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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_&_notation | Introduction & notation
  • Introduction_to_Modeling_the_Individual_Parameters | Modeling the individual parameters
  • Introduction_to_Modeling_the_observations | Modeling the observations
  • Introduction_to_Extensions | Extensions

• Tasks & Tools
  • Introduction | Introduction
  • Modelisation|Modelisation
  • Simulation | Simulation

• Methods
  • Introduction_and_Notations | Introduction and Notations
  • The_SAEM_algorithm_for_estimating_population_parameters |The SAEM algorithm for estimating population parameters
  • The_Metropolis-Hastings_algorithm_for_simulating_the_individual_parameters | The Metropolis-Hastings algorithm for simulating the individual parameters
  • Estimation_of_the_observed_Fisher_information_matrix | Estimation of the observed Fisher information matrix
  • Estimation of the log-likelihood via importance sampling | Estimation of the log-likelihood via importance sampling

• Downloads
  • Animations & videos | Animations & videos
  • Code | Code

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