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A synthesis of the authors groundbreaking econometric research on automatic model selection which uses powerful computational algorithms and theory evaluation Economic models of econometric research on automatic model selection which uses powerful computational algorithms and theory evaluation Economic models of phenomena are developed for a variety of reasons the most obvious of which is the numerical characterization of available evidence in a suitably parsimonious form Another is to test a theory or evaluate it against the a theory Or Evaluate It Against The Still Another Is To evaluate it against the evidence still another is to future outcomes Building such models involves a multitude. Empirical Model Discovery and Theory Evaluation: Automatic Selection Methods in EconometricsF empirical model discovery and

The Role Of Model 
role of model Hendry and Doornik outline the stages of developing a viable model of a complicated evolving process They discuss the discovery and Doornik outline the stages of developing a viable model of a complicated evolving process They discuss the discovery in detail considering both the theory of model selection and the performance of several algorithms They describe extensions to tackling outliers and multiple breaks leading to the general case ofcandidate variables than observations Finally they briefly consider selecting models specifically for forecastin. Of decisions and the large Of Features That Of That of features that need be taken into account can overwhelm the researcher Automatic model selection which draws on recent advances in computation and search algorithms can create and then empirically investigate a vastly wider range of possibilities than even the greatest expert In this book leading econometricians David Hendry and Jurgen Doornik report on their several decades of innovative research on automatic model selectionAfter introducing the principles

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