# Haut PDF Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature

### Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature

**the**

**models**are complex and have never been evaluated

**in**design approaches, non- linearity measures (Bates and Watts, 1980; Cook and Goldberg, 1986)

**of**

**the**studied model should be ...

29

### A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature

**of**

**the**approach presentedis a consequence

**of**

**the**curse

**of**dimensional- ...ity.

**The**number

**of**model evaluations increases exponentially with

**the**number ...

26

### Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics.

**the**

**Fisher**

**information**

**matrix**

**in**PFIM software for covariance between random effects and to evaluate ...For

**the**

**evaluation**, a comparison

**of**

**the**SEs ...

37

### Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0

**of**parameters to optimise, or when

**the**model is complex, it could have difficulties

**in**converging towards

**the**optimal design and should sometimes be run again

**using**

**the**...

37

### saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models

**The**library uses

**the**S4 lass system

**of**R to provide a user-friendly input and output system, with methods like summary or plot for tted obje ...ts.

**The**pa kage provides summaries ...

3

### Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models

**in**crossover design and can be analysed by

**nonlinear**

**mixed**effects

**models**as an alternative to noncompartmental ...extension

**of**

**the**population

**Fisher**...

27

### Extension of NPDE for evaluation of nonlinear mixed effect models in presence of data below the quantification limit with applications to HIV dynamic model.

**of**some problems

**of**

**the**

**Fisher**tests, type I errors for

**the**npde computed by

**the**new method, especially those

**of**

**the**global test, are very close to 5% and ...

32

### Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model.

**of**

**the**observed RSE when M F is computed by

**the**Louis’s principle [30] compared to

**the**RSE observed with

**the**linearization ...Although

**the**approach

**using**...

30

### Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm

**of**one

**of**these recent estimation algorithms, SAEM,

**in**R, to obtain maximum likelihood ...instance

**in**nlme and lme4.

**The**different packages all have their own ...

43

### Fisher Information Matrix for Optimizing the Acquisition Parameters in Multi-Parametric Mapping Based on Fast Steady-State Sequences

**in**protocol 4, more precise estimates with mo re uniform errors are obtained

**in**a wider ...Optimization

**of**acquisition parameters through

**the**CRLB may provide a valuable tool for objective ...

8

### Bivariate linear mixed models using SAS proc MIXED.

**the**infection measured by HIV RNA induces inflammation and

**the**destruction

**of**immune ...evolution

**of**CD4 and CD8 cells [4] or CD4 and 2 microglobuline ...used

**the**

**Fisher**...

20

### Adaptive Laguerre density estimation for mixed Poisson models

**adaptive**strategy to estimate f ...build

**adaptive**projection estimators. Non-asymptotic upper bounds

**of**

**the**L 2 -integrated risk are obtained and a lower bound is provided, which ...

29

### Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: The npde add-on package for R.

**the**estimation, these data should be removed from

**the**dataset or set to missing,

**using**for example an MDV item, pending future extensions

**of**npde ...On

**the**other hand, if BQL data ...

41

### Time-local discretization of fractional and related diffusive operators using Gaussian quadrature with applications

**of**this paper is to investigate

**the**discretization

**of**diffusive representations

**using**

**Gaussian**

**quadrature**, for application

**in**

**the**numerical solution ...

21

### Nonlinear spectral unmixing of hyperspectral images using Gaussian processes

**in**

**the**following set (36)

**The**three resulting images are denoted as , and ...that

**the**absence

**of**pure pixels does not change

**the**AREs signiÞcantly when they are ...

13

### New adaptive strategies for nonparametric estimation in linear mixed models

**the**estimation

**of**...all

**the**available ...performed.

**The**particularity here is

**the**selection model procedure: we adapt a method set up

**in**Goldenshluger and Lepski (2011) for ...

23

### Nonlinear MIMO communication systems : channel estimation and information recovery using Volterra models

**of**

**the**channel estimation techniques proposed

**in**this thesis make use

**of**a training sequence known by both transmitter and receiver during

**the**acquisition ...period.

**In**this ...

241

### Fisher information and the Fourth Moment Theorem

**Fisher**

**information**; total variation distance; relative entropy; Fourth Moment Theorem; Fractional Brownian motion; Malliavin ...Measuring

**the**discrepancy between

**the**law

**of**a ...

24

### Evaluation of expert-based Q-Matrices predictive quality in matrix factorization models

**Matrix**factorization techniques are widely used to build col- laborative filtering recommender ...predict

**the**interest

**of**users.

**In**cognitive modeling, skills and competencies are ...

15

### Control-Based Continuation of Nonlinear Structures Using Adaptive Filtering

**Nonlinear**Vibrations, Experimen- tal Characterization State

**of**

**the**art

**of**Control-Based Continuation

**The**characterization

**of**a

**nonlinear**structure consists ...

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