Works matching IS 00063444 AND DT 2021 AND VI 108 AND IP 2
Results: 16
An assumption-free exact test for fixed-design linear models with exchangeable errors.
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- Biometrika, 2021, v. 108, n. 2, p. 397, doi. 10.1093/biomet/asaa079
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Quasi-oracle estimation of heterogeneous treatment effects.
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- Biometrika, 2021, v. 108, n. 2, p. 299, doi. 10.1093/biomet/asaa076
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Posterior contraction in sparse generalized linear models.
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- Biometrika, 2021, v. 108, n. 2, p. 367, doi. 10.1093/biomet/asaa074
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Specification tests for covariance structures in high-dimensional statistical models.
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- Biometrika, 2021, v. 108, n. 2, p. 335, doi. 10.1093/biomet/asaa073
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The uniform general signed rank test and its design sensitivity.
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- Biometrika, 2021, v. 108, n. 2, p. 381, doi. 10.1093/biomet/asaa072
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Inference for treatment effect parameters in potentially misspecified high-dimensional models.
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- Biometrika, 2021, v. 108, n. 2, p. 321, doi. 10.1093/biomet/asaa071
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On the use of a penalized quasilikelihood information criterion for generalized linear mixed models.
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- Biometrika, 2021, v. 108, n. 2, p. 353, doi. 10.1093/biomet/asaa069
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Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation.
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- Biometrika, 2021, v. 108, n. 2, p. 269, doi. 10.1093/biomet/asaa068
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On quadratic forms in multivariate generalized hyperbolic random vectors.
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- Biometrika, 2021, v. 108, n. 2, p. 413, doi. 10.1093/biomet/asaa067
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Estimating differential latent variable graphical models with applications to brain connectivity.
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- Biometrika, 2021, v. 108, n. 2, p. 425, doi. 10.1093/biomet/asaa066
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Finite-time analysis of vector autoregressive models under linear restrictions.
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- Biometrika, 2021, v. 108, n. 2, p. 469, doi. 10.1093/biomet/asaa065
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A general interactive framework for false discovery rate control under structural constraints.
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- Biometrika, 2021, v. 108, n. 2, p. 253, doi. 10.1093/biomet/asaa064
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Nonsmooth backfitting for the excess risk additive regression model with two survival time scales.
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- Biometrika, 2021, v. 108, n. 2, p. 491, doi. 10.1093/biomet/asaa058
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Lattice-based designs with quasi-optimal separation distance on all projections.
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- Biometrika, 2021, v. 108, n. 2, p. 443, doi. 10.1093/biomet/asaa057
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Statistical properties of sketching algorithms.
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- Biometrika, 2021, v. 108, n. 2, p. 283, doi. 10.1093/biomet/asaa062
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Poisson reduced-rank models with an application to political text data.
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- Biometrika, 2021, v. 108, n. 2, p. 455, doi. 10.1093/biomet/asaa063
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