Works matching IS 00063444 AND DT 2024 AND VI 111 AND IP 4
Results: 22
Skip sampling: subsampling in the frequency domain.
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- Biometrika, 2024, v. 111, n. 4, p. 1241, doi. 10.1093/biomet/asae039
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Testing independence for sparse longitudinal data.
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- Biometrika, 2024, v. 111, n. 4, p. 1187, doi. 10.1093/biomet/asae035
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Debiasing Welch's method for spectral density estimation.
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- Biometrika, 2024, v. 111, n. 4, p. 1313, doi. 10.1093/biomet/asae033
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More power by using fewer permutations.
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- Biometrika, 2024, v. 111, n. 4, p. 1405, doi. 10.1093/biomet/asae031
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Radial neighbours for provably accurate scalable approximations of Gaussian processes.
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- Biometrika, 2024, v. 111, n. 4, p. 1151, doi. 10.1093/biomet/asae029
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On some algorithms for estimation in Gaussian graphical models.
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- Biometrika, 2024, v. 111, n. 4, p. 1201, doi. 10.1093/biomet/asae028
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Testing serial dependence or cross dependence for time series with underreporting.
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- Biometrika, 2024, v. 111, n. 4, p. 1293, doi. 10.1093/biomet/asae027
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On propensity score matching with a diverging number of matches.
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- Biometrika, 2024, v. 111, n. 4, p. 1421, doi. 10.1093/biomet/asae026
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Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes.
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- Biometrika, 2024, v. 111, n. 4, p. 1429, doi. 10.1093/biomet/asae020
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Inference for possibly misspecified generalized linear models with nonpolynomial-dimensional nuisance parameters.
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- Biometrika, 2024, v. 111, n. 4, p. 1387, doi. 10.1093/biomet/asae024
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A rank-based sequential test of independence.
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- Biometrika, 2024, v. 111, n. 4, p. 1169, doi. 10.1093/biomet/asae023
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A model-free variable screening method for optimal treatment regimes with high-dimensional survival data.
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- Biometrika, 2024, v. 111, n. 4, p. 1369, doi. 10.1093/biomet/asae022
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Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes.
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- Biometrika, 2024, v. 111, n. 4, p. 1349, doi. 10.1093/biomet/asae021
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Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher information matrix.
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- Biometrika, 2024, v. 111, n. 4, p. 1331, doi. 10.1093/biomet/asae025
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Exact selective inference with randomization.
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- Biometrika, 2024, v. 111, n. 4, p. 1109, doi. 10.1093/biomet/asae019
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Flexible control of the median of the false discovery proportion.
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- Biometrika, 2024, v. 111, n. 4, p. 1129, doi. 10.1093/biomet/asae018
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Covariate adjustment in randomized experiments with missing outcomes and covariates.
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- Biometrika, 2024, v. 111, n. 4, p. 1413, doi. 10.1093/biomet/asae017
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Optimal regimes for algorithm-assisted human decision-making.
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- Biometrika, 2024, v. 111, n. 4, p. 1089, doi. 10.1093/biomet/asae016
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Individualized dynamic latent factor model for multi-resolutional data with application to mobile health.
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- Biometrika, 2024, v. 111, n. 4, p. 1257, doi. 10.1093/biomet/asae015
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Difference-based covariance matrix estimation in time series nonparametric regression with application to specification tests.
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- Biometrika, 2024, v. 111, n. 4, p. 1277, doi. 10.1093/biomet/asae013
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Inference for partial correlations of a multivariate Gaussian time series.
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- Biometrika, 2024, v. 111, n. 4, p. 1437, doi. 10.1093/biomet/asae012
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Network-adjusted covariates for community detection.
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- Biometrika, 2024, v. 111, n. 4, p. 1221, doi. 10.1093/biomet/asae011
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