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Home Academics Mathematics & logic Functional Estimation for Density, Regression Models and Processes
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Functional Estimation for Density, Regression Models and Processes
by Pons
4.9
4.9 out of 5
Creators
AuthorPons
Publisher World Scientific Publishing Company
SynopsisThis book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators. It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators of several new estimators for single-index models, and examines the weak convergence of the estimators.
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