Difference between revisions of "MediaWiki:Sidebar"

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**  Introduction_to_Extensions | Extensions
 
**  Introduction_to_Extensions | Extensions
  
* Tasks  
+
* Tasks & Tools
** Introduction_on_Tasks | Introduction
 
** Exploration | Exploration
 
** Modeling | Modeling
 
** Simulation |Simulation
 
** Design_Optimization |Design optimization
 
** Workflow | Workflow
 
 
 
* Tools  
 
** Introduction_on_Tools | Introduction
 
** Methods | Methods
 
** Graphics | Graphics
 
** Software |Software
 
  
 +
* Methods
 +
** Introduction and Notation
 +
** The SAEM algorithm for estimating population parameters
 +
** The Metropolis-Hastings algorithm for simulating the individual parameters
 +
** Estimation of the observed Fisher information matrix
 +
** Estimation of the log-likelihood via importance sampling
  
 
* Case study
 
* Case study
** Introduction_on_Use_Cases | Introduction
 
** Case_study_1 |Case study 1
 
** Case_study_2 |Case study 2
 
** Case_study_3 |Case study 3
 
** Case_study_4 |Case study 4
 
 
  
  

Revision as of 16:28, 29 April 2013

  • WikiPopix
    • Home_page| Home page

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  • Introduction
    • Overview | Overview
    • The_individual_approach | The individual approach
    • What is a model? A joint probability distribution! | What is a model? A joint probability distribution!
    • Description_representation_and_implementation_of_a_model | Description, representation and implementation of a model


  • Models
    • Introduction_to_models | Introduction
    • Introduction_to_Modeling_the_Individual_Parameters | Modeling the individual parameters
    • Introduction_to_Modeling_the_observations | Modeling the observations
    • Introduction_to_Extensions | Extensions
  • Tasks & Tools
  • Methods
    • Introduction and Notation
    • The SAEM algorithm for estimating population parameters
    • The Metropolis-Hastings algorithm for simulating the individual parameters
    • Estimation of the observed Fisher information matrix
    • Estimation of the log-likelihood via importance sampling
  • Case study


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