Statistics

Authors and titles for August 2020

[401] arXiv:2008.12315 [pdf, other]

Title: Low-rank Characteristic Tensor Density Estimation Part I: Foundations

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

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

[402] arXiv:2008.12411 [pdf, other]

Title: A copula transformation in multivariate mixed discrete-continuous models

Jae Youn Ahn, Sebastian Fuchs, Rosy Oh

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

[403] arXiv:2008.12434 [pdf, other]

Title: On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix

T. Tony Cai, Rungang Han, Anru R. Zhang

Comments: Electronic Journal of Probability, to appear

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

[404] arXiv:2008.12438 [pdf, other]

Title: Exact and Approximation Algorithms for Sparse PCA

Yongchun Li, Weijun Xie

Comments: 49 pages, 1 figure

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

[405] arXiv:2008.12443 [pdf, other]

Title: Second Moment Estimator for An AR(1) Model Driven by A Long Memory Gaussian Noise

Yong Chen, Li Tian, Ying Li

Subjects: Statistics Theory (math.ST)

[406] arXiv:2008.12466 [pdf, other]

Title: Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data

Farhad Farokhi

Comments: updated reference list, deeper numerical analysis

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

[407] arXiv:2008.12467 [pdf, other]

Title: A Note on Debiased/Double Machine Learning Logistic Partially Linear Model

Molei Liu

Subjects: Methodology (stat.ME)

[408] arXiv:2008.12485 [pdf, other]

Title: An optimal linear filter for estimation of random functions in Hilbert space

Phil Howlett, Anatoli Totokhti

Subjects: Statistics Theory (math.ST); Functional Analysis (math.FA)

[409] arXiv:2008.12504 [pdf, other]

Title: BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals

Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

Comments: 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2020, San Diego, United States

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

[410] arXiv:2008.12625 [pdf, other]

Title: agtboost: Adaptive and Automatic Gradient Tree Boosting Computations

Berent Ånund Strømnes Lunde, Tore Selland Kleppe

Comments: 16 pages, 5 figures, 2 tables

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

[411] arXiv:2008.12662 [pdf, other]

Title: Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates

Radu V. Craiu, Xiao-Li Meng

Subjects: Computation (stat.CO)

[412] arXiv:2008.12682 [pdf, other]

Title: A Simple Algorithm for Exact Multinomial Tests

Johannes Resin

Comments: 27 pages

Journal-ref: J. Comput. Graph. Stat. 32 (2023) 539-550

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

[413] arXiv:2008.12774 [pdf, other]

Title: Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints

Tianyu Zhan, Yiwang Zhou, Ziqian Geng, Yihua Gu, Jian Kang, Li Wang, Xiaohong Huang, Elizabeth H. Slate

Subjects: Methodology (stat.ME)

[414] arXiv:2008.12802 [pdf, other]

Title: Hierarchical Marketing Mix Models with Sign Constraints

Hao Chen, Minguang Zhang, Lanshan Han, Alvin Lim

Journal-ref: Journal of Applied Statistics (2021)

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

[415] arXiv:2008.12807 [pdf, other]

Title: Causal mediation analysis decomposition of between-hospital variance

Bo Chen, Keith A. Lawson, Antonio Finelli, Olli Saarela

Journal-ref: Health Services and Outcomes Research Methodology volume 22, pages 118-144 (2022)

Subjects: Methodology (stat.ME)

[416] arXiv:2008.12812 [pdf, other]

Title: Estimation and Sensitivity Analysis for Causal Decomposition in Heath Disparity Research

Soojin Park, Chioun Lee, Xu Qin

Subjects: Methodology (stat.ME)

[417] arXiv:2008.12857 [pdf, other]

Title: Locally induced Gaussian processes for large-scale simulation experiments

D. Austin Cole, Ryan Christianson, Robert B. Gramacy

Comments: 34 pages, 10 figures

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

[418] arXiv:2008.12882 [pdf, other]

Title: Estimation in Tensor Ising Models

Somabha Mukherjee, Jaesung Son, Bhaswar B. Bhattacharya

Comments: 34 pages, 2 figures

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

[419] arXiv:2008.12885 [pdf, other]

Title: An autocovariance-based learning framework for high-dimensional functional time series

Jinyuan Chang, Cheng Chen, Xinghao Qiao, Qiwei Yao

Comments: 36 pages, 1 figure

Journal-ref: Journal of Econometrics 2024, Vol. 239, 105385

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

[420] arXiv:2008.12887 [pdf, other]

Title: Design of phase III trials with long-term survival outcomes based on short-term binary results

Marta Bofill Roig, Yu Shen, Guadalupe Gómez Melis

Journal-ref: Statistics in Medicine, 2021

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

[421] arXiv:2008.12892 [pdf, other]

Title: Model selection for estimation of causal parameters

Dominik Rothenhäusler

Subjects: Methodology (stat.ME)

[422] arXiv:2008.12919 [pdf, other]

Title: Low-Rank Covariance Function Estimation for Multidimensional Functional Data

Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang

Comments: 25 pages, 4 figures

Subjects: Methodology (stat.ME)

[423] arXiv:2008.12922 [pdf, other]

Title: Modulating Scalable Gaussian Processes for Expressive Statistical Learning

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang

Comments: 31 pages, 9 figures, 4 tables, preprint under review

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

[424] arXiv:2008.12927 [pdf, html, other]

Title: Broadcasted Nonparametric Tensor Regression

Ya Zhou, Raymond K. W. Wong, Kejun He

Subjects: Methodology (stat.ME)

[425] arXiv:2008.12974 [pdf, other]

Title: Real-time discriminant analysis in the presence of label and measurement noise

Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere, Peter J. Rousseeuw, Mia Hubert

Journal-ref: Chemometrics and Intelligent Laboratory Systems, 2021, Volume 208

Subjects: Methodology (stat.ME)

[426] arXiv:2008.12989 [pdf, other]

Title: Empirical Likelihood Weighted Estimation of Average Treatment Effects

Yuanyao Tan, Xialing Wen, Wei Liang, Ying Yan

Subjects: Methodology (stat.ME)

[427] arXiv:2008.12991 [pdf, other]

Title: Technical Issues in the Interpretation of S-values and Their Relation to Other Information Measures

Zad Rafi, Sander Greenland

Comments: 6 pages, 18 references

Subjects: Methodology (stat.ME)

[428] arXiv:2008.13005 [pdf, other]

Title: Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup

Marco Henrique de Almeida Inácio, Rafael Izbicki, Danilo Lourenço Lopes, Luis Ernesto Salasar, João Poloniato, Marcio Alves Diniz

Subjects: Applications (stat.AP)

[429] arXiv:2008.13033 [pdf, other]

Title: Precise Error Analysis of the LASSO under Correlated Designs

Ayed M. Alrashdi, Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

Subjects: Statistics Theory (math.ST); Information Theory (cs.IT)

[430] arXiv:2008.13038 [pdf, other]

Title: Loss convergence in a causal Bayesian neural network of retail firm performance

F. Trevor Rogers

Comments: 7 pages, 5 figures, 2 tables

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

[431] arXiv:2008.13042 [pdf, other]

Title: Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression

Marcelo J. Moreira, Geert Ridder

Comments: arXiv admin note: text overlap with arXiv:1705.00231

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

[432] arXiv:2008.13056 [pdf, other]

Title: Statistical Analysis of Multi-Relational Network Recovery

Zhi Wang, Xueying Tang, Jingchen Liu

Comments: 34 pages, 2 figures

Subjects: Statistics Theory (math.ST)

[433] arXiv:2008.13066 [pdf, other]

Title: Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression

Saumya Bhatnagar, Won Chang, Seonjin Kim Jiali Wang

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

[434] arXiv:2008.13068 [pdf, other]

Title: Modeling of Daily Precipitation Amounts Using the Mixed Gamma Weibull Distribution

Hsien-Wei Chen

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

[435] arXiv:2008.13087 [pdf, html, other]

Title: Efficient Nested Simulation Experiment Design via the Likelihood Ratio Method

Mingbin Ben Feng, Eunhye Song

Subjects: Methodology (stat.ME); Risk Management (q-fin.RM)

[436] arXiv:2008.13126 [pdf, other]

Title: Estimation of separable direct and indirect effects in continuous time

Torben Martinussen, Mats Julius Stensrud

Subjects: Methodology (stat.ME)

[437] arXiv:2008.13127 [pdf, other]

Title: The Dinegentropy of Diagnostic Tests

Nozer D. Singpurwalla, Boya Lai

Subjects: Methodology (stat.ME)

[438] arXiv:2008.13137 [pdf, other]

Title: Robust inference of conditional average treatment effects using dimension reduction

Ming-Yueh Huang, Shu Yang

Subjects: Methodology (stat.ME)

[439] arXiv:2008.13174 [pdf, other]

Title: Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors

Kyoungjae Lee, Minwoo Chae, Lizhen Lin

Subjects: Statistics Theory (math.ST)

[440] arXiv:2008.13296 [pdf, other]

Title: Improving Graduation Rate Estimates Using Regularly Updating Multi-Level Absorbing Markov Chains

Shahab Boumi, Adan Vela

Subjects: Applications (stat.AP)

[441] arXiv:2008.13372 [pdf, other]

Title: Note on approximating the Laplace transform of a Gaussian on a complex disk

Yury Polyanskiy, Yihong Wu

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

[442] arXiv:2008.13412 [pdf, other]

Title: Real-time Prediction of COVID-19 related Mortality using Electronic Health Records

Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer

Subjects: Applications (stat.AP); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)

[443] arXiv:2008.13424 [pdf, other]

Title: Likelihood-based inference for modelling packet transit from thinned flow summaries

Prosha A. Rahman, Boris Beranger, Matthew Roughan, Scott A. Sisson

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

[444] arXiv:2008.13443 [pdf, other]

Title: On the Quality Requirements of Demand Prediction for Dynamic Public Transport

Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira

Comments: 26 pages, 9 tables, 6 figures

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

[445] arXiv:2008.13473 [pdf, other]

Title: Goodness-of-fit tests for parametric regression models with circular response

Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras

Comments: 38 pages, 2 figures

Subjects: Methodology (stat.ME)

[446] arXiv:2008.13480 [pdf, other]

Title: Environmental contours as Voronoi cells

Andreas Hafver, Christian Agrell, Erik Vanem

Comments: 23 pages, 9 figures

Subjects: Computation (stat.CO)

[447] arXiv:2008.13558 [pdf, other]

Title: Simulation Framework for Realistic Large-scale Individual-level Data Generation with an Application in the Health Domain

Santtu Tikka, Jussi Hakanen, Mirka Saarela, Juha Karvanen

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

[448] arXiv:2008.13567 [pdf, other]

Title: Introduction to logistic regression

Moo K. Chung

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

[449] arXiv:2008.13619 [pdf, html, other]

Title: A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests

Jun-ichi Takeshita, Tomomichi Suzuki

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

[450] arXiv:2008.13620 [pdf, other]

Title: Estimating Individual Treatment Effects with Time-Varying Confounders

Ruoqi Liu, Changchang Yin, Ping Zhang

Comments: Accepted to ICDM 2020

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