Chris Fonnesbeck fonnesbeck
fonnesbeck
/ Covariate Model-First_Paper.ipynb
Created
October 25, 2019 18:53
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fonnesbeck
/ Tables.ipynb
Created
October 24, 2019 19:54
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View StudentT.ipynb
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fonnesbeck
/ more_curves.py
Created
May 31, 2019 22:28
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| more_curves = [1810, 2225, 3015] | |
| with curve_spin_model: | |
| pm.set_data({'spin': more_curves}) | |
| post_pred = pm.sample_posterior_predictive(trace, samples=1000) |
fonnesbeck
/ glm_data.py
Created
May 31, 2019 22:27
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| df = pd.DataFrame(dict(y=np.array([2, 4, 2, 0, 4]))) | |
| with pm.Model() as glm: | |
| x = np.array([0.3, 1.1, 0.6, -0.2, 3.3]) | |
| pm.glm.GLM.from_formula('y ~ x', data=df, family=pm.glm.families.Poisson()) |
fonnesbeck
/ predict_curves.py
Last active
June 1, 2019 00:21
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| traces = {} | |
| for year in years: | |
| with curve_spin_model: | |
| year_data = curveball_data.query('year==@year') | |
| pm.set_data({'spin': year_data.spin_rate, | |
| 'swing_miss': year_data.miss}) | |
| traces[year] = pm.sample(1000, tune=2000, | |
| cores=2, progressbar=False) |
fonnesbeck
/ curve_spin_model.py
Created
May 31, 2019 22:21
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| with pm.Model() as curve_spin_model: | |
| spin = pm.Data('spin', curveball_data['spin_rate']) | |
| β = pm.Normal('β', shape=2) | |
| θ = β[0] + β[1]*(spin/1000) | |
| swing_miss = pm.Data('swing_miss', curveball_data['miss']) | |
| miss = pm.Bernoulli('miss', pm.invlogit(θ), observed=swing_miss) |
fonnesbeck
/ Measles Dynamics2.ipynb
Last active
May 9, 2019 15:36
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fonnesbeck
/ simple_compare_example.ipynb
Created
April 22, 2019 16:51
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fonnesbeck
/ Fonnesbeck_analytics_exercise.ipynb
Last active
March 25, 2019 10:08
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