This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Abstract. Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This pap...
— A novel black-box model for time series of prices analysis is proposed. It is constructed using the technique of “shaping filter”. The model identification is then propos...
In this paper, the distribution of grazing animals around a resource point on a grassland was studied by using theories of stochastic process and differential equations. The resul...
In this paper, by using theories of stochastic process and differential equation, the authors systematically studied the distribution of grazing animals between two resource point...