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Showing below up to 41 results in range #41 to #81.
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- Description, representation and implementation of a model (9 revisions)
- Test balloons (11 revisions)
- Modeling the individual parameters (13 revisions)
- Dynamical systems ODEs (15 revisions)
- Code (17 revisions)
- Simulation (20 revisions)
- TestMarc1 (23 revisions)
- Animations & Videos (25 revisions)
- Introduction & notation (28 revisions)
- Estimation of the log-likelihood (30 revisions)
- Accueil (37 revisions)
- Introduction and notation (41 revisions)
- Models (42 revisions)
- The Metropolis-Hastings algorithm for simulating the individual parameters (43 revisions)
- Model evaluation (46 revisions)
- Test Video (47 revisions)
- Home page (61 revisions)
- Additional levels of variability (66 revisions)
- Introduction to PK modeling using MLXPlore - Part I (67 revisions)
- Hidden Markov models (67 revisions)
- MyTest (70 revisions)
- Estimation of the observed Fisher information matrix (73 revisions)
- Testing A joint probability (74 revisions)
- Visualization (75 revisions)
- Stochastic differential equations based models (83 revisions)
- Extension to multivariate distributions (85 revisions)
- Estimation (87 revisions)
- The SAEM algorithm for estimating population parameters (94 revisions)
- Joint models (96 revisions)
- Models for count data (97 revisions)
- Overview (124 revisions)
- Model for categorical data (132 revisions)
- Gaussian models (141 revisions)
- Mixture models (162 revisions)
- Modeling the observations (168 revisions)
- Model with covariates (204 revisions)
- Models for time-to-event data (263 revisions)
- What is a model? A joint probability distribution! (368 revisions)
- Dynamical systems driven by ODEs (453 revisions)
- Continuous data models (616 revisions)
- The individual approach (647 revisions)
