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Papers to Appear in Subsequent Issues

Cross-Covariance Functions for Multivariate Geostatistics

Marc Genton and William Kleiber

A Conversation with R.C. Elston

Gang Zheng, Zhaohai Li, and Nancy L. Geller

On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry

Eric Kolaczyk and Pavel Krivitsky

Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges

Sofía S. Villar, Jack Bowden, and James Wason

On various confidence intervals post-model-selection

Hannes Leeb, Benedikt M. Pötscher, and Karl Ewald

Posterior model consistency in variable selection as the model dimension grows

Elias Moreno, Javier Girón, and George Casella

‘But a good cigar is a smoke’: A conversation with Jerry Friedman

Nicholas Fisher

Approximate Bayesian model selection with the deviance statistic

Leonhard Held, Daniel Sabanés Bové, and Isaac Gravestock

On Particle Methods for Parameter Estimation in General State-Space Models

Nikolas Kantas, Arnaud Doucet, Sumeetpal Singh, Jan Maciejowski, and Nicolas Chopin

The ghosts of the Ecole Normale

Laurent Mazliak

A Closer Look at Testing the 'No Treatment Effect' Hypothesis in a Comparative Experiment

Joseph Benedict Lang

Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System

Alice Xiang and Donald Bruce Rubin

Beyond the valley of the covariance function

Daniel Simpson, Finn Lindgren, and Håvard Rue

On the flexibility of multivariate covariance models

Emilio Porcu, Moreno Bevilacqua, and Amanda Scott Hering

Capturing Multivariate Spatial Dependence: Model, Estimate, and then Predict

Noel Cressie, Sandy Burden, Walter Davis, Pavel Krivitsky, Payam Mokhtarian, Thomas Suesse, and Andrew Zammit-Mangion

When Doesn't Cokriging Outperform Kriging?

Hao Zhang and Wenxiang Cai


Marc Genton and William Kleiber

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