Multiple electrodes are now a standard tool in neuroscience research that make it possible
to study the simultaneous activity of several neurons in a given brain region or across …

… These asymptotic variances can be consistently estimated by re-using the sampled x (j) …
A simple re-weighting of the resulting streams makes the whole process a valid IS scheme. …

Analysis of data from neurophysiological investigations can be challenging. Particularly
when experiments involve dynamics of neuronal response, scientific inference can become …

… Thus when Laplace's method is applied to both the numerator and denominator of Blo in
( 1 ), the resulting approximation also has relative error of order O( n-' ). The accuracy of …

… It is difficult to compute an exact answer here, so we resorted to the following Monte Carlo
method. First, we drew a sample from the posterior using Gibbs sampling as described by …

… of the tempting expression 'know nothing'," Jeffreys responded (1963) "but who needs a …
We have based our remarks on those of Kass (1982), who was responding to Zellner (1982)…

… and support we received from our parents and the continuing comfort and strength we
have drawn from our families, especially our wives, Loreta Matheo Kass and Kerri Vos. In this …

… Things are more complicated with GLMs, but we're getting there. Problems (1) and (3) are …
With MCMC for Bayes posterior distributions, I think we're in pretty good shape on (1), and lots …

… density is represented in this way, the Jacobian in the change of variables between the
original spike times and the rescaled interspike intervals simplifies to a product of the reciprocals …

We consider two-stage models of the kind used in parametric empirical Bayes (PEB)
methodology, calling them conditionally independent hierarchical models. We suppose that there …