Showing 1 - 10 of 118
The sensitivity to the specification of the prior in a hidden Markov model describing homogeneous segments of DNA sequences is considered. An intron from the chimpanzee [alpha]-fetoprotein gene, which plays an important role in embryonic development in mammals, is analysed. Three main aims are...
Persistent link: https://www.econbiz.de/10005130906
Abstract only: Today’s data analysts and modellers are in the luxurious position of being able to more closely describe, estimate, predict and infer about complex systems of interest, thanks to ever more powerful computational methods but also wider ranges of modelling distributions. Mixture...
Persistent link: https://www.econbiz.de/10009437479
This paper presents the findings of the most comprehensive program of study to date aimed at quantifying the number, size distribution and evaporation of droplets produced during virtually any expiratory activity. This international research program included teams of investigators from a number...
Persistent link: https://www.econbiz.de/10009438322
Persistent link: https://www.econbiz.de/10005081992
A Bayesian Markov chain Monte Carlo methodology is developed for the estimation of multivariate linear Gaussian state space models. In particular, an efficient simulation smoothing algorithm is proposed that makes use of the univariate representation of the state space model. Substantial gains...
Persistent link: https://www.econbiz.de/10005005972
Persistent link: https://www.econbiz.de/10005172733
Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to...
Persistent link: https://www.econbiz.de/10011551815
Background: It remains unclear whether it is possible to develop a spatiotemporal epidemic prediction model for cryptosporidiosis disease. This paper examined the impact of social economic and weather factors on cryptosporidiosis and explored the possibility of developing such a model using...
Persistent link: https://www.econbiz.de/10009483494
Persistent link: https://www.econbiz.de/10009405983
Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to...
Persistent link: https://www.econbiz.de/10010225061