A truly functional Bayesianmethod for detecting temporally differentially expressed genes between two experimental conditions is presented. The method distinguishes between two biologically different set ups, one in which the two samples are interchangeable, and one in which the second sample is a modification of the first, i.e. the two samples are non-interchangeable. This distinction leads to...

In this paper is discussed how to estimate irregularly sampled continuous-time ARMA models in the frequency domain. In the process, the model output signal is assumed to be piecewise constant or piecewise linear, and an approximation of the continuous-time Fourier transform is calculated. ML-estimation in the frequency domain is then used to obtain parameter estimates.

A statistical language model assigns probability to strings of arbitrary length. Unfortunately, it is not possible to gather reliable statistics on strings of arbitrary length from a nite corpus. Therefore, a statistical language model must decide that each symbol in a string depends on at most a small, nite number of other symbols in the string. In this abstract, we propose a new way to model ...

The problem of particle fluctuations in arbitrary nonuniform systems with BoseEinstein condensate is considered. This includes the case of trapped Bose atoms. It is shown that the correct description of particle fluctuations for any nonuniform system of interacting atoms always results in thermodynamically normal fluctuations.

A neural network approach is proposed for the characterization of twisted wire bundles multiconductor transmission lines. The neural network is suitably trained with few cross section configurations to learn the behavior of the per unit length parameters of the nonuniform bundle. The procedure allows a fast characterization of the nonuniform bundles multiconductor transmission lines.

For nonuniform exponentially bounded evolution families defined on Banach spaces, we introduce a class of Banach function spaces, whose norms are uniquely determined by the nonuniform behavior of the corresponding evolution family. We generalize the classical theorem of Datko on these spaces.

A joint characterization of reachability (controllability) and observability (constructibility) for linear SISO nonuniformly sampled discrete systems is presented. The work generalizes to the nonuniform sampling the criterion known for the uniform sampling. Emphasis is on the nonuniform sampling sequence, which is believed to be an additional element for analysis and handling of discrete systems.