Hydrological behaviour through experimental and modelling approaches
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In this exploratory paper we consider a robust approach to decisional problems subject to uncertain data in which we have an additional knowledge on the strategy (algorithm) used to react to an unforeseen event or recover from a disruption. This is a typic ...
Recent developments in discrete choice modelling have enabled the specification of models that can accomodate inter-alternative correlation and inter-agent taste heterogeneity. Nevertheless, to date, these two phenomena tend to have been addressed independ ...
In this exploratory paper we consider a robust approach to decisional problems subject to uncertain data in which we have an additional knowledge on the strategy (algorithm) used to react to an unforeseen event or recover from a disruption. This is a typic ...
With an ever-increasing understanding of the brain mechanisms associated with core human attributes and values, there is an increasing public interest in the results of neuroscience research and the ways in which that new knowledge will be used. Here, we p ...
We consider approximate inference in a class of switching linear Gaussian State Space models which includes the switching Kalman Filter and the more general case of switch transitions dependent on the continuous hidden state. The method is a novel form of ...
Hydrological model calibration should consider two different concepts of predictive uncertainty referring respectively to the statistical uncertainty and the so-called multi-objective equivalence. Currently available studies present different methods to qu ...
Recent developments in discrete choice modelling have enabled the specification of models that can accomodate inter-alternative correlation and inter-agent taste heterogeneity. Nevertheless, to date, these two phenomena tend to have been addressed independ ...
Reported MOSFET measurements concern mostly external radiotherapy and in vivo dosimetry. In this paper, we apply the technique for absolute dosimetry in the context of HDR brachytherapy using an 192Ir source. Measured radial dose rate distributions in wate ...
We consider approximate inference in a class of switching linear Gaussian State Space models which includes the switching Kalman Filter and the more general case of switch transitions dependent on the continuous hidden state. The method is a novel form of ...
We present a model that learns the influence of interacting Markov chains within a team. The proposed model is a dynamic Bayesian network (DBN) with a two-level structure: individual-level and group-level. Individual level models actions of each player, an ...
