Works matching IS 00063444 AND DT 2022 AND VI 109 AND IP 4
Results: 20
Average direct and indirect causal effects under interference.
- Published in:
- Biometrika, 2022, v. 109, n. 4, p. 1165, doi. 10.1093/biomet/asac008
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- Article
Fréchet sufficient dimension reduction for random objects.
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- Biometrika, 2022, v. 109, n. 4, p. 975, doi. 10.1093/biomet/asac012
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- Article
Functional hybrid factor regression model for handling heterogeneity in imaging studies.
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- Biometrika, 2022, v. 109, n. 4, p. 1133, doi. 10.1093/biomet/asac007
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- Article
correlation-shrinkage prior for Bayesian prediction of the two-dimensional Wishart model.
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- Biometrika, 2022, v. 109, n. 4, p. 1173, doi. 10.1093/biomet/asac006
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- Article
Distribution-on-distribution regression via optimal transport maps.
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- Biometrika, 2022, v. 109, n. 4, p. 957, doi. 10.1093/biomet/asac005
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- Article
Correction to: 'Valid sequential inference on probability forecast performance'.
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- 2022
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- Correction Notice
Scalable and accurate variational Bayes for high-dimensional binary regression models.
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- Biometrika, 2022, v. 109, n. 4, p. 901, doi. 10.1093/biomet/asac026
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- Article
Sensitivity analysis for unmeasured confounding in the estimation of marginal causal effects.
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- Biometrika, 2022, v. 109, n. 4, p. 1101, doi. 10.1093/biomet/asac018
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- Article
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA.
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- Biometrika, 2022, v. 109, n. 4, p. 881, doi. 10.1093/biomet/asac017
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- Article
Particle filter efficiency under limited communication.
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- Biometrika, 2022, v. 109, n. 4, p. 921, doi. 10.1093/biomet/asac015
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- Article
approximate randomization test for the high-dimensional two-sample Behrens–Fisher problem under arbitrary covariances.
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- Biometrika, 2022, v. 109, n. 4, p. 1117, doi. 10.1093/biomet/asac014
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- Article
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators.
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- Biometrika, 2022, v. 109, n. 4, p. 1085, doi. 10.1093/biomet/asac004
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- Article
proximal distance algorithm for likelihood-based sparse covariance estimation.
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- Biometrika, 2022, v. 109, n. 4, p. 1047, doi. 10.1093/biomet/asac011
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- Article
High-dimensional linear regression via implicit regularization.
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- Biometrika, 2022, v. 109, n. 4, p. 1033, doi. 10.1093/biomet/asac010
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- Article
Efficient semiparametric estimation of network treatment effects under partial interference.
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- Biometrika, 2022, v. 109, n. 4, p. 1015, doi. 10.1093/biomet/asac009
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- Article
global stochastic optimization particle filter algorithm.
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- Biometrika, 2022, v. 109, n. 4, p. 937, doi. 10.1093/biomet/asab067
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- Article
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection.
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- Biometrika, 2022, v. 109, n. 4, p. 1149, doi. 10.1093/biomet/asab066
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- Article
Is the mode elicitable relative to unimodal distributions?
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- Biometrika, 2022, v. 109, n. 4, p. 1157, doi. 10.1093/biomet/asab065
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- Article
Graphical Gaussian process models for highly multivariate spatial data.
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- Biometrika, 2022, v. 109, n. 4, p. 993, doi. 10.1093/biomet/asab061
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- Article
Significance testing for canonical correlation analysis in high dimensions.
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- Biometrika, 2022, v. 109, n. 4, p. 1067, doi. 10.1093/biomet/asab059
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- Article