Works matching IS 00063444 AND DT 2020 AND VI 107 AND IP 1
Results: 18
Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations.
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- Biometrika, 2020, v. 107, n. 1, p. 93, doi. 10.1093/biomet/asz050
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Simplified integrated nested Laplace approximation.
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- Biometrika, 2020, v. 107, n. 1, p. 223, doi. 10.1093/biomet/asz044
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'Variance estimation in the particle filter'.
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- Biometrika, 2020, v. 107, n. 1, p. 255, doi. 10.1093/biomet/asaa001
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Bayesian constraint relaxation.
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- Biometrika, 2020, v. 107, n. 1, p. 191, doi. 10.1093/biomet/asz069
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Consistent community detection in multi-layer network data.
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- Biometrika, 2020, v. 107, n. 1, p. 61, doi. 10.1093/biomet/asz068
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The Hastings algorithm at fifty.
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- Biometrika, 2020, v. 107, n. 1, p. 1, doi. 10.1093/biomet/asz066
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Model-free approach to quantifying the proportion of treatment effect explained by a surrogate marker.
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- Biometrika, 2020, v. 107, n. 1, p. 107, doi. 10.1093/biomet/asz065
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A conditional density estimation partition model using logistic Gaussian processes.
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- Biometrika, 2020, v. 107, n. 1, p. 173, doi. 10.1093/biomet/asz064
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On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding.
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- Biometrika, 2020, v. 107, n. 1, p. 159, doi. 10.1093/biomet/asz063
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Multisample estimation of bacterial composition matrices in metagenomics data.
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- Biometrika, 2020, v. 107, n. 1, p. 75, doi. 10.1093/biomet/asz062
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Diagnosing missing always at random in multivariate data.
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- Biometrika, 2020, v. 107, n. 1, p. 246, doi. 10.1093/biomet/asz061
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Measurement errors in the binary instrumental variable model.
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- Biometrika, 2020, v. 107, n. 1, p. 238, doi. 10.1093/biomet/asz060
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Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data.
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- Biometrika, 2020, v. 107, n. 1, p. 137, doi. 10.1093/biomet/asz059
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Scalable inference for crossed random effects models.
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- Biometrika, 2020, v. 107, n. 1, p. 25, doi. 10.1093/biomet/asz058
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Semiparametric estimation of structural failure time models in continuous-time processes.
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- Biometrika, 2020, v. 107, n. 1, p. 123, doi. 10.1093/biomet/asz057
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Bayesian sparse multiple regression for simultaneous rank reduction and variable selection.
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- Biometrika, 2020, v. 107, n. 1, p. 205, doi. 10.1093/biomet/asz056
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High-dimensional causal discovery under non-Gaussianity.
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- Biometrika, 2020, v. 107, n. 1, p. 41, doi. 10.1093/biomet/asz055
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Analysis of grouped data using conjugate generalized linear mixed models.
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- Biometrika, 2020, v. 107, n. 1, p. 231, doi. 10.1093/biomet/asz053
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