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Update schedule.md #9

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4 changes: 2 additions & 2 deletions book/schedule.md
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Expand Up @@ -88,7 +88,7 @@ Recording of lectures are accessible [here](https://applications.zoom.us/lti/ric
1. Note: [Revisiting the Neyman-Scott model: an Inconsistent MLE or an Ill-defined Model?](https://arxiv.org/abs/1301.6278)
1. walk through of nbgrader and home work assignment
6. Week 6
1. 10/5: Lecture 9: Propagaion of Errors
1. 10/5: Lecture 9: Propagation of Errors
1. a simple example from physics 1: estimating $g$
1. Change of variables vs. Error propagation
1. Demo Error propagation fails
Expand Down Expand Up @@ -347,4 +347,4 @@ This is a place holder for now.
1. simple examples
1. Domain shift, inductive bias
1. Statistical Invariance, pivotal quantities, Causal invariance
1. [Elements of Causal Inference by Jonas Peters, Dominik Janzing and Bernhard Schölkopf](https://mitpress.mit.edu/books/elements-causal-inference) [free PDF](https://www.dropbox.com/s/dl/gkmsow492w3oolt/11283.pdf)
1. [Elements of Causal Inference by Jonas Peters, Dominik Janzing and Bernhard Schölkopf](https://mitpress.mit.edu/books/elements-causal-inference) [free PDF](https://www.dropbox.com/s/dl/gkmsow492w3oolt/11283.pdf)