Works matching IS 20491573 AND DT 2021 AND VI 10 AND IP 1

Results: 28

Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.364

By:

Rindt, David;
Sejdinovic, Dino;
Steinsaltz, David

Publication type:

Article

Convergence rate for nonparametric quantile regression with a total variation penalty.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.361

By:

Jiamin Liu;
Wangli Xu;
Heng Lian

Publication type:

Article

Joint estimation of gradual variance changepoint for panel data with common structures.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.359

By:

Wanfeng Liang;
Yunfei Guo;
Yue Wu

Publication type:

Article

When will gradient methods converge to max-margin classifier under ReLU models?

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.354

By:

Tengyu Xu;
Yi Zhou;
Kaiyi Ji;
Yingbin Liang

Publication type:

Article

MuSP: A multistep screening procedure for sparse recovery.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.352

By:

Yuehan Yang;
Ji Zhu;
George, Edward I.

Publication type:

Article

Efficient split likelihood-based method for community detection of large-scale networks.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.349

By:

Jiangzhou Wang;
Binghui Liu;
Jianhua Guo

Publication type:

Article

Forecasting hurricane-related power outages via locally optimized random forests.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.346

By:

Coleman, Tim;
Dorn, Mary Frances;
Kaufeld, Kim;
Mentch, Lucas

Publication type:

Article

Predicting lifespan of Drosophila melanogaster: A novel application of convolutional neural networks and zero-inflated autoregressive conditional Poisson model.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.345

By:

Yi Zhang;
Samaranayake, V. A.;
Olbricht, Gayla R.;
Thimgan, Matthew

Publication type:

Article

Weight normalized deep neural networks.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.344

By:

Yixi Xui;
Xiao Wang

Publication type:

Article

Bayesian inference for polycrystalline materials.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.340

By:

Matuk, James;
Chkrebtii, Oksana;
Niezgoda, Stephen R.

Publication type:

Article

Likelihood-based inference for generalized linear mixed models: Inference with the R package glmm.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.339

By:

Knudson, Christina;
Benson, Sydney;
Geyer, Charles;
Jones, Galin

Publication type:

Article

Hosting a data science hackathon with limited resources.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.338

By:

Kuter, Kristin;
Wedrychowicz, Christopher

Publication type:

Article

Statistical significance calculations for scenarios in visual inference.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.337

By:

VanderPlas, Susan;
Röttger, Christian;
Cook, Dianne;
Hofmann, Heike

Publication type:

Article

Better together: Extending JMP® with open-source software.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.336

By:

Abousalh-Neto, Nascif;
Guan, Meijian;
Hummel, Ruth

Publication type:

Article

Data visualization case studies for high-dimensional data validation.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.334

By:

Williams, Aaron R.

Publication type:

Article

Creating optimal conditions for reproducible data analysis in R with 'fertile'.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.332

By:

Bertin, Audrey M.;
Baumer, Benjamin S.

Publication type:

Article

Modern multiple imputation with functional data.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.331

By:

Rao, Aniruddha Rajendra;
Reimherr, Matthew

Publication type:

Article

VtNet: A neural network with variable importance assessment.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.325

By:

Lixiang Zhang;
Lin Lin;
Jia Li

Publication type:

Article

Closed-form expressions for maximum mean discrepancy with applications to Wasserstein auto-encoders.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.329

By:

Rustamov, Raif M.

Publication type:

Article

Forecasting subnational COVID-19 mortality using a day-of-the-week adjusted Bayesian hierarchical model.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.328

By:

Slater, Justin J.;
Brown, Patrick E.;
Rosenthal, Jeffrey S.

Publication type:

Article

Gradual variance change point detection with a smoothly changing mean trend.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.327

By:

Wanfeng Liang;
Libai Xu

Publication type:

Article

Causal inference in the presence of missing data using a random forest-based matching algorithm.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.326

By:

Hillis, Tristan;
Guarcello, Maureen A.;
Levine, Richard A.;
Juanjuan Fan

Publication type:

Article

Functional singular spectrum analysis.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.330

By:

Haghbin, Hossein;
Najibi, Seyed Morteza;
Mahmoudvand, Rahim;
Trinka, Jordan;
Maadooliat, Mehdi

Publication type:

Article

Self-supervised learning for outlier detection.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.322

By:

Diers, Jan;
Pigorsch, Christian

Publication type:

Article

Linear screening for high-dimensional computer experiments.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.320

By:

Chunya Li;
Daijun Chen;
Shifeng Xiong

Publication type:

Article

Visual tests for elliptically symmetric distributions.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.319

By:

Guha, Pritha;
Chakraborty, Biman

Publication type:

Article

Nonasymptotic support recovery for high-dimensional sparse covariance matrices.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.316

By:

Kashlak, Adam B.;
Linglong Kong

Publication type:

Article

Expectile regression via deep residual networks.

Published in:

Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.315

By:

Yiyi Yin;
Hui Zou

Publication type:

Article