Create week-07.md

_modules/week-07.md

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+---
+title: Week 7
+---
+
+Feb 20
+: **Lecture**{: .label .label-green } Statistical inference with non-linear models
+  : [[PPTX]](https://github.com/stanford-msande228/winter24/raw/main/assets/presentations/MSANDE228_Lecture12_Inference_with_Modern_NonLinear_Methods.pptx)
+  : [[PDF]](https://github.com/stanford-msande228/winter24/raw/main/assets/presentations/MSANDE228_Lecture12_Inference_with_Modern_NonLinear_Methods.pdf)
+: Debiased ML for ATE under partially linear and fully non-linear models; Generic debiased ML framework
+: ***Reading Materials***
+- Chapter 10 of [Textbook](https://canvas.stanford.edu/courses/184879/files/)
+: ***Coding Materials***
+- [DML for Impact of 401(K) Eligibility on Financial Wealth](https://github.com/CausalAIBook/MetricsMLNotebooks/blob/main/CM4/python-dml-401k.ipynb)
+
+Feb 22
+: **Lecture**{: .label .label-green } Statistical inference with non-linear models 2
+  : [[PPTX]](https://github.com/stanford-msande228/winter24/raw/main/assets/presentations/MSANDE228_Lecture13_Inference_with_Modern_NonLinear_Methods2.pptx)
+  : [[PDF]](https://github.com/stanford-msande228/winter24/raw/main/assets/presentations/MSANDE228_Lecture13_Inference_with_Modern_NonLinear_Methods2.pdf)
+: Finalizing theory; Examples; segway to unobserved confounding and omitted variable bias;
+: ***Reading Materials***
+- Chapter 10 of [Textbook](https://canvas.stanford.edu/courses/184879/files/)
+: ***Coding Materials***
+- [DML for Impact of 401(K) Eligibility on Financial Wealth](https://github.com/CausalAIBook/MetricsMLNotebooks/blob/main/CM4/python-dml-401k.ipynb)