Miscellanea On random- and systematic-scan samplers.
- Published in:
- Biometrika, 2016, v. 103, n. 3, p. 719, doi. 10.1093/biomet/asw019
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- Article
Works matching IS 00063444 AND DT 2016 AND VI 103 AND IP 3
Results: 18
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On the win-ratio statistic in clinical trials with multiple types of event.
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- Biometrika, 2016, v. 103, n. 3, p. 742, doi. 10.1093/biomet/asw026
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- Article
3
A goodness-of-fit test for structural nested mean models.
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- Biometrika, 2016, v. 103, n. 3, p. 734, doi. 10.1093/biomet/asw031
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- Article
4
Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data.
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- Biometrika, 2016, v. 103, n. 3, p. 727, doi. 10.1093/biomet/asw033
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- Article
5
Particle Metropolis-adjusted Langevin algorithms.
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- Biometrika, 2016, v. 103, n. 3, p. 701, doi. 10.1093/biomet/asw020
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- Article
6
Intrinsic efficiency and multiple robustness in longitudinal studies with drop-out.
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- Biometrika, 2016, v. 103, n. 3, p. 683, doi. 10.1093/biomet/asw024
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- Article
7
A Bayesian view of doubly robust causal inference.
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- Biometrika, 2016, v. 103, n. 3, p. 667, doi. 10.1093/biomet/asw025
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- Article
8
A theoretical study of Stein's covariance estimator.
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- Biometrika, 2016, v. 103, n. 3, p. 653, doi. 10.1093/biomet/asw030
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- Article
9
Accurate directional inference for vector parameters.
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- Biometrika, 2016, v. 103, n. 3, p. 625, doi. 10.1093/biomet/asw022
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- Article
10
An adaptive two-sample test for high-dimensional means.
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- Biometrika, 2016, v. 103, n. 3, p. 609, doi. 10.1093/biomet/asw029
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- Article
11
Distribution of likelihood-based p-values under a local alternative hypothesis.
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- Biometrika, 2016, v. 103, n. 3, p. 641, doi. 10.1093/biomet/asw021
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- Article
12
Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression.
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- Biometrika, 2016, v. 103, n. 3, p. 579, doi. 10.1093/biomet/asw036
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- Article
13
Indirect multivariate response linear regression.
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- Biometrika, 2016, v. 103, n. 3, p. 595, doi. 10.1093/biomet/asw034
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- Article
14
A differential-geometric approach to generalized linear models with grouped predictors.
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- Biometrika, 2016, v. 103, n. 3, p. 563, doi. 10.1093/biomet/asw023
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- Article
15
Variable selection for case-cohort studies with failure time outcome.
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- Biometrika, 2016, v. 103, n. 3, p. 547, doi. 10.1093/biomet/asw027
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- Article
16
The correlation space of Gaussian latent tree models and model selection without fitting.
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- Biometrika, 2016, v. 103, n. 3, p. 531, doi. 10.1093/biomet/asw032
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- Article
17
On an additive partial correlation operator and nonparametric estimation of graphical models.
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- Biometrika, 2016, v. 103, n. 3, p. 513, doi. 10.1093/biomet/asw028
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- Article
18
Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics.
- Published in:
- Biometrika, 2016, v. 103, n. 3, p. 493, doi. 10.1093/biomet/asw035
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- Publication type:
- Article