Abstract: Sequential Monte Carlo algorithms, or particle filters, are Bayesian filtering algorithms, which propagate in time a discrete and random approximation of the a posteriori distribution of ...
Abstract: This paper presents a comprehensive Bayesian inference framework for analyzing and quantifying industrial load rebound effects through systematic decomposition. The proposed model decomposes ...
Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716 Department of Chemical Engineering, University of Delaware, Newark, Delaware 19716 * Corresponding author. Tel: ...
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