Pages that link to "Item:Q957278"
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The following pages link to Maximum likelihood estimation in nonlinear mixed effects models (Q957278):
Displaying 50 items.
- Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models (Q113495) (← links)
- Computing and estimating information matrices of weak ARMA models (Q425392) (← links)
- Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm (Q435011) (← links)
- Inference in HIV dynamics models via hierarchical likelihood (Q452606) (← links)
- A numerical method for minimum distance estimation problems (Q632751) (← links)
- A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone (Q662571) (← links)
- An empirical Bayes procedure for the selection of Gaussian graphical models (Q693346) (← links)
- Mixed-effects estimation in dynamic models of plant growth for the assessment of inter-individual variability (Q725250) (← links)
- Fitting nonlinear ordinary differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithm (Q736434) (← links)
- Estimation in nonlinear mixed-effects models using heavy-tailed distributions (Q746189) (← links)
- On a convergent stochastic estimation algorithm for frailty models (Q746290) (← links)
- An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models (Q746314) (← links)
- Quantile regression for nonlinear mixed effects models: a likelihood based perspective (Q779702) (← links)
- A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling (Q830097) (← links)
- Estimating mixed-effects differential equation models (Q892455) (← links)
- Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation (Q892492) (← links)
- Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models (Q896589) (← links)
- An approximate likelihood approach to nonlinear mixed effects models via spline approximation (Q956980) (← links)
- High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm (Q971529) (← links)
- Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model (Q1010506) (← links)
- Maximum likelihood estimation for simplex distribution nonlinear mixed models via the stochastic approximation algorithm (Q1011107) (← links)
- EM algorithms for nonlinear mixed effects models (Q1019960) (← links)
- Nonlinear random effects mixture models: maximum likelihood estimation via the EM algorithm (Q1020774) (← links)
- A simulated pseudo-maximum likelihood estimator for nonlinear mixed models. (Q1605373) (← links)
- Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm (Q1615190) (← links)
- Model-based curve registration via stochastic approximation EM algorithm (Q1615272) (← links)
- An iterative sparse algorithm for the penalized maximum likelihood estimator in mixed effects model (Q1622124) (← links)
- Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling (Q1623627) (← links)
- Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature (Q1623692) (← links)
- Phenomenological modeling of tumor diameter growth based on a mixed effects model (Q1629067) (← links)
- A feasible implementation procedure for interval analysis method from measurement data (Q1630171) (← links)
- Population parametrization of costly black box models using iterations between SAEM algorithm and Kriging (Q1655366) (← links)
- A SAEM algorithm for fused Lasso penalized nonlinear mixed effect models: application to group comparison in pharmacokinetics (Q1659496) (← links)
- Convergent stochastic expectation maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation (Q1663188) (← links)
- Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models (Q1695514) (← links)
- Parameter estimation of complex mixed models based on meta-model approach (Q1703828) (← links)
- What controls the acute viral infection following yellow fever vaccination? (Q1706277) (← links)
- Physiological modeling of isoprene dynamics in exhaled breath (Q1736288) (← links)
- f-SAEM: a fast stochastic approximation of the EM algorithm for nonlinear mixed effects models (Q2008004) (← links)
- On the convergence of stochastic approximations under a subgeometric ergodic Markov dynamic (Q2044347) (← links)
- Inference in Gaussian state-space models with mixed effects for multiple epidemic dynamics (Q2081400) (← links)
- Estimation for dynamical systems using a population-based Kalman filter -- applications in computational biology (Q2094857) (← links)
- Properties of the stochastic approximation EM algorithm with mini-batch sampling (Q2209731) (← links)
- Nonlinear nonparametric mixed-effects models for unsupervised classification (Q2259081) (← links)
- Heavy-tailed longitudinal regression models for censored data: a robust parametric approach (Q2273182) (← links)
- On optimal designs for clinical trials: an updated review (Q2301225) (← links)
- Unsupervised learning of pharmacokinetic responses (Q2358927) (← links)
- A note on BIC in mixed-effects models (Q2452101) (← links)
- An approximate EM algorithm for nonlinear mixed effects models (Q2777915) (← links)
- A non linear mixed effects model of plant growth and estimation via stochastic variants of the EM algorithm (Q2807795) (← links)