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Fast approximate inference with INLA: the past, the present and the future
Latent Gaussian models Bayesian Integrated Nested Laplace Approximation
2011/6/17
Latent Gaussian models are an extremely popular, flexible class of models. Bayesian inference for
these models is, however, tricky and time consuming. Recently, Rue, Martino and Chopin introduced
th...
Familiar statistical tests and estimates are obtained by the direct observation of cases of interest: a clinical trial of a new drug, for instance, will compare the drug's effects on a relevant set of...
Our three discussants fit an “ideal statistican”profile, combining deep theoretical understanding with serious scientific interests. The three essayswhich are more than commentaries on my articlerefle...
The Past and the Future in the Present
Chaotic Dynamics (nlin.CD) Information Theory (cs.IT) Dynamical Systems (math.DS) Statistics Theory (math.ST)
2010/12/17
We show how the shared information between the past and future---the excess entropy---derives from the components of directional information stored in the present---the predictive and retrodictive cau...