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.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.364
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Convergence rate for nonparametric quantile regression with a total variation penalty.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.361
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Joint estimation of gradual variance changepoint for panel data with common structures.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.359
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When will gradient methods converge to max-margin classifier under ReLU models?
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.354
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MuSP: A multistep screening procedure for sparse recovery.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.352
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Efficient split likelihood-based method for community detection of large-scale networks.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.349
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Predicting lifespan of Drosophila melanogaster: A novel application of convolutional neural networks and zero-inflated autoregressive conditional Poisson model.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.345
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Forecasting hurricane-related power outages via locally optimized random forests.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.346
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Weight normalized deep neural networks.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.344
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Bayesian inference for polycrystalline materials.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.340
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Likelihood-based inference for generalized linear mixed models: Inference with the R package glmm.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.339
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Hosting a data science hackathon with limited resources.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.338
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Statistical significance calculations for scenarios in visual inference.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.337
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Better together: Extending JMP® with open-source software.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.336
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Data visualization case studies for high-dimensional data validation.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.334
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Creating optimal conditions for reproducible data analysis in R with 'fertile'.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.332
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VtNet: A neural network with variable importance assessment.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.325
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Self-supervised learning for outlier detection.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.322
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Modern multiple imputation with functional data.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.331
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Forecasting subnational COVID-19 mortality using a day-of-the-week adjusted Bayesian hierarchical model.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.328
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Gradual variance change point detection with a smoothly changing mean trend.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.327
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Causal inference in the presence of missing data using a random forest-based matching algorithm.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.326
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Functional singular spectrum analysis.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.330
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Closed-form expressions for maximum mean discrepancy with applications to Wasserstein auto-encoders.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.329
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Linear screening for high-dimensional computer experiments.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.320
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Visual tests for elliptically symmetric distributions.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.319
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Nonasymptotic support recovery for high-dimensional sparse covariance matrices.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.316
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Expectile regression via deep residual networks.
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- Stat, 2021, v. 10, n. 1, p. 1, doi. 10.1002/sta4.315
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