Statistics

Authors and titles for July 2021

[1] arXiv:2107.00007 [pdf, other]

Title: On the distribution of the sum of dependent standard normally distributed random variables using copulas

Walter Schneider

Subjects: Computation (stat.CO); Probability (math.PR)

[2] arXiv:2107.00074 [pdf, other]

Title: Spatial kriging for replicated temporal point processes

Daniel Gervini

Subjects: Methodology (stat.ME)

[3] arXiv:2107.00109 [pdf, other]

Title: Adaptive Capped Least Squares

Qiang Sun, Rui Mao, Wen-Xin Zhou

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

[4] arXiv:2107.00118 [pdf, other]

Title: Do we need to estimate the variance in robust mean estimation?

Qiang Sun

Comments: Final version

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

[5] arXiv:2107.00122 [pdf, other]

Title: Assignment-Control Plots: A Visual Companion for Causal Inference Study Design

Rachael C. Aikens, Michael Baiocchi

Comments: 17 pages, 8 figures

Subjects: Methodology (stat.ME)

[6] arXiv:2107.00134 [pdf, html, other]

Title: The geometry of Gaussian double Markovian distributions

Tobias Boege, Thomas Kahle, Andreas Kretschmer, Frank Röttger

Comments: 33 pages, 1 figure. v4: added missing cases in Proposition 3.31

Subjects: Statistics Theory (math.ST); Algebraic Geometry (math.AG)

[7] arXiv:2107.00146 [pdf, other]

Title: Behaviour of FWER in Normal Distributions

Monitirtha Dey

Comments: 12 pages, 2 figures

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

[8] arXiv:2107.00153 [pdf, other]

Title: Root and community inference on the latent growth process of a network

Harry Crane, Min Xu

Comments: 69 pages; 29 figures

Subjects: Methodology (stat.ME); Probability (math.PR); Computation (stat.CO)

[9] arXiv:2107.00179 [pdf, other]

Title: Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation

T. Tony Cai, Hongji Wei

Subjects: Statistics Theory (math.ST); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Machine Learning (stat.ML)

[10] arXiv:2107.00224 [pdf, other]

Title: The Case against Generally Weighted Moving Average (GWMA) Control Charts

Sven Knoth, William H. Woodall, Víctor G. Tercero-Gómez

Comments: 8 pages, 8 figures, 2 tables

Subjects: Methodology (stat.ME)

[11] arXiv:2107.00248 [pdf, other]

Title: New Estimands for Experiments with Strong Interference

David Choi

Comments: new title, expanded discussion of interpretation and limitations, consolidation of central limit theorem results

Subjects: Methodology (stat.ME)

[12] arXiv:2107.00280 [pdf, other]

Title: Managing driving modes in automated driving systems

David Ríos Insua, William N. Caballero, Roi Naveiro

Subjects: Applications (stat.AP)

[13] arXiv:2107.00352 [pdf, other]

Title: Reparameterized Sampling for Generative Adversarial Networks

Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Comments: ECML PKDD 2021

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

[14] arXiv:2107.00363 [pdf, html, other]

Title: Valid prediction intervals for regression problems

Nicolas Dewolf, Bernard De Baets, Willem Waegeman

Comments: Minor correction (bibliography and typo in Fig. 3). Thanks to Dr. María Moreno de Castro for spotting this typo

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

[15] arXiv:2107.00371 [pdf, other]

Title: Sparse GCA and Thresholded Gradient Descent

Sheng Gao, Zongming Ma

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

[16] arXiv:2107.00375 [pdf, other]

Title: A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015

Michael Schweinberger, Rashmi P. Bomiriya, Sergii Babkin

Journal-ref: Journal of Nonparametric Statistics (2021)

Subjects: Methodology (stat.ME)

[17] arXiv:2107.00379 [pdf, other]

Title: On the Expected Complexity of Maxout Networks

Hanna Tseran, Guido Montúfar

Comments: Published at NeurIPS 2021, 47 pages, 18 figures

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

[18] arXiv:2107.00394 [pdf, other]

Title: Global sensitivity analysis using derivative-based sparse Poincar\'e chaos expansions

Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret

Journal-ref: International Journal for Uncertainty Quantification, vol. 13 (6), 57-82, 2023

Subjects: Computation (stat.CO); Classical Analysis and ODEs (math.CA); Numerical Analysis (math.NA); Statistics Theory (math.ST)

[19] arXiv:2107.00470 [pdf, other]

Title: Dealing with overdispersion in multivariate count data

Noemi Corsini, Cinzia Viroli

Comments: 21 pages, 4 figures, 3 tables

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

[20] arXiv:2107.00502 [pdf, other]

Title: A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant

Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye, Thomas P. Curtis, Ben Allen, Andrew Golightly, Darren J. Wilkinson

Comments: 23 pages, 6 figures

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

[21] arXiv:2107.00527 [pdf, other]

Title: Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market

Jacopo Diquigiovanni, Matteo Fontana, Simone Vantini

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

[22] arXiv:2107.00535 [pdf, other]

Title: Bounds for the chi-square approximation of the power divergence family of statistics

Robert E. Gaunt

Comments: 26 pages

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

[23] arXiv:2107.00539 [pdf, other]

Title: Semiparametric estimation of McKean-Vlasov SDEs

Denis Belomestny, Vytautė Pilipauskaitė, Mark Podolskij

Subjects: Statistics Theory (math.ST)

[24] arXiv:2107.00548 [pdf, other]

Title: Comparison of forecasting of the risk of coronavirus (COVID 19) in high quality and low quality healthcare systems, using ANN models

Aseel Sameer Mohamed, Nooriya A. Mohammed

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

[25] arXiv:2107.00563 [pdf, other]

Title: Optimal use of auxiliary information : information geometry and empirical process

Sofiane Arradi-Alaoui

Comments: 26 pages, 7 figures

Subjects: Statistics Theory (math.ST)

[26] arXiv:2107.00587 [pdf, other]

Title: Robust Estimation in Finite Mixture Models

Alexandre Lecestre

Subjects: Statistics Theory (math.ST)

[27] arXiv:2107.00633 [pdf, other]

Title: Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations

Kilani Ghoudi, Naâmane Laïb, Mohamed Chaouch

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

[28] arXiv:2107.00681 [pdf, other]

Title: Demystifying statistical learning based on efficient influence functions

Oliver Hines, Oliver Dukes, Karla Diaz-Ordaz, Stijn Vansteelandt

Subjects: Statistics Theory (math.ST)

[29] arXiv:2107.00728 [pdf, other]

Title: Two edge-count tests and relevance analysis in k high-dimensional samples

Xiaoping Shi

Subjects: Methodology (stat.ME)

[30] arXiv:2107.00731 [pdf, other]

Title: Visualizing the geometry of labeled high-dimensional data with spheres

Andrew D Zaharia, Anish S Potnis, Alexander Walther, Nikolaus Kriegeskorte

Subjects: Computation (stat.CO); Neurons and Cognition (q-bio.NC)

[31] arXiv:2107.00744 [pdf, other]

Title: Nonnegative Matrix Factorization with Group and Basis Restrictions

Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng, Ramie Ali-Adeeb, Andrew Jirasek

Comments: 11 pages (introduction to conclusion; 17 total). 6 figures

Subjects: Methodology (stat.ME); Medical Physics (physics.med-ph)

[32] arXiv:2107.00776 [pdf, other]

Title: A Flexible Joint Model for Multiple Longitudinal Biomarkers and A Time-to-Event Outcome: With Applications to Dynamic Prediction Using Highly Correlated Biomarkers

Ning Li, Yi Liu, Shanpeng Li, Robert M. Elashoff, Gang Li

Comments: Accepted for publication in biometrical journal: 13 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:math/0602240 by other authors

Subjects: Methodology (stat.ME)

[33] arXiv:2107.00801 [pdf, other]

Title: Meta-Learning for Relative Density-Ratio Estimation

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Comments: 17 pages

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

[34] arXiv:2107.00815 [pdf, other]

Title: Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies

Kan Chen, Siyu Heng, Qi Long, Bo Zhang

Subjects: Methodology (stat.ME)

[35] arXiv:2107.00848 [pdf, other]

Title: Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer, Christopher Pal

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

[36] arXiv:2107.00856 [pdf, other]

Title: A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data

Licheng Liu, Ye Wang, Yiqing Xu

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

[37] arXiv:2107.00960 [pdf, other]

Title: Time series models with infinite-order partial copula dependence

Martin Bladt, Alexander J. McNeil

Comments: 30 pages, 4 figures

Subjects: Methodology (stat.ME); Statistical Finance (q-fin.ST); Applications (stat.AP)

[38] arXiv:2107.00975 [pdf, other]

Title: A Robust Seemingly Unrelated Regressions For Row-Wise And Cell-Wise Contamination

Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli

Comments: 18 pages, 6 figures and 3 Tables

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

[39] arXiv:2107.01070 [pdf, other]

Title: Homogeneity in the instrument-treatment association is not sufficient for the Wald estimand to equal the average causal effect for a binary instrument and a continuous exposure

Fernando Pires Hartwig, Linbo Wang, George Davey Smith, Neil Martin Davies

Subjects: Methodology (stat.ME)

[40] arXiv:2107.01103 [pdf, other]

Title: Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions

Subhabrata Majumdar, Snigdhansu Chatterjee

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

[41] arXiv:2107.01105 [pdf, other]

Title: Memory Efficient Meta-Learning with Large Images

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Journal-ref: 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

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

[42] arXiv:2107.01120 [pdf, other]

Title: Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification

Zacharie Naulet, Judith Rousseau, François Caron

Subjects: Statistics Theory (math.ST)

[43] arXiv:2107.01131 [pdf, other]

Title: Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Jing Huang, Chenyang Tao

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

[44] arXiv:2107.01144 [pdf, other]

Title: A Functional Data Analysis Approach to Evolution Outlier Detection for Grouped Smart Meters

A. Elías, J. M. Morales, S. Pineda

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

[45] arXiv:2107.01152 [pdf, other]

Title: Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Information Theory (cs.IT); Machine Learning (cs.LG)

[46] arXiv:2107.01214 [pdf, other]

Title: Truncated Marginal Neural Ratio Estimation

Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger

Comments: 10 pages. 27 pages with references and supplemental material. Implementation of experiments at this https URL. Ready-to-use implementation of underlying algorithm at this https URL. Accepted at NeurIPS 2021

Subjects: Machine Learning (stat.ML); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); High Energy Physics - Phenomenology (hep-ph)

[47] arXiv:2107.01251 [pdf, other]

Title: Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification

Savannah Bergquist, Gabriel Brooks, Mary Beth Landrum, Nancy Keating, Sherri Rose

Comments: Code available at: this https URL

Journal-ref: Statistics in Medicine (2022)

Subjects: Applications (stat.AP)

[48] arXiv:2107.01266 [pdf, other]

Title: Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm

Kan Chen, Zhiqi Bu, Shiyun Xu

Journal-ref: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, 2021

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

[49] arXiv:2107.01271 [pdf, other]

Title: Bayesian two-interval test

Nicolas Meyer, Erik-André Sauleau

Comments: 49 pages, 7 figures, 4 tables

Subjects: Methodology (stat.ME)

[50] arXiv:2107.01285 [pdf, other]

Title: Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection

Jonathan Hillman, Toby Dylan Hocking

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