Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey¿s rule, which extends conditioning to uncertain inputs, is currently used for revising probabilistic epistemic ...

We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference ...

The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a number of fields, especially marketing, health economics, and industrial organization. In most applications of the model, the vector of ...

For the purposes of macroscopic system design a space-time Rayleigh fading multiple-input multiple-output (MIMO) radio channel is modelled for an arbitrary transmit antenna configuration of three to six transmit antennas. ...

We present a generalization of the coupled dipole method to the scattering of light by arbitrary periodic structures. This formulation of the coupled dipole method relies on the same direct-space discretization scheme that ...

Recent-biased approximations have received increased attention recently as a mechanism for learning trend patterns from time series or data streams. They have shown promise for clustering time series and incrementally ...