We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
The correct and ecient management of data in distributed databases or mobile computing environments is dicult. Communication disruptions within such systems render the execution o...
Paul A. Jensen, Monica Brockmeyer, Nandit Soparkar
We solve an optimal growth model in continuous space, continuous and bounded time. The optimizer chooses the optimal trajectories of capital and consumption across space and time ...
A cellular engineer typically estimates system performance via simulation. An important input to this simulation is the average busy hour subscriber location distribution. The per...
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...