Statistics

Authors and titles for December 2019

[401] arXiv:1912.12228 [pdf, other]

Title: Bayesian joint modeling of chemical structure and dose response curves

Kelly R. Moran, David Dunson, Matthew W. Wheeler, Amy H. Herring

Subjects: Applications (stat.AP)

[402] arXiv:1912.12274 [pdf, other]

Title: Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities

J M Gorriz, SiPBA Group, CAM neuroscience

Comments: 18 pages, 10 figures, prepared to be submitted to journal

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Applications (stat.AP)

[403] arXiv:1912.12275 [pdf, other]

Title: A general statistical model for waiting times until collapse of a system

Vivianne Olguín-Arias, Sergio Davis, Gonzalo Gutiérrez

Subjects: Applications (stat.AP)

[404] arXiv:1912.12353 [pdf, other]

Title: Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset

Kevin He, Ji Zhu, Jian Kang, Yi Li

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

[405] arXiv:1912.12356 [pdf, other]

Title: Spatial risk estimation in Tweedie compound Poisson double generalized linear models

Aritra Halder, Shariq Mohammed, Kun Chen, Dipak Dey

Comments: 34 pages, 10 figures and 12 tables

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

[406] arXiv:1912.12413 [pdf, other]

Title: Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep

Jean Feng, Scott Emerson, Noah Simon

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

[407] arXiv:1912.12446 [pdf, other]

Title: Handling cellwise outliers by sparse regression and robust covariance

Jakob Raymaekers, Peter J. Rousseeuw

Journal-ref: Journal of Data Science, Statistics, and Visualisation, 2021, issue 3

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

[408] arXiv:1912.12550 [pdf, other]

Title: Robust Variable Selection Criteria for the Penalized Regression

Abhijit Mandal, Samiran Ghosh

Comments: 27 pages, 1 figure

Subjects: Methodology (stat.ME)

[409] arXiv:1912.12569 [pdf, other]

Title: Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation

Yan Wang, Xiaowei Yue, Rui Tuo, Jeffrey H. Hunt, Jianjun Shi

Comments: 25 pages, 7 figures, 5 tables

Subjects: Applications (stat.AP)

[410] arXiv:1912.12571 [pdf, other]

Title: Focused Bayesian Prediction

Ruben Loaiza-Maya, Gael M. Martin, David T. Frazier

Subjects: Methodology (stat.ME); General Economics (econ.GN); Applications (stat.AP)

[411] arXiv:1912.12615 [pdf, html, other]

Title: Approximating intractable short ratemodel distribution with neural network

Anna Knezevic, Nikolai Dokuchaev

Comments: Incorrect methodology for generation of stochastic scenarios

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Mathematical Finance (q-fin.MF)

[412] arXiv:1912.12694 [pdf, other]

Title: Bayesian inference for nonlinear inverse problems

Vladimir Spokoiny

Comments: arXiv admin note: substantial text overlap with arXiv:1910.06028

Subjects: Statistics Theory (math.ST)

[413] arXiv:1912.12755 [pdf, other]

Title: Stochastic Approximation EM for Exploratory Item Factor Analysis

Eugene Geis

Comments: 131 pages, 57 figures, A dissertation for completion of PhD in psychometrics at Rutgers Graduate School of Education

Journal-ref: Statistics in Medicine, Volume 38, Issue 21, page 3997 (2019)

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

[414] arXiv:1912.12761 [pdf, other]

Title: Optimal Uncertainty-guided Neural Network Training

H M Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan

Journal-ref: Applied Soft Computing, 2021

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

[415] arXiv:1912.12776 [pdf, other]

Title: Iterated Jackknives and Two-Sided Variance Inequalities

Olivier Bousquet, Christian Houdré

Comments: This paper has appeared in High Dimensional Probability VIII, Part of the Progress in Probability book series (PRPR, volume 74), Pages 33-40. Some typos have been corrected and slight corrections made

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

[416] arXiv:1912.12783 [pdf, other]

Title: Numerical Method for Parameter Inference of Nonlinear ODEs with Partial Observations

Yu Chen, Jin Cheng, Arvind Gupta, Huaxiong Huang, Shixin Xu

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

[417] arXiv:1912.12867 [pdf, other]

Title: Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data

Xi Chen, Ye Luo, Martin Spindler

Comments: 18 pages, 1 figure, 6 tables

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

[418] arXiv:1912.12870 [pdf, other]

Title: Random Surface Covariance Estimation by Shifted Partial Tracing

Tomas Masak, Victor M. Panaretos

Comments: 51 pages, 9 figures

Subjects: Methodology (stat.ME)

[419] arXiv:1912.12880 [pdf, other]

Title: The Concordance coefficient: An alternative to the Kruskal-Wallis test

Juan Francisco Monge

Subjects: Methodology (stat.ME)

[420] arXiv:1912.12894 [pdf, other]

Title: On a simultaneous parameter inference and missing data imputation for nonstationary autoregressive models

Dimitri Igdalov, Olga Kaiser, Ilia Horenko

Subjects: Methodology (stat.ME)

[421] arXiv:1912.12912 [pdf, other]

Title: Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles

Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl

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

[422] arXiv:1912.12923 [pdf, other]

Title: Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning

Shi-Ju Ran

Comments: 7 pages, 5 figures; in the second version, results of the BTN with a new structure were added; other modifications including the formulation of Bayes' equation in tensor forms were made

Subjects: Machine Learning (stat.ML); Strongly Correlated Electrons (cond-mat.str-el); Machine Learning (cs.LG); Statistics Theory (math.ST)

[423] arXiv:1912.12937 [pdf, other]

Title: Globally Optimal And Adaptive Short-Term Forecast of Locally Stationary Time Series And A Test for Its Stability

Xiucai Ding, Zhou Zhou

Subjects: Statistics Theory (math.ST)

[424] arXiv:1912.12945 [pdf, other]

Title: Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond

Nathan Kallus, Xiaojie Mao, Masatoshi Uehara

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

[425] arXiv:1912.12979 [pdf, other]

Title: Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data

Corinne Jones, Vincent Roulet, Zaid Harchaoui

Comments: Published in Statistics and Computing, 2022

Journal-ref: Stat Comput 32, 17 (2022)

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

[426] arXiv:1912.12988 [pdf, other]

Title: Outlier Detection and Data Clustering via Innovation Search

Mostafa Rahmani, Ping Li

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

[427] arXiv:1912.13027 [pdf, other]

Title: All-or-Nothing Phenomena: From Single-Letter to High Dimensions

Galen Reeves, Jiaming Xu, Ilias Zadik

Comments: This paper was presented at the 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, French West Indies

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

[428] arXiv:1912.13063 [pdf, other]

Title: Variable Length Markov Chain with Exogenous Covariates

Adriano Zanin Zambom, Seonjin Kim, Nancy Lopes Garcia

Subjects: Methodology (stat.ME)

[429] arXiv:1912.13076 [pdf, other]

Title: Expanding the scope of statistical computing: Training statisticians to be software engineers

Alex Reinhart, Christopher R. Genovese

Comments: 22 pages

Journal-ref: Journal of Statistics and Data Science Education (2021), 29:sup1, S7-S15

Subjects: Computation (stat.CO); Other Statistics (stat.OT)

[430] arXiv:1912.13084 [pdf, other]

Title: B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing

Yi Zhao, Brian S. Caffo, Joshua B. Ewen

Subjects: Methodology (stat.ME)

[431] arXiv:1912.13119 [pdf, other]

Title: Clustering and Prediction with Variable Dimension Covariates

Garritt L. Page, Fernando A. Quintana, Peter Müller

Subjects: Methodology (stat.ME)

[432] arXiv:1912.13132 [pdf, other]

Title: Parallel cross-validation: a scalable fitting method for Gaussian process models

Florian Gerber, Douglas W. Nychka

Comments: 11 pages, 6 Figs. Under review

Subjects: Computation (stat.CO)

[433] arXiv:1912.13144 [pdf, other]

Title: A Dynamic Process Reference Model for Sparse Networks with Reciprocity

Carter T. Butts

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

[434] arXiv:1912.13151 [pdf, other]

Title: Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation

Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

Comments: ICLR 2020 (updated to fix a typo in Algorithm 1)

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

[435] arXiv:1912.13170 [pdf, other]

Title: Schr\"odinger Bridge Samplers

Espen Bernton, Jeremy Heng, Arnaud Doucet, Pierre E. Jacob

Comments: 53 pages and 9 figures

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

[436] arXiv:1912.13185 [pdf, other]

Title: Model-free Bootstrap for a General Class of Stationary Time Series

Yiren Wang, Dimitris N. Politis

Subjects: Statistics Theory (math.ST)

[437] arXiv:1912.13188 [pdf, other]

Title: On Testing for Biases in Peer Review

Ivan Stelmakh, Nihar B. Shah, Aarti Singh

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

[438] arXiv:1912.13242 [pdf, other]

Title: Statistical Models in Forensic Voice Comparison

Geoffrey Stewart Morrison, Ewald Enzinger, Daniel Ramos, Joaquín González-Rodríguez, Alicia Lozano-Díez

Comments: Morrison, G.S., Enzinger, E., Ramos, D., González-Rodríguez, J., Lozano-Díez, A. (2020). Statistical models in forensic voice comparison. In Banks, D.L., Kafadar, K., Kaye, D.H., Tackett, M. (Eds.) Handbook of Forensic Statistics (Ch. 20, pp. 451-497). Boca Raton, FL: CRC

Subjects: Applications (stat.AP); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[439] arXiv:1912.13289 [pdf, other]

Title: Bayesian Generalization Error of Poisson Mixture and Simplex Vandermonde Matrix Type Singularity

Kenichiro Sato, Sumio Watanabe

Comments: 33 pages

Subjects: Statistics Theory (math.ST)

[440] arXiv:1912.13292 [pdf, other]

Title: Confidence and discoveries with e-values

Vladimir Vovk, Ruodu Wang

Comments: 50 pages, 13 figures, and 5 tables

Journal-ref: Statistical Science 38, 329-354 (2023)

Subjects: Statistics Theory (math.ST)

[441] arXiv:1912.13351 [pdf, other]

Title: Driver fatigue EEG signals detection by using robust univariate analysis

Antonio Quintero-Rincon, Maria Eugenia Fontecha, Carlos D'Giano

Comments: 9 pages, 4 figures, 1 table, conference paper

Subjects: Applications (stat.AP); Signal Processing (eess.SP); Methodology (stat.ME)

[442] arXiv:1912.13377 [pdf, other]

Title: Finite-State Extreme Effect Variable

Alexey Drutsa

Comments: 15 pages; 2 figures; 1 table

Subjects: Machine Learning (stat.ML); Information Retrieval (cs.IR); Machine Learning (cs.LG); Probability (math.PR)

[443] arXiv:1912.13421 [pdf, other]

Title: Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model

Yasaman Mahdaviyeh, Zacharie Naulet

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

[444] arXiv:1912.13440 [pdf, other]

Title: Approximate Inference for Fully Bayesian Gaussian Process Regression

Vidhi Lalchand, Carl Edward Rasmussen

Comments: Presented at 2nd Symposium on Advances in Approximate Bayesian Inference 2019

Journal-ref: Proceedings of Machine Learning Research, Volume 118 (2019) 1-12

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

[445] arXiv:1912.13445 [pdf, other]

Title: Robust Aggregation for Federated Learning

Krishna Pillutla, Sham M. Kakade, Zaid Harchaoui

Journal-ref: IEEE Transactions on Signal Processing 70 (2022): 1142-1154

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

[446] arXiv:1912.13463 [pdf, other]

Title: Some compact notations for concentration inequalities and user-friendly results

Kaizheng Wang

Comments: 10 pages

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

[447] arXiv:1912.13515 [pdf, other]

Title: Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization

Huizhuo Yuan, Xiangru Lian, Ji Liu

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

[448] arXiv:1912.00003 (cross-list from eess.IV) [pdf, other]

Title: A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients

David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein

Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Machine Learning (stat.ML)

[449] arXiv:1912.00009 (cross-list from cs.NE) [pdf, other]

Title: MSTDP: A More Biologically Plausible Learning

Shiyuan Li

Comments: 9 pages, 3 figures

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)

[450] arXiv:1912.00020 (cross-list from cs.LG) [pdf, other]

Title: Model Embedded DRL for Intelligent Greenhouse Control

Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu

Comments: Submitted to AAAI-20 Workshop on Artificial Intelligence of Things

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)