Works matching IS 00063444 AND DT 2023 AND VI 110 AND IP 2
Results: 16
Gradient-based sparse principal component analysis with extensions to online learning.
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- Biometrika, 2023, v. 110, n. 2, p. 339, doi. 10.1093/biomet/asac041
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Evaluating causes of effects by posterior effects of causes.
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- Biometrika, 2023, v. 110, n. 2, p. 449, doi. 10.1093/biomet/asac038
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Additive models for symmetric positive-definite matrices and Lie groups.
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- Biometrika, 2023, v. 110, n. 2, p. 361, doi. 10.1093/biomet/asac055
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Gaussian universal likelihood ratio testing.
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- Biometrika, 2023, v. 110, n. 2, p. 319, doi. 10.1093/biomet/asac064
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Functional linear regression for discretely observed data: from ideal to reality.
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- Biometrika, 2023, v. 110, n. 2, p. 381, doi. 10.1093/biomet/asac053
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Clustering consistency with Dirichlet process mixtures.
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- Biometrika, 2023, v. 110, n. 2, p. 551, doi. 10.1093/biomet/asac051
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A multiplicative structural nested mean model for zero-inflated outcomes.
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- Biometrika, 2023, v. 110, n. 2, p. 519, doi. 10.1093/biomet/asac050
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Kernel two-sample tests in high dimensions: interplay between moment discrepancy and dimension-and-sample orders.
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- Biometrika, 2023, v. 110, n. 2, p. 411, doi. 10.1093/biomet/asac049
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On boosting the power of Chatterjee's rank correlation.
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- Biometrika, 2023, v. 110, n. 2, p. 283, doi. 10.1093/biomet/asac048
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Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring.
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- Biometrika, 2023, v. 110, n. 2, p. 395, doi. 10.1093/biomet/asac047
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Optimal row-column designs.
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- Biometrika, 2023, v. 110, n. 2, p. 537, doi. 10.1093/biomet/asac046
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Design-based theory for cluster rerandomization.
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- Biometrika, 2023, v. 110, n. 2, p. 467, doi. 10.1093/biomet/asac045
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Lasso-adjusted treatment effect estimation under covariate-adaptive randomization.
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- Biometrika, 2023, v. 110, n. 2, p. 431, doi. 10.1093/biomet/asac036
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Bootstrapping Whittle estimators.
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- Biometrika, 2023, v. 110, n. 2, p. 499, doi. 10.1093/biomet/asac044
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Sample-constrained partial identification with application to selection bias.
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- Biometrika, 2023, v. 110, n. 2, p. 485, doi. 10.1093/biomet/asac042
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Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm.
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- Biometrika, 2023, v. 110, n. 2, p. 301, doi. 10.1093/biomet/asac039
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