf files)

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

[425] arXiv:2104.14371 [pdf, other]

Title: Generalized Linear Models with Structured Sparsity Estimators

Mehmet Caner

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

[426] arXiv:2104.14401 [pdf, other]

Title: Sample selection from a given dataset to validate machine learning models

Bertrand Iooss (EDF R&D PRISME, GdR MASCOT-NUM)

Subjects: Machine Learning (stat.ML)

[427] arXiv:2104.14423 [pdf, other]

Title: The Raise Regression: Justification, properties and application

Román Salmerón Gómez, Catalina García García, José García Pérez

Comments: 25 pages, 2 figures, 9 tables; working paper

Subjects: Methodology (stat.ME)

[428] arXiv:2104.14429 [pdf, other]

Title: Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra

Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli

Comments: Add "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 860830"

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

[429] arXiv:2104.14483 [pdf, other]

Title: Assessing and relaxing the Markov assumption in the illness-death model

Jonathan Broomfield, Caroline E. Weibull, Michael J. Crowther

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

[430] arXiv:2104.14525 [pdf, other]

Title: Testing and estimation of clustered signals

Hongyuan Cao, Wei Biao Wu

Journal-ref: Bernoulli, 2021

Subjects: Methodology (stat.ME)

[431] arXiv:2104.14562 [pdf, other]

Title: Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses

Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong

Comments: Submitted to Transaction on Signal Processing

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

[432] arXiv:2104.14581 [pdf, other]

Title: MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation

Amanda Muyskens, Benjamin Priest, Imène Goumiri, Michael Schneider

Comments: 15 pages, 5 figures

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

[433] arXiv:2104.14601 [pdf, other]

Title: Querying multiple sets of $p$-values through composed hypothesis testing

Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay, Stéphane Robin

Subjects: Methodology (stat.ME)

[434] arXiv:2104.14620 [pdf, other]

Title: Nonparametric tests of independence for circular data based on trigonometric moments

Eduardo García-Portugués, Pierre Lafaye de Micheaux, Simos G. Meintanis, Thomas Verdebout

Comments: 15 pages, 2 figures, 1 table. Supplementary material: 11 pages, 3 figures, 1 table

Subjects: Methodology (stat.ME)

[435] arXiv:2104.14664 [pdf, other]

Title: A Randomized Missing Data Approach to Robust Filtering and Forecasting

Dobrislav Dobrev, Derek Hansen, Pawel Szerszen

Comments: 46 pages; 6 figures; 3 tables

Subjects: Methodology (stat.ME)

[436] arXiv:2104.14676 [pdf, other]

Title: Gaussian Universal Likelihood Ratio Testing

Robin Dunn, Aaditya Ramdas, Sivaraman Balakrishnan, Larry Wasserman

Comments: Minor revisions for journal. Accepted to Biometrika

Subjects: Methodology (stat.ME)

[437] arXiv:2104.14695 [pdf, other]

Title: Dynamic Gene Coexpression Analysis with Correlation Modeling

Tae Hyun Kim, Dan Nicolae

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

[438] arXiv:2104.14708 [pdf, other]

Title: The potential stickiness of pandemic-induced behavior changes in the United States

Deborah Salon, Matthew Wigginton Conway, Denise Capasso da Silva, Rishabh Singh Chauhan, Sybil Derrible, Kouros Mohammadian, Sara Khoeini, Nathan Parker, Laura Mirtich, Ali Shamshiripour, Ehsan Rahimi, Ram Pendyala

Comments: 6 pages and 2 figures in main text; 24 pages in supplementary materials

Journal-ref: Proceedings of the National Academy of Sciences Jul 2021, 118 (27) e2106499118; DOI: 10.1073/pnas.2106499118

Subjects: Other Statistics (stat.OT)

[439] arXiv:2104.14712 [pdf, other]

Title: Epistemic confidence, the Dutch Book and relevant subsets

Yudi Pawitan, Hangbin Lee, Youngjo Lee

Subjects: Statistics Theory (math.ST)

[440] arXiv:2104.14714 [pdf, other]

Title: Adaptive Realized Hyperbolic GARCH Process: Stability and Estimation

El Hadji Mamadou Sall, El Hadji Deme, Abdou Kâ Diongue

Subjects: Methodology (stat.ME)

[441] arXiv:2104.14725 [pdf, other]

Title: Bayesian Information Criterion for Linear Mixed-effects Models

Nan Shen, Bárbara González

Subjects: Applications (stat.AP)

[442] arXiv:2104.14737 [pdf, other]

Title: Automatic Debiased Machine Learning via Riesz Regression

Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez, Vasilis Syrgkanis

Comments: arXiv admin note: text overlap with arXiv:1809.05224

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

[443] arXiv:2104.14752 [pdf, other]

Title: Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data

Xiudi Li, Sijia Li, Alex Luedtke

Subjects: Methodology (stat.ME)

[444] arXiv:2104.14813 [pdf, other]

Title: Does Covid-19 Mass Testing Work? The Importance of Accounting for the Epidemic Dynamics

Davide Ferrari, Steven Stillman, Mirco Tonin

Subjects: Applications (stat.AP)

[445] arXiv:2104.14821 [pdf, other]

Title: Interpretability of Epidemiological Models : The Curse of Non-Identifiability

Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu

Comments: 8 pages

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

[446] arXiv:2104.14827 [pdf, other]

Title: Joint Linear Trend Recovery Using L1 Regularization

Xiaoli Gao, Ejaz Ahmed

Subjects: Methodology (stat.ME)

[447] arXiv:2104.14910 [pdf, other]

Title: Calibration of wind speed ensemble forecasts for power generation

Sándor Baran, Ágnes Baran

Comments: 15 pages, 5 figures

Journal-ref: Id\^oj\'ar\'as 125 (2021), no. 4, 609-624

Subjects: Applications (stat.AP); Machine Learning (stat.ML)

[448] arXiv:2104.14923 [pdf, other]

Title: A Comparison of Model-Free Phase I Dose Escalation Designs for Dual-Agent Combination Therapies

Helen Yvette Barnett, Matthew George, Donia Skanji, Gaelle Saint-Hilary, Thomas Jaki, Pavel Mozgunov

Comments: 29 pages, 6 Figures, 2 Tables

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

[449] arXiv:2104.14929 [pdf, other]

Title: On In-network learning. A Comparative Study with Federated and Split Learning

Matei Moldoveanu, Abdellatif Zaidi

Comments: Accepted for publication at the 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), special session on Machine learning at the Edge. arXiv admin note: substantial text overlap with arXiv:2107.03433

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

[450] arXiv:2104.14952 [pdf, other]

Title: Network Recovery from Unlabeled Noisy Samples

Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk

Subjects: Methodology (stat.ME)