Works matching IS 00063444 AND DT 2022 AND VI 109 AND IP 3
Results: 22
Rejoinder: 'Multi-scale Fisher's independence test for multivariate dependence'.
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- Biometrika, 2022, v. 109, n. 3, p. 605, doi. 10.1093/biomet/asac034
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Discussion of 'Multi-scale Fisher's independence test for multivariate dependence'.
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- Biometrika, 2022, v. 109, n. 3, p. 597, doi. 10.1093/biomet/asac028
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On the relative efficiency of the intent-to-treat Wilcoxon–Mann–Whitney test in the presence of noncompliance.
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- Biometrika, 2022, v. 109, n. 3, p. 873, doi. 10.1093/biomet/asab053
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Discussion of 'Multi-scale Fisher's independence test for multivariate dependence'.
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- Biometrika, 2022, v. 109, n. 3, p. 589, doi. 10.1093/biomet/asac023
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Generalized infinite factorization models.
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- Biometrika, 2022, v. 109, n. 3, p. 817, doi. 10.1093/biomet/asab056
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Joint latent space models for network data with high-dimensional node variables.
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- Biometrika, 2022, v. 109, n. 3, p. 707, doi. 10.1093/biomet/asab063
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Heterogeneous coefficients, control variables and identification of multiple treatment effects.
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- Biometrika, 2022, v. 109, n. 3, p. 865, doi. 10.1093/biomet/asab060
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- Article
Discussion of 'Multi-scale Fisher's independence test for multivariate dependence'.
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- Biometrika, 2022, v. 109, n. 3, p. 593, doi. 10.1093/biomet/asac025
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Local linear graphon estimation using covariates.
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- Biometrika, 2022, v. 109, n. 3, p. 721, doi. 10.1093/biomet/asab057
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Multi-scale Fisher's independence test for multivariate dependence.
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- Biometrika, 2022, v. 109, n. 3, p. 569, doi. 10.1093/biomet/asac013
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Searching for robust associations with a multi-environment knockoff filter.
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- Biometrika, 2022, v. 109, n. 3, p. 611, doi. 10.1093/biomet/asab055
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Wavelet spectra for multivariate point processes.
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- Biometrika, 2022, v. 109, n. 3, p. 837, doi. 10.1093/biomet/asab054
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Latent space models for multiplex networks with shared structure.
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- Biometrika, 2022, v. 109, n. 3, p. 683, doi. 10.1093/biomet/asab058
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high-dimensional power analysis of the conditional randomization test and knockoffs.
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- Biometrika, 2022, v. 109, n. 3, p. 631, doi. 10.1093/biomet/asab052
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Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties.
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- Biometrika, 2022, v. 109, n. 3, p. 799, doi. 10.1093/biomet/asab051
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Lugsail lag windows for estimating time-average covariance matrices.
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- Biometrika, 2022, v. 109, n. 3, p. 735, doi. 10.1093/biomet/asab049
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Asymptotic distribution-free changepoint detection for data with repeated observations.
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- Biometrika, 2022, v. 109, n. 3, p. 783, doi. 10.1093/biomet/asab048
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Valid sequential inference on probability forecast performance.
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- Biometrika, 2022, v. 109, n. 3, p. 647, doi. 10.1093/biomet/asab047
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Partial separability and functional graphical models for multivariate Gaussian processes.
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- Biometrika, 2022, v. 109, n. 3, p. 665, doi. 10.1093/biomet/asab046
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Risk bounds for quantile trend filtering.
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- Biometrika, 2022, v. 109, n. 3, p. 751, doi. 10.1093/biomet/asab045
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Determining the number of factors in high-dimensional generalized latent factor models.
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- Biometrika, 2022, v. 109, n. 3, p. 769, doi. 10.1093/biomet/asab044
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Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution.
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- Biometrika, 2022, v. 109, n. 3, p. 853, doi. 10.1093/biomet/asab043
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