Works matching IS 00063444 AND DT 2020 AND VI 107 AND IP 2
Results: 20
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 365, doi. 10.1093/biomet/asz083
- By:
- Publication type:
- Article
The essential histogram.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 347, doi. 10.1093/biomet/asz081
- By:
- Publication type:
- Article
On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 381, doi. 10.1093/biomet/asz078
- By:
- Publication type:
- Article
On the marginal likelihood and cross-validation.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 489, doi. 10.1093/biomet/asz077
- By:
- Publication type:
- Article
Lassoing eigenvalues.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 397, doi. 10.1093/biomet/asz076
- By:
- Publication type:
- Article
Robust empirical Bayes small area estimation with density power divergence.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 467, doi. 10.1093/biomet/asz075
- By:
- Publication type:
- Article
Estimation of error variance via ridge regression.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 481, doi. 10.1093/biomet/asz074
- By:
- Publication type:
- Article
Testing conditional mean independence for functional data.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 331, doi. 10.1093/biomet/asz070
- By:
- Publication type:
- Article
A random-perturbation-based rank estimator of the number of factors.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 505, doi. 10.1093/biomet/asz073
- By:
- Publication type:
- Article
Adaptive nonparametric regression with the K-nearest neighbour fused lasso.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 293, doi. 10.1093/biomet/asz071
- By:
- Publication type:
- Article
Doubly functional graphical models in high dimensions.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 415, doi. 10.1093/biomet/asz072
- By:
- Publication type:
- Article
Consistency for the tree bootstrap in respondent-driven sampling.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 497, doi. 10.1093/biomet/asz067
- By:
- Publication type:
- Article
Discussion of 'Network cross-validation by edge sampling'.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 281, doi. 10.1093/biomet/asaa022
- By:
- Publication type:
- Article
Rejoinder: 'Network cross-validation by edge sampling'.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 289, doi. 10.1093/biomet/asaa021
- By:
- Publication type:
- Article
Discussion of 'Network cross-validation by edge sampling'.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 277, doi. 10.1093/biomet/asaa017
- By:
- Publication type:
- Article
Ensemble estimation and variable selection with semiparametric regression models.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 433, doi. 10.1093/biomet/asaa012
- By:
- Publication type:
- Article
Classification with imperfect training labels.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 311, doi. 10.1093/biomet/asaa011
- By:
- Publication type:
- Article
Discussion of 'Network cross-validation by edge sampling'.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 285, doi. 10.1093/biomet/asaa009
- By:
- Publication type:
- Article
Network cross-validation by edge sampling.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 257, doi. 10.1093/biomet/asaa006
- By:
- Publication type:
- Article
Estimation from cross-sectional data under a semiparametric truncation model.
- Published in:
- Biometrika, 2020, v. 107, n. 2, p. 449, doi. 10.1093/biomet/asaa002
- By:
- Publication type:
- Article