Nathaniel

Update Non Paramatric causal inference

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# Update to PyMC version 5.10+ and fix divergences Related to this issue: https://github.com/pymc-devs/pymc-examples/issues/643 + [X] Notebook follows style guide https://docs.pymc.io/en/latest/contributing/jupyter_style.html + [X] PR description contains a link to the...

**Bayesian Non-parametric Causal Inference**: **https://www.pymc.io/projects/examples/en/latest/causal_inference/bayesian_nonparametric_causal.html**: ## Issue description The notebook was originally developed using pymc 5.3.0, when updating to 5.10 the initial propensity model fit on the logistic regression breaks...

Potential Issue re: Spline models and Bambi's interpret module

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I'm possibly doing something a bit naive, but i just wondered if there was interpretation functions available for spline based models like you get with mgcv in R. ```python import...

Putting an issue here to say I intend to add the functionality for inverse propensity score weighting approaches to estimating ATE. As discussed here: https://www.pymc.io/projects/examples/causal_inference/bayesian_nonparametric_causal.html

Add functionality for Frequentist IV regression classes

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Adding the Frequentist class for implementing IV regression experiments as discussed here: https://github.com/pymc-labs/CausalPy/pull/213

Bayesian IV slow for large data sets

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Just adding a note here to investigate the parameterisation options of the Bayesian IV model. I was exploring this fitting large IV designs with lots of data and many instruments...

Contributing Guide Error:

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It seems like there is some mismatch between the instructions in the contributing guide and the make files: I installed the dev environment and then tried running the `make init`...

Event Study and Staggered Diff in Diff

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Working on this issue now. Will aim to have a PR after the major code refactor. Currently just exploring modelling options...

Confirmatory Factor Analysis and Structural Equation Models

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# Notebook proposal **Title**: Confirmatory Factor Analysis and Structural Equation Models ## Why should this notebook be added to pymc-examples? This fills a gap in the coverage we have of...

Adding Multinomial and Nested Logit Models for Consumer Choice

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## Description I'm adding two new model classes for discrete choice style models that I intend to be part of the consumer choice module. As it stands i'm opening the...