Adrian Seyboldt aseyboldt

## analyze-stan-headers.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / analyze-stan-headers.ipynb
            
            
              Created
              July 6, 2023 18:26
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## analyze-stan-headers.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / analyze-stan-headers.ipynb
            
            
              Created
              July 6, 2023 18:21
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## AOE2-NAC4-model.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              1 star
            
          
                aseyboldt
                / AOE2-NAC4-model.ipynb
            
            
              Last active
              February 18, 2024 01:44
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## fisher_mm_variance.py
from functools import partial
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

@partial(np.vectorize, otypes=["float64"] * 2)
def mm_stds(rng, n_draws, alpha, beta, k=500):
    draws = np.log(rng.gamma(shape=beta, scale=alpha, size=(k, n_draws)))
    grad = beta - np.exp(draws) / alpha
    draws_var = draws.var(-1)

## mass_matrix_init.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / mass_matrix_init.ipynb
            
            
              Last active
              January 27, 2023 00:48
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## mass_matrix_init.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / mass_matrix_init.ipynb
            
            
              Created
              January 26, 2023 19:15
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## sinh-normalizing-flow.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / sinh-normalizing-flow.ipynb
            
            
              Created
              September 21, 2022 16:35
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## gibbs_equilibrium.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / gibbs_equilibrium.ipynb
            
            
              Created
              September 12, 2022 20:03
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## covadapt_subspace.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                aseyboldt
                / covadapt_subspace.ipynb
            
            
              Created
              August 19, 2022 21:10
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## covid.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              1 star
            
          
                aseyboldt
                / covid.ipynb
            
            
              Created
              June 23, 2022 15:38
            
              
                Draft of covid model using gp
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
	from functools import partial
	import numpy as np
	import seaborn as sns
	import matplotlib.pyplot as plt

	@partial(np.vectorize, otypes=["float64"] * 2)
	def mm_stds(rng, n_draws, alpha, beta, k=500):
	draws = np.log(rng.gamma(shape=beta, scale=alpha, size=(k, n_draws)))
	grad = beta - np.exp(draws) / alpha
	draws_var = draws.var(-1)