This study combines satisfaction, achievement motivation, and social identity theories to construct a dynamic discrete choice ...
Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...
A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
aaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom abPublic Health Policy Evaluation Unit, School of Public Health, Imperial ...
Abstract: We consider estimation of Bayesian network structures given a finite number of examples when both discrete and continuous random variables are present in a Bayesian network.
This course, developed by Manchester Robotics ltd. (MCR2), aims to provide students with understanding of modern autonomous systems. This course is divided into ten sessions, carefully designed for ...
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