Statistical science
págs. 147-163
Beyond the valley of the covariance function
Daniel Simpson, Finn Lindgren, Havard Rue
págs. 164-166
On the flexibility of multivariate covariance models: comment on the paper by Genton and Kleiber
Moreno Bevilacqua, Amanda S. Hering, Emilio Porcu
págs. 167-169
Capturing multivariate spatial dependence: model, estimate and then predict
Noel Cressie, Sandy Burden, Walter Davis, Pavel N. Krivitsky, Payam Mokhtarian, Thomas Suesse, Andrew Zammit-Mangion
págs. 170-175
págs. 176-180
Marc G. Genton, William Kleiber
págs. 181-183
On the question of effective sample size in network modeling: an asymptotic inquiry
Pavel N. Krivitsky, Eric D. Kolaczyk
págs. 184-198
Multi-armed bandit models for the optimal design of clinical trials: benefits and challenges
Sofía S. Villar, Jack Bowden, James Wason
págs. 199-215
On various confidence intervals post-model-selection
Hannes Leeb, Benedikt M. Pötscher, Karl Ewald
págs. 216-227
Posterior model consistency in variable selection as the model dimension grows
Elías Moreno Bas
, Francisco Javier Girón González-Torre , George Casella págs. 228-241
Approximate bayesian model selection with the deviance statistic
Leonhard Held, Daniel Sabanés Bové, Isaac Gravestock
págs. 242-257
A conversation with Robert C. Elston
Gang Zheng, Zhaohai Li, Nancy L. Geller, Robert C. Elston (entrevistado)
págs. 258-267
págs. 268-295
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