You can think of a neural network (NN) as a complex function that accepts numeric inputs and generates numeric outputs. The output values for an NN are determined by its internal structure and by the ...

This paper derives the asymptotic mean square error of multistep prediction for the general vector autoregressive process. For one-step-ahead prediction the result is ...

This is a preview. Log in through your library . Abstract Nested-error regression models are widely used for analyzing clustered data. For example, they are often ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. It's possible to ...