Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...
Nonlinear cointegration and time series analysis represent a dynamic area of research that extends the classical framework of cointegration by allowing the long-run equilibrium relationships among ...
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