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Local Likelihood for Non-Parametric Arch(1) Models

Journal of Time Series Analysis, 2003
We propose a local likelihood estimation for the log-transformed ARCH(1) model in the financial field. Our nonparametric estimator is constructed within the likelihood framework for non-Gaussian observations: It is different from standard kernel regression smoothing, where the innovations are assumed to be normally distributed.
openaire   +2 more sources

Fitting parametric cure models in R using the packages cuRe and rstpm2

Computer Methods and Programs in Biomedicine, 2022
Lasse Jakobsen   +2 more
exaly  

Customized designs of short thumb orthoses using 3D hand parametric models

Assistive Technology, 2022
Chien-Hsiou Liu   +2 more
exaly  

Non-parametric hybrid models for wind speed forecasting

Energy Conversion and Management, 2017
Fanman Meng, Qinkai Han, Fulei Chu
exaly  

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