Markov chains provide a fundamental framework for modelling stochastic processes, where the next state depends solely on the current state. Hidden Markov models (HMMs) extend this framework by ...
Spatial weed count data are modeled and predicted using a generalized linear mixed model combined with a Bayesian approach and Markov chain Monte Carlo. Informative priors for a data set with sparse ...
Journal of Applied Econometrics, Vol. 20, No. 2, Recent Developments in Business Cycle Analysis (2005), pp. 253-274 (22 pages) The objective of this paper is to evaluate the effectiveness of using a ...
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