Michelot T, Langrock R, Kneib T, King R. Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models. Biometrical Journal. 2015;58(1):222-239
Penalized likelihood estimation of a fixed-effect and a mixed-effect transfer function mode
We consider mark-recapture-recovery (MRR) data of animals where the model parameters are a function ...
The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive li...
This work studies the statistical properties of the maximum penalized likelihood approach in a semi-...
We propose an Mhotb model for population size estimation in capture-recapture studies. The tb part i...
We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the...
We propose a likelihood function endowed with a penalization that reduces the bias of the maximum li...
Résumé françaisRésumé anglaisORSAY-PARIS 11-BU Sciences (914712101) / SudocORSAY-PARIS 11-Bib. Maths...
9 pages, 1 article*Maximum Likelihood Estimation of a Sequence of Annual Survival Rates from a Captu...
We derive estimates of the minimum capture proportion required to obtain a reliable estimate of the ...
Langrock R, King R. Maximum likelihood estimation of mark–recapture–recovery models in the presence ...
We propose a likelihood function endowed with a penalisation that reduces the bias of the maximum li...
Pendugaan parameter model regresi logistik biner tidak dapat dilakukan dengan metode Maximum Likelih...
This paper considers simultaneous estimation of the regression coefficients and baseline hazard in p...
The shared frailty models allow for unobserved heterogeneity or for statistical dependence between o...
Penalized likelihood estimation of a fixed-effect and a mixed-effect transfer function mode
We consider mark-recapture-recovery (MRR) data of animals where the model parameters are a function ...
The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive li...
This work studies the statistical properties of the maximum penalized likelihood approach in a semi-...
We propose an Mhotb model for population size estimation in capture-recapture studies. The tb part i...
We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the...
We propose a likelihood function endowed with a penalization that reduces the bias of the maximum li...
Résumé françaisRésumé anglaisORSAY-PARIS 11-BU Sciences (914712101) / SudocORSAY-PARIS 11-Bib. Maths...
9 pages, 1 article*Maximum Likelihood Estimation of a Sequence of Annual Survival Rates from a Captu...
We derive estimates of the minimum capture proportion required to obtain a reliable estimate of the ...
Langrock R, King R. Maximum likelihood estimation of mark–recapture–recovery models in the presence ...
We propose a likelihood function endowed with a penalisation that reduces the bias of the maximum li...
Pendugaan parameter model regresi logistik biner tidak dapat dilakukan dengan metode Maximum Likelih...
This paper considers simultaneous estimation of the regression coefficients and baseline hazard in p...
The shared frailty models allow for unobserved heterogeneity or for statistical dependence between o...
Penalized likelihood estimation of a fixed-effect and a mixed-effect transfer function mode
We consider mark-recapture-recovery (MRR) data of animals where the model parameters are a function ...
The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive li...
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