bayesian

• 2023-12-03: Embracing Leadership: My Journey at Moderna
• 2021-05-05: Probability Simplex
• 2020-10-15: Fermi estimation and Bayesian priors
• 2020-06-15: What's the most optimal way to learn Bayesian statistics?
• 2020-06-14: P(A,B) to P(H,D)??
• 2020-04-12: Introducing a new essay on Markov models
• 2020-01-02: On automating principled statistical analyses
• 2019-12-19: Simplifying Uncertainty Responsibly
• 2019-10-05: Multiple Coin-Flips vs. One Coin Flip Generalized?
• 2019-05-29: Reasoning about Shapes and Probability Distributions
• 2018-12-16: Gaussian Process Notes
• 2018-12-09: Mathematical Intuition
• 2018-11-07: Bayesian Modelling is Hard Work!
• 2018-08-07: Joint, conditional, and marginal probability distributions
• 2018-08-06: d-separation in causal inference
• 2018-07-16: Bayesian Estimation, Group Comparison, and Workflow
• 2018-02-07: Bayesian Inference & Testing Sets
• 2018-01-18: PyMC3 docs + Weibull patches merged!
• 2018-01-08: Bayesian Uncertainty: A More Nuanced View
• 2017-11-03: Boston Bayesians Talk: An Attempt at Demystifying Bayesian Deep Learning
• 2017-10-31: Always Check Your Data
• 2017-08-02: Open Source Software
• 2017-07-22: Bayesian Neural Networks
• 2016-09-16: Why Uncertainty Matters
• 2016-08-06: Variational Inference With PyMC3: A Lightweight Demo
• 2016-06-10: Abstractions