Add to ORKGPenalized likelihood estimation of a fixed-effect and a mixed-effect transfer function mode
cote interne IRCAM: Oudot97a/National audienceEstimation of the spectral envelope of mixed spectrum ...
© 2014 Dr. David LazaridisMaximum likelihood (ML) or restricted maximum likelihood (REML) are typica...
International audienceWe give an overview of statistical models and likelihood, together with two of...
We propose a likelihood function endowed with a penalisation that reduces the bias of the maximum li...
We propose a likelihood function endowed with a penalization that reduces the bias of the maximum li...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
Penalized likelihood is a nonparametric regression technique that can be used to estimate a mean fun...
<p>The fixed parameter values returned by the mixed-effect model and their significance.</p
Generalized linear mixed-effect models are widely used for the analysis of correlated non-Gaussian d...
This work studies the statistical properties of the maximum penalized likelihood approach in a semi-...
Abstract: A general penalized likelihood hazard estimation procedure is formulated and an asymptotic...
Denoising, Edge-detection, Generalized linear models, Non-parametric regression, Non-convex analysis...
<p>Mixed Logistic Regression Fixed Effects for Zero-Sum Response Probabilities.</p
for generally coarsened observations from multi-state or counting process models
cote interne IRCAM: Oudot97a/National audienceEstimation of the spectral envelope of mixed spectrum ...
© 2014 Dr. David LazaridisMaximum likelihood (ML) or restricted maximum likelihood (REML) are typica...
International audienceWe give an overview of statistical models and likelihood, together with two of...
We propose a likelihood function endowed with a penalisation that reduces the bias of the maximum li...
We propose a likelihood function endowed with a penalization that reduces the bias of the maximum li...
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
Estimates of fixed-effect coefficients, with 95% confidence intervals, in the mixed-effects models.<...
Penalized likelihood is a nonparametric regression technique that can be used to estimate a mean fun...
<p>The fixed parameter values returned by the mixed-effect model and their significance.</p
Generalized linear mixed-effect models are widely used for the analysis of correlated non-Gaussian d...
This work studies the statistical properties of the maximum penalized likelihood approach in a semi-...
Abstract: A general penalized likelihood hazard estimation procedure is formulated and an asymptotic...
Denoising, Edge-detection, Generalized linear models, Non-parametric regression, Non-convex analysis...
<p>Mixed Logistic Regression Fixed Effects for Zero-Sum Response Probabilities.</p
for generally coarsened observations from multi-state or counting process models
cote interne IRCAM: Oudot97a/National audienceEstimation of the spectral envelope of mixed spectrum ...
© 2014 Dr. David LazaridisMaximum likelihood (ML) or restricted maximum likelihood (REML) are typica...
International audienceWe give an overview of statistical models and likelihood, together with two of...