Gabriel Stechschulte GStechschulte
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GStechschulte
/ hierarchical_gpytorch.py
Created
June 18, 2025 15:27
Hierarchical Gaussian process model with GPyTorch
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| import torch | |
| import gpytorch | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| torch.manual_seed(42) | |
| np.random.seed(42) | |
| ## Simulate hierarchical Data ## |
GStechschulte
/ hierarchical-regression-with-missing-data.ipynb
Created
September 10, 2024 20:16
Hierarchical Regression With Missing Data
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GStechschulte
/ return_idata_interpret.ipynb
Created
November 17, 2023 08:47
Return InferenceData in interpret
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GStechschulte
/ interpret_vector_preds.ipynb
Last active
October 9, 2023 18:06
`interpret` support for model predictions with response levels
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GStechschulte
/ plot_slopes_test.ipynb
Created
July 16, 2023 18:18
slopes and plot_slopes core numeric variable functionality
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GStechschulte
/ plot_comparisons_uncertainty_calculation.ipynb
Created
June 9, 2023 15:07
plot_comparisons uncertainty in difference calculation
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GStechschulte
/ plot_comparisons_v1.ipynb
Created
May 19, 2023 11:23
To demonstrate the first iteration on the `plot_comparisons` function
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GStechschulte
/ plot_caps_obs_level_demos.ipynb
Last active
April 23, 2023 14:05
This Jupyter provides several examples of the `plots_cap` function for a variety of GLMs
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