Works matching IS 00063444 AND DT 2019 AND VI 106 AND IP 2

Results: 17

Wasserstein covariance for multiple random densities.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 339, doi. 10.1093/biomet/asz005

By:

Petersen, Alexander;
Müller, Hans-Georg

Publication type:

Article

Unbiased Hamiltonian Monte Carlo with couplings.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 287, doi. 10.1093/biomet/asy074

By:

Heng, J;
Jacob, P E

Publication type:

Article

Sufficient direction factor model and its application to gene expression quantitative trait loci discovery.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 417, doi. 10.1093/biomet/asz010

By:

Jiang, F;
Ma, Y;
Wei, Y

Publication type:

Article

Spectral density estimation for random fields via periodic embeddings.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 267, doi. 10.1093/biomet/asz004

By:

Guinness, Joseph

Publication type:

Article

Randomization tests of causal effects under interference.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 487, doi. 10.1093/biomet/asy072

By:

Basse, G W;
Feller, A;
Toulis, P

Publication type:

Article

Pseudo-population bootstrap methods for imputed survey data.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 369, doi. 10.1093/biomet/asz001

By:

Chen, S;
Haziza, D;
Léger, C;
Mashreghi, Z

Publication type:

Article

Multivariate output analysis for Markov chain Monte Carlo.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 321, doi. 10.1093/biomet/asz002

By:

Vats, Dootika;
Flegal, James M;
Jones, Galin L

Publication type:

Article

Kinetic energy choice in Hamiltonian/hybrid Monte Carlo.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 303, doi. 10.1093/biomet/asz013

By:

Livingstone, S;
Faulkner, M F;
Roberts, G O

Publication type:

Article

Interleaved lattice-based maximin distance designs.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 453, doi. 10.1093/biomet/asy069

By:

He, Xu

Publication type:

Article

Integrating the evidence from evidence factors in observational studies.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 353, doi. 10.1093/biomet/asz003

By:

Karmakar, B;
French, B;
Small, D S

Publication type:

Article

Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 433, doi. 10.1093/biomet/asz007

By:

Tank, A;
Fox, E B;
Shojaie, A

Publication type:

Article

Hierarchical Bayes versus empirical Bayes density predictors under general divergence loss.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 495, doi. 10.1093/biomet/asy073

By:

Ghosh, M;
Kubokawa, T

Publication type:

Article

General Bayesian updating and the loss-likelihood bootstrap.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 465, doi. 10.1093/biomet/asz006

By:

Lyddon, S P;
Holmes, C C;
Walker, S G

Publication type:

Article

Differential Markov random field analysis with an application to detecting differential microbial community networks.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 401, doi. 10.1093/biomet/asz012

By:

Cai, T T;
Li, H;
Ma, J;
Xia, Y

Publication type:

Article

debiased Whittle likelihood.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 251, doi. 10.1093/biomet/asy071

By:

Sykulski, Adam M;
Olhede, Sofia C;
Guillaumin, Arthur P;
Lilly, Jonathan M;
Early, Jeffrey J

Publication type:

Article

Calibrating general posterior credible regions.

Published in:

Biometrika, 2019, v. 106, n. 2, p. 479, doi. 10.1093/biomet/asy054

By:

Syring, Nicholas;
Martin, Ryan

Publication type:

Article

Bootstrap of residual processes in regression: to smooth or not to smooth?

Published in:

Biometrika, 2019, v. 106, n. 2, p. 385, doi. 10.1093/biomet/asz009

By:

Neumeyer, N;
Keilegom, I Van

Publication type:

Article