A game theoretic approach to explain the output of any machine learning model. - shap/shap ...

9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

10 credits overlap with STK2000 – Some central models and methods in statistic (discontinued). 10 credits overlap with ST-IN216. 10 credits overlap with STK4100 – Introduction to Generalized Linear ...

Other models, such as neural networks, are quite flexible, but very difficult to interpret. Generalized additive models (GAMs) are a nice balance between flexibility and interpretability. In this ...

Mathematics remains a core area of engineering. Formulating and analyzing mathematical models of basic engineering systems is an essential skill that all engineering students should endeavor to ...

Proportional odds model and connection to binomial GLM's. Inference assuming a parametric form for the baseline hazard. (4 lectures) Note: the number of lectures for each topic is approximate.