Statistics

Authors and titles for July 2020

[101] arXiv:2007.01990 [pdf, other]

Title: Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion

Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

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

[102] arXiv:2007.02006 [pdf, other]

Title: Cluster Prediction for Opinion Dynamics from Partial Observations

Zehong Zhang, Fei Lu

Subjects: Computation (stat.CO)

[103] arXiv:2007.02037 [pdf, other]

Title: Estimating Extreme Value Index by Subsampling for Massive Datasets with Heavy-Tailed Distributions

Yongxin Li, Liujun Chen, Deyuan Li, Hansheng Wang

Subjects: Methodology (stat.ME)

[104] arXiv:2007.02103 [pdf, other]

Title: Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests

Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang

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

[105] arXiv:2007.02105 [pdf, other]

Title: Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic

T. KIm, B. Lieberman, G. Luta, E. Pena

Comments: There are 16 Figures with some containing one to four plot panels. The appendix section are supplementary materials. Without these supplementary materials, there are 35 pages in this manuscript

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

[106] arXiv:2007.02117 [pdf, other]

Title: Transfer learning of regression models from a sequence of datasets by penalized estimation

Wessel N. van Wieringen, Harald Binder

Subjects: Methodology (stat.ME)

[107] arXiv:2007.02153 [pdf, other]

Title: An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices

Chun-Hao Yang, Hani Doss, Baba C. Vemuri

Comments: 54 pages, 5 figures

Subjects: Statistics Theory (math.ST)

[108] arXiv:2007.02186 [pdf, other]

Title: On universally consistent and fully distribution-free rank tests of vector independence

Hongjian Shi, Marc Hallin, Mathias Drton, Fang Han

Comments: 52 pages with title changed and more materials put in, including, particularly, a more general local power analysis covering many smooth alternatives beyond the Konijn ones

Subjects: Statistics Theory (math.ST)

[109] arXiv:2007.02188 [pdf, other]

Title: The maximum of the periodogram of Hilbert space valued time series

Clément Cerovecki, Vaidotas Characiejus, Siegfried Hörmann

Comments: 42 pages, 2 figures

Subjects: Statistics Theory (math.ST)

[110] arXiv:2007.02189 [pdf, other]

Title: The joint survival signature of coherent systems with shared components

Tahani Coolen-Maturi, Frank P.A. Coolen, Narayanaswamy Balakrishnan

Comments: 14 pages, 4 figures

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

[111] arXiv:2007.02192 [pdf, html, other]

Title: Tail-adaptive Bayesian shrinkage

Se Yoon Lee, Peng Zhao, Debdeep Pati, Bani K. Mallick

Comments: Accepted in Electronic Journal of Statistics

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

[112] arXiv:2007.02222 [pdf, other]

Title: Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse

Zhihua Ma, Yishu Xue, Guanyu Hu

Subjects: Applications (stat.AP)

[113] arXiv:2007.02228 [pdf, other]

Title: Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications

Zhihua Ma, Guanyu Hu, Ming-Hui Chen

Subjects: Methodology (stat.ME)

[114] arXiv:2007.02266 [pdf, other]

Title: Adverse event enrichment tests using VAERS

Shuoran Li, Lili Zhao

Comments: 7 pages, 1 figure

Subjects: Methodology (stat.ME)

[115] arXiv:2007.02305 [pdf, other]

Title: Semiparametric transformation model for competing risks data with cure fraction

Sudheesh K Kattumannil, Sreedevi E P, Sankaran P G

Comments: We propose a new methodology in mixture cure rate model with competing risks data

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

[116] arXiv:2007.02339 [pdf, other]

Title: SMIM: a unified framework of Survival sensitivity analysis using Multiple Imputation and Martingale

Shu Yang, Yilong Zhang, Guanghan Frank Liu, Qian Guan

Subjects: Methodology (stat.ME)

[117] arXiv:2007.02359 [pdf, other]

Title: Cultures as networks of cultural traits: A unifying framework for measuring culture and cultural distances

Luca De Benedictis, Roberto Rondinelli, Veronica Vinciotti

Comments: 27 pages, 12 figures, 4 tables

Subjects: Applications (stat.AP); Physics and Society (physics.soc-ph)

[118] arXiv:2007.02404 [pdf, html, other]

Title: Semi-parametric TEnsor Factor Analysis by Iteratively Projected Singular Value Decomposition

Elynn Y. Chen, Dong Xia, Chencheng Cai, Jianqing Fan

Comments: 44 pages, 8 figures

Journal-ref: Journal of the Royal Statistical Society Series B: Statistical Methodology, 2024

Subjects: Methodology (stat.ME)

[119] arXiv:2007.02411 [pdf, other]

Title: Assessing External Validity Over Worst-case Subpopulations

Sookyo Jeong, Hongseok Namkoong

Comments: A previous version of the paper circulated under the title "Robust Causal Inference Under Covariate Shift via Worst-Case Subpopulation Treatment Effects" appeared in COLT 2020

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

[120] arXiv:2007.02422 [pdf, other]

Title: Piecewise Linear Regression via a Difference of Convex Functions

Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama

Comments: Published in International Conference on Machine Learning (ICML2020) Proceedings

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

[121] arXiv:2007.02432 [pdf, other]

Title: Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where and How to Add Which Covariates

Jin Liu, Robert A. Perera

Comments: \textcircled{c}2021, American Psychological Association. This paper is not the copy of record and may not exactly replicate the final, authoritative version of the article. Please do not copy or cite without authors' permission. The final article will be available, upon publication, via its DOI: https://doi.org/10.1037/met0000436

Journal-ref: Psychological Methods, 2021

Subjects: Methodology (stat.ME)

[122] arXiv:2007.02443 [pdf, other]

Title: Pseudo-Rehearsal for Continual Learning with Normalizing Flows

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Comments: A preliminary unpublished version of this work was presented in the LifelongML workshop, at ICML 2020

Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[123] arXiv:2007.02455 [pdf, other]

Title: Handling highly correlated genes in prediction analysis of genomic studies

Li Xing, Songwan Joun, Kurt Mackay, Mary Lesperance, Xuekui Zhang

Comments: 9 pages, 2 figures

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

[124] arXiv:2007.02470 [pdf, other]

Title: Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing

Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng

Comments: The following article has been accepted by JASA; see this https URL

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

[125] arXiv:2007.02476 [pdf, other]

Title: Adjusted Logistic Propensity Weighting Methods for Population Inference using Nonprobability Volunteer-Based Epidemiologic Cohorts

Lingxiao Wang, Richard Valliant, Yan Li

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

[126] arXiv:2007.02486 [pdf, other]

Title: Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network

Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng

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

[127] arXiv:2007.02510 [pdf, other]

Title: An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce

Chandramouli Kamanchi, Gopinath Ashok Kumar, Nachiappan Sundaram, Ravindra Babu T, Chaithanya Bandi

Subjects: Applications (stat.AP); Machine Learning (cs.LG)

[128] arXiv:2007.02514 [pdf, other]

Title: Treatment Effect Bias from Sample Snooping: Blinding Outcomes is Neither Necessary nor Sufficient

Aaron Fisher

Comments: The supplement is available as an ancillary file (see link on right-hand side of this page)

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

[129] arXiv:2007.02541 [pdf, other]

Title: Moments of the multivariate Beta distribution

Feng Zhao

Subjects: Applications (stat.AP); Probability (math.PR)

[130] arXiv:2007.02552 [pdf, other]

Title: Closed-form variance estimators for weighted and stratified dose-response function estimators using generalized propensity score

Valérie Garès (IRMAR), Guillaume Chauvet (IRMAR), David Hajage

Subjects: Applications (stat.AP)

[131] arXiv:2007.02596 [pdf, other]

Title: Testing normality in any dimension by Fourier methods in a multivariate Stein equation

Bruno Ebner, Norbert Henze, David Strieder

Comments: 37 pages, 1 figure, 10 tables

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

[132] arXiv:2007.02633 [pdf, other]

Title: Surprise sampling: improving and extending the local case-control sampling

Xinwei Shen, Kani Chen, Wen Yu

Journal-ref: Electron. J. Statist. 15(1): 2454-2482, 2021

Subjects: Methodology (stat.ME)

[133] arXiv:2007.02677 [pdf, other]

Title: Consistency analysis of bilevel data-driven learning in inverse problems

Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann

Subjects: Statistics Theory (math.ST); Numerical Analysis (math.NA); Optimization and Control (math.OC); Machine Learning (stat.ML)

[134] arXiv:2007.02714 [pdf, other]

Title: A review of spatial causal inference methods for environmental and epidemiological applications

Brian J Reich, Shu Yang, Yawen Guan, Andrew B Giffin, Matthew J Miller, Ana G Rappold

Subjects: Methodology (stat.ME)

[135] arXiv:2007.02725 [pdf, other]

Title: The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes

Michael A. Chappell, Mark W. Woolrich

Comments: Example code and exercises associated with this tutorial can be found here: this https URL

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

[136] arXiv:2007.02751 [pdf, other]

Title: Non-Gaussian component analysis: testing the dimension of the signal subspace

Una Radojicic, Klaus Nordhausen

Journal-ref: In Maciak, M., Pestas, M. and Schindler, M. (editors) "Analytical Methods in Statistics. AMISTAT 2019", 101-123, Springer, Cham

Subjects: Methodology (stat.ME)

[137] arXiv:2007.02763 [pdf, other]

Title: Yield curve and macroeconomy interaction: evidence from the non-parametric functional lagged regression approach

Tomáš Rubín

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

[138] arXiv:2007.02789 [pdf, other]

Title: Comparing representational geometries using whitened unbiased-distance-matrix similarity

Jörn Diedrichsen, Eva Berlot, Marieke Mur, Heiko H. Schütt, Mahdiyar Shahbazi, Nikolaus Kriegeskorte

Subjects: Applications (stat.AP)

[139] arXiv:2007.02794 [pdf, other]

Title: Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning

Tianyu Shi, Jiawei Wang, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun

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

[140] arXiv:2007.02809 [pdf, other]

Title: Meta Learning for Causal Direction

Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu

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

[141] arXiv:2007.02829 [pdf, other]

Title: Solving Bayesian Network Structure Learning Problem with Integer Linear Programming

Ronald Seoh

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

[142] arXiv:2007.02837 [pdf, other]

Title: Does imputation matter? Benchmark for predictive models

Katarzyna Woźnica, Przemysław Biecek

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

[143] arXiv:2007.02844 [pdf, other]

Title: On optimal two-stage testing of multiple mediators

Vera Djordjilović, Jesse Hemerik, Magne Thoresen

Comments: 20 pages, 5 gifures

Subjects: Methodology (stat.ME)

[144] arXiv:2007.02852 [pdf, other]

Title: Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

Daniel Jacob

Subjects: Methodology (stat.ME)

[145] arXiv:2007.02857 [pdf, other]

Title: Stochastic Stein Discrepancies

Jackson Gorham, Anant Raj, Lester Mackey

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

[146] arXiv:2007.02876 [pdf, other]

Title: A Mathematical Theory of Attention

James Vuckovic, Aristide Baratin, Remi Tachet des Combes

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

[147] arXiv:2007.02904 [pdf, other]

Title: On the minmax regret for statistical manifolds: the role of curvature

Bruno Mera, Paulo Mateus, Alexandra M. Carvalho

Comments: 16 pages; comments welcome

Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Differential Geometry (math.DG); Data Analysis, Statistics and Probability (physics.data-an); Quantum Physics (quant-ph)

[148] arXiv:2007.02923 [pdf, other]

Title: Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi

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

[149] arXiv:2007.02938 [pdf, other]

Title: Causal Feature Selection via Orthogonal Search

Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve

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

[150] arXiv:2007.03016 [pdf, other]

Title: Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics

Yajuan Si, Steve Heeringa, David Johnson, Roderick Little, Wenshuo Liu, Fabian Pfeffer, Trivellore Raghunathan

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