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Showing below up to 39 results in range #21 to #59.

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  1. (hist) ‎Introduction to PK modeling using MLXPlore - Part II ‎[5,116 bytes]
  2. (hist) ‎Modeling the observations ‎[5,169 bytes]
  3. (hist) ‎Modeling the individual parameters ‎[5,800 bytes]
  4. (hist) ‎Introduction and notation ‎[6,761 bytes]
  5. (hist) ‎Simulation ‎[6,783 bytes]
  6. (hist) ‎The Metropolis-Hastings algorithm for simulating the individual parameters ‎[7,652 bytes]
  7. (hist) ‎Introduction to PK modeling using MLXPlore - Part I ‎[8,582 bytes]
  8. (hist) ‎Overview ‎[8,635 bytes]
  9. (hist) ‎Dynamical systems ODEs ‎[8,734 bytes]
  10. (hist) ‎Hidden Markov models ‎[9,283 bytes]
  11. (hist) ‎Models ‎[9,363 bytes]
  12. (hist) ‎Extension to multivariate distributions ‎[9,512 bytes]
  13. (hist) ‎Estimation of the log-likelihood ‎[10,241 bytes]
  14. (hist) ‎TestMarc5 ‎[11,005 bytes]
  15. (hist) ‎TestMarc3 ‎[11,006 bytes]
  16. (hist) ‎TestMarc6 ‎[11,008 bytes]
  17. (hist) ‎TestMarc4 ‎[11,010 bytes]
  18. (hist) ‎Gaussian models ‎[11,697 bytes]
  19. (hist) ‎TestMarc2 ‎[13,633 bytes]
  20. (hist) ‎Visualization ‎[14,174 bytes]
  21. (hist) ‎Models for count data ‎[14,844 bytes]
  22. (hist) ‎Additional levels of variability ‎[15,447 bytes]
  23. (hist) ‎Description, representation and implementation of a model ‎[16,738 bytes]
  24. (hist) ‎Estimation of the observed Fisher information matrix ‎[16,787 bytes]
  25. (hist) ‎Model for categorical data ‎[17,641 bytes]
  26. (hist) ‎Joint models ‎[18,750 bytes]
  27. (hist) ‎TestMarc1 ‎[19,297 bytes]
  28. (hist) ‎Stochastic differential equations based models ‎[19,661 bytes]
  29. (hist) ‎Models for time-to-event data ‎[22,207 bytes]
  30. (hist) ‎Dynamical systems driven by ODEs ‎[23,146 bytes]
  31. (hist) ‎Mixture models ‎[24,031 bytes]
  32. (hist) ‎Estimation ‎[26,521 bytes]
  33. (hist) ‎Model with covariates ‎[26,547 bytes]
  34. (hist) ‎Continuous data models ‎[28,215 bytes]
  35. (hist) ‎The SAEM algorithm for estimating population parameters ‎[28,376 bytes]
  36. (hist) ‎The individual approach ‎[36,033 bytes]
  37. (hist) ‎Model evaluation ‎[36,416 bytes]
  38. (hist) ‎What is a model? A joint probability distribution! ‎[37,247 bytes]
  39. (hist) ‎Testing A joint probability ‎[43,136 bytes]

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