Statistics

Authors and titles for March 2021

[201] arXiv:2103.05299 [pdf, other]

Title: Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition

Anna Bonnet (LPSM (UMR\_8001)), Miguel Martinez Herrera (LPSM (UMR\_8001)), Maxime Sangnier (LPSM (UMR\_8001))

Journal-ref: Statistics and Probability Letters, Elsevier, 2021

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

[202] arXiv:2103.05325 [pdf, other]

Title: An analysis of European crash data and scenario specification for heavy truck safety system development within the AEROFLEX project

Ron Schindler, Michael Jänsch, Heiko Johannsen, András Bálint

Comments: Proceedings of 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland

Subjects: Applications (stat.AP)

[203] arXiv:2103.05331 [pdf, other]

Title: Active Testing: Sample-Efficient Model Evaluation

Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth

Comments: Published at the 38th International Conference on Machine Learning (ICML 2021)

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

[204] arXiv:2103.05499 [pdf, other]

Title: Lessons Learned from the Bayesian Design and Analysis for the BNT162b2 COVID-19 Vaccine Phase 3 Trial

Yuan Ji, Shijie Yuan

Comments: COVID-19, Bayesian credible interval, Confidence interval

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

[205] arXiv:2103.05557 [pdf, other]

Title: Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions

Georgia Papadogeorgou, Carolina Bello, Otso Ovaskainen, David B. Dunson

Subjects: Methodology (stat.ME)

[206] arXiv:2103.05574 [pdf, other]

Title: On testing mean proportionality of multivariate normal variables

Etaash Katiyar, Qingyuan Zhao

Comments: 8 pages

Subjects: Statistics Theory (math.ST)

[207] arXiv:2103.05684 [pdf, other]

Title: Monotonic Alpha-divergence Minimisation for Variational Inference

Kamélia Daudel, Randal Douc, François Roueff

Journal-ref: Journal of Machine Learning Research, 24(62):1-76, 2023

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

[208] arXiv:2103.05689 [pdf, other]

Title: Design Principles for Data Analysis

Lucy D'Agostino McGowan, Roger D. Peng, Stephanie C. Hicks

Comments: arXiv admin note: text overlap with arXiv:1903.07639

Subjects: Methodology (stat.ME); Applications (stat.AP); Other Statistics (stat.OT)

[209] arXiv:2103.05692 [pdf, other]

Title: Quantifying Sufficient Randomness for Causal Inference

Brian Knaeble, Braxton Osting, Placede Tshiaba

Comments: 22 pages, 4 figures, 2 tables

Subjects: Methodology (stat.ME)

[210] arXiv:2103.05706 [pdf, html, other]

Title: A sampling criterion for constrained Bayesian optimization with uncertainties

Reda El Amri, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet, Sébastien Da Veiga

Comments: to appear in SMAI Journal of Computational Mathematics, Vol.9, pp. 285-309

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

[211] arXiv:2103.05747 [pdf, other]

Title: Asymptotic posterior normality of the generalized extreme value distribution

Likun Zhang, Benjamin A. Shaby

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

[212] arXiv:2103.05765 [pdf, other]

Title: Longitudinal Mediation Analysis with Latent Growth Curves

Adam J. Sullivan, Douglas D. Gunzler, Nathan Morris, Tyler J. VanderWeele

Subjects: Methodology (stat.ME)

[213] arXiv:2103.05766 [pdf, other]

Title: Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests

Burim Ramosaj

Comments: 20 pages including four figures in the main article. Supplementary material available

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

[214] arXiv:2103.05775 [pdf, other]

Title: Bias and sensitivity analysis for unmeasured confounders in linear structural equation models

Adam J. Sullivan, Tyler J. VanderWeele

Subjects: Methodology (stat.ME)

[215] arXiv:2103.05791 [pdf, other]

Title: Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: a study of long-term daily temperature in Australia

Qibin Duan, Clare A. McGrory, Glenn Brown, Kerrie Mengersen, You-Gan Wang

Comments: 30 pages, 10 figures, and 3 tables

Subjects: Applications (stat.AP)

[216] arXiv:2103.05856 [pdf, other]

Title: Bayesian Poisson Mortality Projections with Incomplete Data

Rui Gong, Xiaoqian Sun, Leping Liu, Yu-Bo Wang

Subjects: Methodology (stat.ME)

[217] arXiv:2103.05909 [pdf, html, other]

Title: A variational inference framework for inverse problems

Luca Maestrini, Robert G. Aykroyd, Matt P. Wand

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

[218] arXiv:2103.05915 [pdf, other]

Title: A cautionary note on the Hanurav-Vijayan sampling algorithm

Guillaume Chauvet (IRMAR)

Subjects: Methodology (stat.ME)

[219] arXiv:2103.06023 [pdf, other]

Title: The efficacy of tournament designs

Balázs R. Sziklai, Péter Biró, László Csató

Comments: 26 pages, 8 figures, 3 tables

Journal-ref: Computers & Operations Research, 144: 105821, 2022

Subjects: Applications (stat.AP)

[220] arXiv:2103.06071 [pdf, other]

Title: Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications to ion channels

Laura Jula Vanegas, Benjamin Eltzner, Daniel Rudolf, Miroslav Dura, Stephan E. Lehnart, Axel Munk

Comments: 49 pages, 11 figures. An R package can be found at: this https URL

Subjects: Methodology (stat.ME)

[221] arXiv:2103.06148 [pdf, other]

Title: Stationary subspace analysis based on second-order statistics

Lea Flumian, Markus Matilainen, Klaus Nordhausen, Sara Taskinen

Journal-ref: Journal of Applied and Computational Mathematics, 436, 115379, 2024

Subjects: Methodology (stat.ME)

[222] arXiv:2103.06152 [pdf, other]

Title: Bayesian sequential data assimilation for COVID-19 forecasting

Maria L. Daza-Torres, Marcos A. Capistrán, Antonio Capella, J. Andrés Christen

Comments: 22 pages, 19 figures

Subjects: Applications (stat.AP); Populations and Evolution (q-bio.PE)

[223] arXiv:2103.06244 [pdf, other]

Title: Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events

Marc-Henri Bleu-Laine, Tejas G. Puranik, Dimitri N. Mavris, Bryan Matthews

Comments: 29 pages, 15 figures, 9 tables

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

[224] arXiv:2103.06261 [pdf, other]

Title: A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources

Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang

Comments: Accepted at ICML 2022. Previously titled "A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources"

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

[225] arXiv:2103.06323 [pdf, other]

Title: Parameter estimation in diffusion models with low regularity coefficients

Dmytro Ivanenko, Rostyslav Pogorielov

Subjects: Statistics Theory (math.ST)

[226] arXiv:2103.06324 [pdf, other]

Title: Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models

Zhumengmeng Jin, James P. Hobert

Comments: 48 pages

Subjects: Statistics Theory (math.ST); Computation (stat.CO)

[227] arXiv:2103.06328 [pdf, other]

Title: Profiling Compliers in Instrumental Variables Designs

Dominik Hangartner, Moritz Marbach, Leonard Henckel, Marloes H. Maathuis, Rachel R. Kelz, Luke Keele

Subjects: Methodology (stat.ME)

[228] arXiv:2103.06347 [pdf, html, other]

Title: Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series

Martin Ondrus, Emily Olds, Ivor Cribben

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

[229] arXiv:2103.06363 [pdf, other]

Title: A fusion learning method to subgroup analysis of Alzheimer's disease

Mingming Liu, Jing Yang, Yushi Liu, Bochao Jia, Yun-Fei Chen, Luna Sun, Shujie Ma

Subjects: Methodology (stat.ME)

[230] arXiv:2103.06368 [pdf, other]

Title: PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades

Meizi Liu, Yuan Ji, Ji Lin

Comments: 31 pages, 2 figures

Subjects: Methodology (stat.ME)

[231] arXiv:2103.06392 [pdf, other]

Title: Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model

Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie

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

[232] arXiv:2103.06420 [pdf, other]

Title: Estimation of Conditional Mean Operator under the Bandable Covariance Structure

Kwangmin Lee, Kyoungjae Lee, Jaeyong Lee

Subjects: Statistics Theory (math.ST)

[233] arXiv:2103.06421 [pdf, other]

Title: BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials

Xiaolei Lin, Jiaying Lyu, Shijie Yuan, Sue-Jane Wang, Yuan Ji

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

[234] arXiv:2103.06428 [pdf, other]

Title: Covariate-assisted Sparse Tensor Completion

Hilda S Ibriga, Will Wei Sun

Comments: To Appear in Journal of the American Statistical Association

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

[235] arXiv:2103.06471 [pdf, other]

Title: Causal inference with misspecified exposure mappings: separating definitions and assumptions

Fredrik Sävje

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

[236] arXiv:2103.06476 [pdf, html, other]

Title: Time-uniform central limit theory and asymptotic confidence sequences

Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward H. Kennedy, Aaditya Ramdas

Comments: 69 pages, 10 figures

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

[237] arXiv:2103.06567 [pdf, other]

Title: Likelihood-based Missing Data Analysis in Crossover Trials

Savita Pareek, Kalyan Das, Siuli Mukhopadhyay

Journal-ref: Brazilian Journal of Probability and Statistics, 37(2), 329-350, June 2023

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

[238] arXiv:2103.06585 [pdf, other]

Title: Simultaneous comparisons of treatments versus control (Dunnett-type tests) for location-scale alternatives

Ludwig A. Hothorn

Comments: 2 figures

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

[239] arXiv:2103.06606 [pdf, other]

Title: Multivariate Functional Additive Mixed Models

Alexander Volkmann, Almond Stöcker, Fabian Scheipl, Sonja Greven

Subjects: Methodology (stat.ME)

[240] arXiv:2103.06671 [pdf, other]

Title: Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks

Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

Comments: this https URL

Journal-ref: Transactions on Machine Learning Research, 2022

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

[241] arXiv:2103.06691 [pdf, other]

Title: Regression based thresholds in principal loading analysis

J. O. Bauer, B. Drabant

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

[242] arXiv:2103.06813 [pdf, other]

Title: COVID-19: Optimal Allocation of Ventilator Supply under Uncertainty and Risk

Xuecheng Yin, I. Esra Buyuktahtakin, Bhumi P. Patel

Comments: 35 pages, 6 figures, 10 tables, Under Review for a Journal

Subjects: Applications (stat.AP); Computational Engineering, Finance, and Science (cs.CE); Populations and Evolution (q-bio.PE)

[243] arXiv:2103.06845 [pdf, other]

Title: A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets

Fabio S. Ferreira, Agoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourao-Miranda

Comments: 52 pages, 18 figures (including supplementary material)

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

[244] arXiv:2103.06858 [pdf, other]

Title: Meta-analysis of dichotomous and ordinal tests without a gold standard

Enzo Cerullo, Hayley E. Jones, Olivia Carter, Terry J. Quinn, Nicola J. Cooper, Alex J. Sutton

Subjects: Applications (stat.AP)

[245] arXiv:2103.06923 [pdf, other]

Title: Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences

Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld

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

[246] arXiv:2103.06950 [pdf, other]

Title: The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain

Fergus Simpson, Alexis Boukouvalas, Vaclav Cadek, Elvijs Sarkans, Nicolas Durrande

Journal-ref: Artificial Intelligence and Statistics, 2021

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

[247] arXiv:2103.06979 [pdf, other]

Title: Parameter estimation in models generated by SDE's with symmetric alpha stable noise

D. O. Ivanenko, R. V. Pogorielov

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

[248] arXiv:2103.07005 [pdf, other]

Title: Bayesian nonparametric dynamic hazard rates in evolutionary life tables

Luis E. Nieto-Barajas

Subjects: Methodology (stat.ME)

[249] arXiv:2103.07020 [pdf, html, other]

Title: Max-Linear Regression by Convex Programming

Seonho Kim, Sohail Bahmani, Kiryung Lee

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

[250] arXiv:2103.07039 [pdf, other]

Title: Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data

Diego I. Gallardo, Marcelo Bourguignon, Yolanda M. Gómez, Christian Caamaño-Carrillo

Comments: 17 pag

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