Found: 17
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Spectral density estimation for random fields via periodic embeddings.
- Published in:
- Biometrika, 2019, v. 106, n. 2, p. 267, doi. 10.1093/biomet/asz004
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- Article
Wasserstein covariance for multiple random densities.
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- Biometrika, 2019, v. 106, n. 2, p. 339, doi. 10.1093/biomet/asz005
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- Article
Unbiased Hamiltonian Monte Carlo with couplings.
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- Biometrika, 2019, v. 106, n. 2, p. 287, doi. 10.1093/biomet/asy074
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- Article
Sufficient direction factor model and its application to gene expression quantitative trait loci discovery.
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- Biometrika, 2019, v. 106, n. 2, p. 417, doi. 10.1093/biomet/asz010
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- Article
Randomization tests of causal effects under interference.
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- Biometrika, 2019, v. 106, n. 2, p. 487, doi. 10.1093/biomet/asy072
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- Article
Pseudo-population bootstrap methods for imputed survey data.
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- Biometrika, 2019, v. 106, n. 2, p. 369, doi. 10.1093/biomet/asz001
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- Article
Multivariate output analysis for Markov chain Monte Carlo.
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- Biometrika, 2019, v. 106, n. 2, p. 321, doi. 10.1093/biomet/asz002
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- Article
Kinetic energy choice in Hamiltonian/hybrid Monte Carlo.
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- Biometrika, 2019, v. 106, n. 2, p. 303, doi. 10.1093/biomet/asz013
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Interleaved lattice-based maximin distance designs.
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- Biometrika, 2019, v. 106, n. 2, p. 453, doi. 10.1093/biomet/asy069
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Integrating the evidence from evidence factors in observational studies.
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- Biometrika, 2019, v. 106, n. 2, p. 353, doi. 10.1093/biomet/asz003
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- Article
Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series.
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- Biometrika, 2019, v. 106, n. 2, p. 433, doi. 10.1093/biomet/asz007
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Hierarchical Bayes versus empirical Bayes density predictors under general divergence loss.
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- Biometrika, 2019, v. 106, n. 2, p. 495, doi. 10.1093/biomet/asy073
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General Bayesian updating and the loss-likelihood bootstrap.
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- Biometrika, 2019, v. 106, n. 2, p. 465, doi. 10.1093/biomet/asz006
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- Article
Differential Markov random field analysis with an application to detecting differential microbial community networks.
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- Biometrika, 2019, v. 106, n. 2, p. 401, doi. 10.1093/biomet/asz012
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- Article
debiased Whittle likelihood.
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- Biometrika, 2019, v. 106, n. 2, p. 251, doi. 10.1093/biomet/asy071
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Calibrating general posterior credible regions.
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- Biometrika, 2019, v. 106, n. 2, p. 479, doi. 10.1093/biomet/asy054
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Bootstrap of residual processes in regression: to smooth or not to smooth?
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- Biometrika, 2019, v. 106, n. 2, p. 385, doi. 10.1093/biomet/asz009
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- Article