Statistics

Authors and titles for July 2020

[301] arXiv:2007.07124 [pdf, other]

Title: Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Comments: Accepted at the International Conference on Machine Learning (ICML) Workshop on Uncertainty and Robustness in Deep Learning (UDL) 2020

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

[302] arXiv:2007.07127 [pdf, other]

Title: Causal Inference using Gaussian Processes with Structured Latent Confounders

Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka

Comments: to be published at ICML2020

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

[303] arXiv:2007.07142 [pdf, other]

Title: Extendable and invertible manifold learning with geometry regularized autoencoders

Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon

Comments: 10 pages, 6 figures

Journal-ref: IEEE International Conference on Big Data, pp. 5027-5036, Dec. 2020

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

[304] arXiv:2007.07307 [pdf, other]

Title: Relaxed-Responsibility Hierarchical Discrete VAEs

Matthew Willetts, Xenia Miscouridou, Stephen Roberts, Chris Holmes

Comments: 10 Pages

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

[305] arXiv:2007.07365 [pdf, other]

Title: Towards a Theoretical Understanding of the Robustness of Variational Autoencoders

Alexander Camuto, Matthew Willetts, Stephen Roberts, Chris Holmes, Tom Rainforth

Comments: 8 pages

Journal-ref: AISTATS 2021

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

[306] arXiv:2007.07368 [pdf, other]

Title: Explicit Regularisation in Gaussian Noise Injections

Alexander Camuto, Matthew Willetts, Umut Şimşekli, Stephen Roberts, Chris Holmes

Journal-ref: Advances in Neural Information Processing Systems 34 (2020)

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

[307] arXiv:2007.07369 [pdf, other]

Title: Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race

Joonas Pääkkönen

Comments: 10 pages, 5 figures, to be published in Proc. ICSDMS 2020: International Conference on Sports Data Mining and Statistics

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

[308] arXiv:2007.07426 [pdf, other]

Title: A simple correction for COVID-19 sampling bias

Daniel Andrés Díaz-Pachón, J Sunil Rao

Comments: 14 pages. Title changed. The whole Section 7 with information from Lombardy, Italy, was added (another real dataset). Some typos were corrected. In spite of several lengthy additions, no substantial changes were done to the paper. The goal of the additions was more to clarify than to correct

Journal-ref: Journal of Theoretical Biology Journal of Theoretical Biology, Volume 512, 7 March 2021, 110556

Subjects: Methodology (stat.ME); Populations and Evolution (q-bio.PE)

[309] arXiv:2007.07448 [pdf, other]

Title: Statistical Inference for Networks of High-Dimensional Point Processes

Xu Wang, Mladen Kolar, Ali Shojaie

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

[310] arXiv:2007.07459 [pdf, other]

Title: From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines

Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh

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

[311] arXiv:2007.07471 [pdf, other]

Title: Predication of Inflection Point and Outbreak Size of COVID-19 in New Epicentres

Qibin Duan, Jinran Wu, Gaojun Wu, You-Gan Wang

Subjects: Applications (stat.AP); Physics and Society (physics.soc-ph); Populations and Evolution (q-bio.PE)

[312] arXiv:2007.07472 [pdf, other]

Title: Risk Bounds for Quantile Trend Filtering

Oscar Hernan Madrid Padilla, Sabyasachi Chatterjee

Subjects: Statistics Theory (math.ST)

[313] arXiv:2007.07498 [pdf, other]

Title: Measurement error models: from nonparametric methods to deep neural networks

Zhirui Hu, Zheng Tracy Ke, Jun S Liu

Comments: 37 pages, 8 figures

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

[314] arXiv:2007.07623 [pdf, other]

Title: Stationarity and ergodic properties for some observation-driven models in random environments

Paul Doukhan, Michael H. Neumann, Lionel Truquet

Subjects: Statistics Theory (math.ST)

[315] arXiv:2007.07635 [pdf, other]

Title: Testing biodiversity using inhomogeneous summary statistics

M.C. de Jongh, M.N.M. van Lieshout

Subjects: Methodology (stat.ME)

[316] arXiv:2007.07687 [pdf, other]

Title: Statistical Evaluation of Medical Tests

Vanda Inacio, Maria Xose Rodriguez-Alvarez, Pilar Gayoso-Diz

Subjects: Methodology (stat.ME)

[317] arXiv:2007.07724 [pdf, other]

Title: Scalable Bayesian modeling for smoothing disease risks in large spatial data sets

E. Orozco-Acosta, A. Adin, M. D. Ugarte

Journal-ref: Spatial Statistics (2021), 41, 100496

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

[318] arXiv:2007.07762 [pdf, other]

Title: Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: Generalized Formulations

Yun Yuan, Zhao Zhang, Xianfeng Terry Yang

Comments: 31 pages, 10 figures

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

[319] arXiv:2007.07781 [pdf, other]

Title: Least Squares Estimation Using Sketched Data with Heteroskedastic Errors

Sokbae Lee, Serena Ng

Comments: 42 pages, 4 tables. Accepted for presentation at ICML 2022

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

[320] arXiv:2007.07799 [pdf, other]

Title: Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions

Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre, François BERTIN-HUGAULT, Philippe ZAWIEJA, Marie LEFEVRE, Pierre-Paul VIDAL, Damien RICARD

Subjects: Methodology (stat.ME); Mathematical Software (cs.MS); Applications (stat.AP)

[321] arXiv:2007.07847 [pdf, other]

Title: A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems

Debashis Chatterjee, Sourabh Bhattacharya

Comments: Comments welcome

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

[322] arXiv:2007.07881 [pdf, other]

Title: Statistical analysis of two arm randomized pre-post design with one post-treatment measurement

Fei Wan

Comments: 38 pages, 2 figures, 3 tables

Subjects: Applications (stat.AP)

[323] arXiv:2007.07930 [pdf, other]

Title: Selective Inference for Additive and Linear Mixed Models

David Rügamer, Philipp F.M. Baumann, Sonja Greven

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

[324] arXiv:2007.07953 [pdf, other]

Title: A likelihood-based approach for multivariate categorical response regression in high dimensions

Aaron J. Molstad, Adam J. Rothman

Comments: Accepted for publication in Journal of the American Statistical Association

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

[325] arXiv:2007.07976 [pdf, other]

Title: Backward Simulation of Multivariate Mixed Poisson Processes

Michael Chiu, Kenneth R. Jackson, Alexander Kreinin

Subjects: Computation (stat.CO)

[326] arXiv:2007.07985 [pdf, other]

Title: Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows

Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Geophysics (physics.geo-ph)

[327] arXiv:2007.08016 [pdf, other]

Title: Approximate computation of projection depths

Rainer Dyckerhoff, Pavlo Mozharovskyi, Stanislav Nagy

Subjects: Computation (stat.CO)

[328] arXiv:2007.08047 [pdf, other]

Title: Heterogeneity Learning for SIRS model: an Application to the COVID-19

Guanyu Hu, Junxian Geng

Subjects: Applications (stat.AP); Physics and Society (physics.soc-ph); Populations and Evolution (q-bio.PE)

[329] arXiv:2007.08137 [pdf, other]

Title: Optimal Robust Linear Regression in Nearly Linear Time

Yeshwanth Cherapanamjeri, Efe Aras, Nilesh Tripuraneni, Michael I. Jordan, Nicolas Flammarion, Peter L. Bartlett

Subjects: Machine Learning (stat.ML); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG)

[330] arXiv:2007.08160 [pdf, other]

Title: The rule of conditional probability is valid in quantum theory [Comment on Gelman & Yao's "Holes in Bayesian Statistics"]

P.G.L. Porta Mana

Comments: V2: 14 pages, corrected typos, added references and some colour. V3: added and updated references

Subjects: Other Statistics (stat.OT); Quantum Physics (quant-ph)

[331] arXiv:2007.08189 [pdf, other]

Title: Do-search -- a tool for causal inference and study design with multiple data sources

Juha Karvanen, Santtu Tikka, Antti Hyttinen

Journal-ref: Epidemiology, 32(1), 111-119, 2020

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

[332] arXiv:2007.08190 [pdf, other]

Title: Principled Selection of Baseline Covariates to Account for Censoring in Randomized Trials with a Survival Endpoint

Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt

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

[333] arXiv:2007.08209 [pdf, other]

Title: Prediction of the Subjective Impression of Passenger Car Roll Dynamics on the Driver Based on Frequency-Domain Characteristic Values

Andreas Apfelbeck, Stefan Wegner, Roman Henze, Ferit Küçükay

Comments: 27 pages, 7 figures

Subjects: Applications (stat.AP)

[334] arXiv:2007.08283 [pdf, other]

Title: Relative Feature Importance

Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup

Journal-ref: In Proceedings of the 2020 25th International Conference on Pattern Recognition (ICPR), 9318--9325

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

[335] arXiv:2007.08322 [pdf, other]

Title: Understanding Implicit Regularization in Over-Parameterized Single Index Model

Jianqing Fan, Zhuoran Yang, Mengxin Yu

Comments: major revision

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Methodology (stat.ME)

[336] arXiv:2007.08352 [pdf, other]

Title: On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis

Christian Röver, Ralf Bender, Sofia Dias, Christopher H. Schmid, Heinz Schmidli, Sibylle Sturtz, Sebastian Weber, Tim Friede

Comments: 42 pages, 10 figures, 20 tables

Journal-ref: Research Synthesis Methods, 12(4):448-474, 2021

Subjects: Methodology (stat.ME)

[337] arXiv:2007.08369 [pdf, other]

Title: Open-end nonparametric sequential change-point detection based on the retrospective CUSUM statistic

Mark Holmes, Ivan Kojadinovic

Comments: 41 pages, 7 figures, 3 tables, some typos fixed

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

[338] arXiv:2007.08406 [pdf, other]

Title: The role of collider bias in understanding statistics on racially biased policing

Norman Fenton, Martin Neil, Steven Frazier

Comments: 7 pages, 5 figures

Subjects: Applications (stat.AP); Artificial Intelligence (cs.AI)

[339] arXiv:2007.08458 [pdf, other]

Title: Spectral Simulation of Functional Time Series

Tomáš Rubín, Victor M. Panaretos

Comments: 29 pages, 10 figures

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

[340] arXiv:2007.08477 [pdf, other]

Title: Sparsity-Agnostic Lasso Bandit

Min-hwan Oh, Garud Iyengar, Assaf Zeevi

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

[341] arXiv:2007.08484 [pdf, other]

Title: Estimation of surface area

Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman

Subjects: Statistics Theory (math.ST)

[342] arXiv:2007.08569 [pdf, other]

Title: Extended Stochastic Block Models with Application to Criminal Networks

Sirio Legramanti, Tommaso Rigon, Daniele Durante, David B. Dunson

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

[343] arXiv:2007.08584 [pdf, other]

Title: Self-Tuning Bandits over Unknown Covariate-Shifts

Joseph Suk, Samory Kpotufe

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

[344] arXiv:2007.08588 [pdf, other]

Title: Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes

Emily C. Hector, Peter X.-K. Song

Comments: 49 pages, 1 figure

Journal-ref: Journal of Machine Learning Research, 21(173):1-35, 2020

Subjects: Statistics Theory (math.ST)

[345] arXiv:2007.08594 [pdf, other]

Title: Integration of Survival Data from Multiple Studies

Steffen Ventz, Rahul Mazumder, Lorenzo Trippa

Comments: 5 figures

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

[346] arXiv:2007.08623 [pdf, other]

Title: Variable selection in sparse GLARMA models

M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet

Comments: arXiv admin note: substantial text overlap with arXiv:1907.07085

Subjects: Methodology (stat.ME)

[347] arXiv:2007.08648 [pdf, other]

Title: Predicting the Number of Future Events

Qinglong Tian, Fanqi Meng, Daniel J. Nordman, William Q. Meeker

Subjects: Methodology (stat.ME)

[348] arXiv:2007.08675 [pdf, other]

Title: Coefficients of Determination for Mixed-Effects Models

Dabao Zhang

Subjects: Methodology (stat.ME)

[349] arXiv:2007.08711 [pdf, other]

Title: Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data

Yu Liang, Arin Chaudhuri, Haoyu Wang

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

[350] arXiv:2007.08719 [pdf, other]

Title: Mapping unobserved item-respondent interactions: A latent space item response model with interaction map

Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger, Samuel Baugh

Journal-ref: Psychometrika (2021)

Subjects: Methodology (stat.ME)