Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators

Social and economic systems produce complex and nonlinear relationships in the indicator variables that describe them. We present a Bayesian methodology to analyze the dynamical relationships between indicator variables by identifying the nonlinear functions that best describe their interactions. We...

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