https://ecogambler.netlify.app/blog/interpreting-gams How to interpret and report nonlinear effects from Generalized Additive ModelsNicholas ClarkMarch 21, 2024 “Generalized Additive Models (GAMs)… are helpful for learning arbitrarily complex, nonlinear relationships between predictors and
What I Read: High-Dimensional Variance
https://gregorygundersen.com/blog/2023/12/09/covariance-matrices/ High-Dimensional VarianceGregory Gundersen09 December 2023 “A useful view of a covariance matrix is that it is a natural generalization of variance to higher dimensions.”
What I Read: reliance on AI-assisted decisions
https://statmodeling.stat.columbia.edu/2024/03/06/defining-optimal-reliance-on-model-predictions-in-ai-assisted-decisions/Defining optimal reliance on model predictions in AI-assisted decisionsJessica Hullman3/6/24 12:31 PM “…AI-assisted decision task is of interest as organizations deploy predictive models to assist human decision-making in domains like
What I Read: Confidence intervals, balanced accuracy
https://code.groundlight.ai/python-sdk/blog/confidence-intervals-for-balanced-accuracy Tales from the Binomial Tail: Confidence intervals for balanced accuracyTed SandlerSenior Applied Scientist at GroundlightLeo DiracCTO and Co-founder at GroundlightJanuary 16, 2024 “…we put careful thought into measuring the
What I Read: Smooth Noisy Data
https://towardsdatascience.com/the-perfect-way-to-smooth-your-noisy-data-4f3fe6b44440?gi=a6f62aaf2818 The Perfect Way to Smooth Your Noisy DataAndrew BowellOct 25, 2023 “Insanely fast and reliable smoothing and interpolation with the Whittaker-Eilers method.”