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Threshold estimation based on a p-value framework in dose-response and regression settings
estimation based p-value framework dose-response regression settings
2011/7/5
We use p-values to identify the threshold level at which a regression function takes off from its baseline value, a problem motivated by applications in toxicological and pharmacological dose-response...
Minimax sequential estimation based on random fields
Minimax sequential estimation random fields
2009/9/23
Minimax sequential estimation based on random fields。
On adaptive estimation based on ranks in ARMA processes
Local asymptotic normality (LAN) asymptotic linearity locally asymptotically minimax (LAM)
2009/9/21
This paper describe6 the adaptive estimation problem
based on ranks for the parameter of an ARMA process. Tbe local
asymptotic normality property with a ranked based central sequence
allows for the...
Adaptive Optimal Nonparametric Regression and Density Estimation Based on Fourier-Legendre Expansion
Adaptive estimations regression density martingale confidence interval Legend repolynomials
2010/4/29
Motivated by finance and technical applications, the objective of this paper
is to consider adaptive estimation of regression and density distribution based
on Fourier-Legendre expansion, and constr...