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ABayesianframeworkusing fieldobservationsfor back-analysisandupdatingofsoilparameters inamultistage bracedexcavation is presented… Expand This paper extends some adaptive schemes that have been developed for the Random Walk Metropolis algorithm to more general… Expand This paper investigates how frequent conversation patterns from a mixed-initiative dialogue with an intelligent tutoring system… Expand Mixture models are often used in the statistical segmentation of medical images. For example, they can be used for the… Expand Situating Abstract Concepts Lawrence W. Barsalou (firstname.lastname@example.org) Department of Psychology Emory University, Atlanta, GA… Expand We consider a class of Langevin diffusions with state-dependent volatility. The volatility of the diffusion is chosen so as to… Expand Most regression problems in practice require flexible semiparametric forms of the predictor for modelling the dependence of… Expand The analysis of infectious disease data presents challenges arising from the dependence in the data and the fact that only part… Expand This paper illustrates the ease with which Bayesian nonlinear state-space models can now be used for practical fisheries stock… Expand The sensitivity of the frog’s heart to changes in the calcium content of its nutrient fluid has long been known. Straub (1… Expand