Methodology

Authors and titles for April 2022

[151] arXiv:2204.14112 [pdf, other]

Title: Multiscale Partial Information Decomposition of Dynamic Processes with Short and Long-range correlations: Theory and Application to Cardiovascular Control

Helder Pinto, Riccardo Pernice, Maria Eduarda Silva, Michal Javorka, Luca Faes, Ana Paula Rocha

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

[152] arXiv:2204.14121 [pdf, other]

Title: Inverse Probability Weighting: from Survey Sampling to Evidence Estimation

Jyotishka Datta, Nicholas Polson

Comments: 25 pages, 4 figures. Added another simulation study and clarified the assumptions needed for the proof of consistency

Subjects: Methodology (stat.ME)

[153] arXiv:2204.14156 [pdf, other]

Title: Redefining Populations of Inference for Generalizations from Small Studies

Wendy Chan, Jimin Oh, Katherine J. Wilson

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

[154] arXiv:2204.14165 [pdf, other]

Title: Distributed Inference for Spatial Extremes Modeling in High Dimensions

Emily C. Hector, Brian J. Reich

Comments: 41 pages, 9 figures, 4 tables

Subjects: Methodology (stat.ME)

[155] arXiv:2204.14214 [pdf, other]

Title: Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations

Nadja Klein, Göran Kauermann

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

[156] arXiv:2204.00492 (cross-list from cs.LG) [pdf, other]

Title: Provable concept learning for interpretable predictions using variational autoencoders

Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang

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

[157] arXiv:2204.00572 (cross-list from physics.data-an) [pdf, other]

Title: Fractal and multifractal descriptors restore ergodicity broken by non-Gaussianity in time series

Damian G. Kelty-Stephen, Madhur Mangalam

Comments: 33 pages, 11 figures. arXiv admin note: text overlap with arXiv:2202.01091

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)

[158] arXiv:2204.00651 (cross-list from stat.AP) [pdf, other]

Title: Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling

Emily T. Wang, Sharon Chiang, Zulfi Haneef, Vikram R. Rao, Robert Moss, Marina Vannucci

Comments: Annals of Applied Statistics (2022)

Journal-ref: Annals of Applied Statistics, 17(1), 333-356 (2023)

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

[159] arXiv:2204.01102 (cross-list from cs.CR) [pdf, other]

Title: Formal Privacy for Partially Private Data

Jeremy Seeman, Matthew Reimherr, Aleksandra Slavkovic

Comments: 34 pages, 4 figures; submitted to JMLR

Subjects: Cryptography and Security (cs.CR); Methodology (stat.ME)

[160] arXiv:2204.01361 (cross-list from stat.ML) [pdf, other]

Title: Discretely Indexed Flows

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer

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

[161] arXiv:2204.01543 (cross-list from cs.LG) [pdf, other]

Title: Causality, Causal Discovery, and Causal Inference in Structural Engineering

M.Z. Naser

Journal-ref: 2023

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

[162] arXiv:2204.01646 (cross-list from stat.CO) [pdf, other]

Title: A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions

Vaidehi Dixit, Ryan Martin

Comments: 22 pages, 5 figures, 1 table

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

[163] arXiv:2204.01668 (cross-list from stat.CO) [pdf, other]

Title: Scalable Spike-and-Slab

Niloy Biswas, Lester Mackey, Xiao-Li Meng

Comments: Accepted to ICML 2022. Open-source software in Python and R available at this https URL

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

[164] arXiv:2204.01683 (cross-list from econ.EM) [pdf, other]

Title: Kernel-weighted specification testing under general distributions

Sid Kankanala, Victoria Zinde-Walsh

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

[165] arXiv:2204.01846 (cross-list from cs.CL) [pdf, other]

Title: Probabilistic Embeddings with Laplacian Graph Priors

Väinö Yrjänäinen, Måns Magnusson

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)

[166] arXiv:2204.01887 (cross-list from stat.CO) [pdf, other]

Title: Hybrid Probabilistic-Snowball Sampling

Giulio Cantone, Venera Tomaselli

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

[167] arXiv:2204.02299 (cross-list from math.ST) [pdf, other]

Title: Theoretical properties of Bayesian Student-$t$ linear regression

Philippe Gagnon, Yoshiko Hayashi

Journal-ref: Statistics & Probability Letters, 193, 1-8 (2023)

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

[168] arXiv:2204.02351 (cross-list from cs.LG) [pdf, other]

Title: Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling

Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuang Huang, Henry Lam, Bo Li, Ding Zhao

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

[169] arXiv:2204.02954 (cross-list from math.PR) [pdf, other]

Title: Strongly convergent homogeneous approximations to inhomogeneous Markov jump processes and applications

Martin Bladt, Oscar Peralta

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

[170] arXiv:2204.03285 (cross-list from math.ST) [pdf, other]

Title: Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions

Rutger van der Spek, Alexis Derumigny

Comments: 61 pages, 13 figures

Subjects: Statistics Theory (math.ST); Statistical Finance (q-fin.ST); Methodology (stat.ME)

[171] arXiv:2204.03343 (cross-list from eess.SP) [pdf, other]

Title: Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations

Shunan Sheng, Qikun Xiang, Ido Nevat, Ariel Neufeld

Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Methodology (stat.ME)

[172] arXiv:2204.03345 (cross-list from stat.AP) [pdf, other]

Title: A tutorial for using propensity score weighting for moderation analysis: an application to smoking disparities among sexual minority adults

Beth Ann Griffin, Megan S. Schuler, Matt Cefalu, Lynsay Ayer, Mark Godley, Noah Greifer, Donna L. Coffman, Daniel McCaffrey

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

[173] arXiv:2204.03505 (cross-list from cs.IR) [pdf, other]

Title: Integrating Rankings into Quantized Scores in Peer Review

Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh

Comments: 14 main pages, 7 appendix pages

Subjects: Information Retrieval (cs.IR); Methodology (stat.ME)

[174] arXiv:2204.04648 (cross-list from stat.ML) [pdf, other]

Title: Gaussian Processes for Missing Value Imputation

Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López, Isabel Benavente-Fernández

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

[175] arXiv:2204.04753 (cross-list from stat.CO) [pdf, other]

Title: Dynamic latent space relational event model

Igor Artico, Ernst C. Wit

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

[176] arXiv:2204.04808 (cross-list from stat.CO) [pdf, other]

Title: Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC

Guanyang Wang, Tianze Wang

Comments: add additional experiments, rewrite part of the introduction, add more references

Subjects: Computation (stat.CO); Numerical Analysis (math.NA); Methodology (stat.ME)

[177] arXiv:2204.05680 (cross-list from math.ST) [pdf, other]

Title: Anytime-valid sequential testing for elicitable functionals via supermartingales

Philippe Casgrain, Martin Larsson, Johanna Ziegel

Comments: 36 pages, 3 figures

Subjects: Statistics Theory (math.ST); Risk Management (q-fin.RM); Methodology (stat.ME)

[178] arXiv:2204.05699 (cross-list from cs.LG) [pdf, other]

Title: Unsupervised Anomaly and Change Detection with Multivariate Gaussianization

José A. Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls

Journal-ref: IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, 2022, Art no. 5513010

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Computational Physics (physics.comp-ph); Methodology (stat.ME)

[179] arXiv:2204.06032 (cross-list from q-bio.PE) [pdf, other]

Title: Evolutionary shift detection with ensemble variable selection

Wensha Zhang, Toby Kenney, Lam Si Tung Ho

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

[180] arXiv:2204.06264 (cross-list from math.ST) [pdf, other]

Title: Generalization Error Bounds for Multiclass Sparse Linear Classifiers

Tomer Levy, Felix Abramovich

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

[181] arXiv:2204.06544 (cross-list from stat.AP) [pdf, other]

Title: Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents

Georgia Papacharalampous, Hristos Tyralis, Yannis Markonis, Petr Maca, Martin Hanel

Journal-ref: Progress in Earth and Planetary Science 10 (2023) 46

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

[182] arXiv:2204.07124 (cross-list from stat.ML) [pdf, other]

Title: Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine

Theresa Blümlein, Joel Persson, Stefan Feuerriegel

Comments: 24 pages, 4 figures

Journal-ref: In Machine Learning for Healthcare Conference (pp. 146-171). PMLR 2022

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

[183] arXiv:2204.07172 (cross-list from stat.ML) [pdf, other]

Title: Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini

Comments: Accepted for publication in TMLR

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

[184] arXiv:2204.07352 (cross-list from cs.LG) [pdf, other]

Title: A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations

Irene Balelli, Santiago Silva, Marco Lorenzi

Comments: Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) this https URL

Journal-ref: Journal of Machine Learning for Biomedical Imaging. 2022:012. pp 1-36. Special Issue: Information Processing in Medical Imaging (IPMI) 2021

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Applications (stat.AP); Methodology (stat.ME)

[185] arXiv:2204.07672 (cross-list from econ.EM) [pdf, other]

Title: Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect

Tymon Słoczyński, S. Derya Uysal, Jeffrey M. Wooldridge

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

[186] arXiv:2204.08356 (cross-list from econ.EM) [pdf, html, other]

Title: Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes

Federico Bugni, Ivan Canay, Azeem Shaikh, Max Tabord-Meehan

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

[187] arXiv:2204.08402 (cross-list from math.ST) [pdf, other]

Title: Rank Based Tests for High Dimensional White Noise

Dachuan Chen, Fengyi Song, Long Feng

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

[188] arXiv:2204.08574 (cross-list from stat.ML) [pdf, other]

Title: Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models

Yinan Li, Fang Liu

Comments: Accepted by IEEE-COMPSAC 2022 Computers, Software & Applications in an Uncertain World

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

[189] arXiv:2204.09097 (cross-list from math.ST) [pdf, other]

Title: Information-theoretic Limits for Testing Community Structures in Weighted Networks

Mingao Yuan, Zuofeng Shang

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

[190] arXiv:2204.09155 (cross-list from stat.ML) [pdf, other]

Title: Approximating Persistent Homology for Large Datasets

Yueqi Cao, Anthea Monod

Comments: 24 pages, 9 figures

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

[191] arXiv:2204.10159 (cross-list from stat.OT) [pdf, other]

Title: Physical, subjective and analogical probability

Russell J. Bowater

Comments: Possibly the final version. arXiv admin note: text overlap with arXiv:1810.10972

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

[192] arXiv:2204.10227 (cross-list from cs.LG) [pdf, other]

Title: The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models

Michele Bennett, Jaya Balusu, Karin Hayes, Ewa J. Kleczyk

Comments: 21 pages with references. 5 figures

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

[193] arXiv:2204.10359 (cross-list from math.ST) [pdf, other]

Title: Boundary Adaptive Local Polynomial Conditional Density Estimators

Matias D. Cattaneo, Rajita Chandak, Michael Jansson, Xinwei Ma

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

[194] arXiv:2204.10375 (cross-list from stat.CO) [pdf, html, other]

Title: lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators

Matias D. Cattaneo, Rajita Chandak, Michael Jansson, Xinwei Ma

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

[195] arXiv:2204.10472 (cross-list from math.DS) [pdf, other]

Title: Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation

Baolei Wei

Subjects: Dynamical Systems (math.DS); Systems and Control (eess.SY); Methodology (stat.ME)

[196] arXiv:2204.10793 (cross-list from stat.CO) [pdf, other]

Title: Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions

Natesh S. Pillai

Comments: 23 pages. arXiv admin note: substantial text overlap with arXiv:1103.0542

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

[197] arXiv:2204.10975 (cross-list from stat.ML) [pdf, other]

Title: Spherical Rotation Dimension Reduction with Geometric Loss Functions

Hengrui Luo, Jeremy E. Purvis, Didong Li

Comments: 60 pages

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

[198] arXiv:2204.11097 (cross-list from cs.SI) [pdf, other]

Title: The SCORE normalization, especially for highly heterogeneous network and text data

Zheng Tracy Ke, Jiashun Jin

Comments: 34 pages, 5 figures, 7 tables

Subjects: Social and Information Networks (cs.SI); Methodology (stat.ME)

[199] arXiv:2204.11748 (cross-list from econ.EM) [pdf, other]

Title: Optimal Decision Rules when Payoffs are Partially Identified

Timothy Christensen, Hyungsik Roger Moon, Frank Schorfheide

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

[200] arXiv:2204.12319 (cross-list from math.ST) [pdf, other]

Title: Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence

Duyeol Lee, Helal El-Zaatari, Michael R. Kosorok, Xinyi Li, Kai Zhang

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