Logo

Lessons

  • Lesson 0: Configuring your computer
  • Lesson 1: Pandas and split-apply-combine
  • Lesson 2: Exploratory plotting
  • Lesson 3: Probability distributions and the plug-in principle
  • Lesson 4: Nonparametric inference with hacker stats
  • Lesson 5: Generative modeling and parametric inference
  • Lesson 6: Maximum likelihood estimation
  • Lesson 7: Variate-covariate modeling
  • Lesson 8: Model assessment

Exercises

  • Exercise 1. Pandas and split-apply-combine
  • Exercise 2. Exploratory plotting
  • Exercise 3. Working with probability distributions
  • Exercise 4: Nonparametric hacker stats
  • Exercise 5: Generative modeling
  • Exercise 6: Maximum likelihood estimation
  • Exercise 7: MLE with variate-covariate models
    • Exercise 7.1: Parameter estimates from FRAP curves
    • Exercise 7.2: MLE for a ligand-gated ion channel
  • Exercise 8: Model assessment

Schedule

  • Schedule overview
  • Daily schedule
PoL workshop on statistical inference
  • Exercise 7: MLE with variate-covariate models
  • View page source

Exercise 7: MLE with variate-covariate models

  • Exercise 7.1: Parameter estimates from FRAP curves
  • Exercise 7.2: MLE for a ligand-gated ion channel
Previous Next

Last updated on Aug 22, 2023.

© 2023 Justin Bois and BE/Bi 103 a course staff. With the exception of pasted graphics, where the source is noted, this work is licensed under a Creative Commons Attribution License CC-BY 4.0. All code contained herein is licensed under an MIT license.

This document was prepared at Caltech with financial support from the Donna and Benjamin M. Rosen Bioengineering Center.



Built with Sphinx using a theme provided by Read the Docs.