Abstract: This research proposes a systematic neuro-transfer function (neuro-TF) parametric modeling with a compact embedded format. Introducing transfer functions significantly enhances the ...
On differentiability of implicitly defined function in semi-parametric profile likelihood estimation
This is a preview. Log in through your library . Abstract In this paper, we study the differentiability of implicitly defined functions which we encounter in the profile likelihood estimation of ...
ABSTRACT: We proposed a kind of doubly periodic Riemann boundary value problem on two parallel curves. By using the method of complex functions, we investigated the method for solving this kind of ...
In the common non-parametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the ...
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