Junpeng Lao junpenglao

## effective-scan-and-while_loop-in-tf-and-jax-solutions.ipynb

      
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                junpenglao
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              June 17, 2022 05:06
            
              
                Effective Scan and While_loop in TF and JAX (Solutions).ipynb
              
          
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## effective-scan-and-while_loop-in-tf-and-jax.ipynb

      
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                Effective Scan and While_loop in TF and JAX.ipynb
              
          
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## bayesian-time-series-analysis-with-tfp-on-jax-part-2.ipynb

      
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                Bayesian Time Series Analysis with TFP on JAX (Part 2).ipynb
              
          
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## bayesian-time-series-analysis-with-tfp-on-jax-part-1.ipynb

      
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                Bayesian Time Series Analysis with TFP on JAX (Part 1).ipynb
              
          
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## -pymcon-missing-value-handling.ipynb

      
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              October 20, 2020 10:15
            
              
                [pymcon] Missing value handling.ipynb
              
          
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## theano-jax-test-drive.ipynb

      
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                theano-jax test drive.ipynb
              
          
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## fastest-em-estimation-for-gmm-in-python.ipynb

      
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                Fastest EM estimation for GMM in python.ipynb
              
          
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## mixture_tfp.ipynb

      
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              October 19, 2020 13:10
            
              
                mixture_tfp.ipynb
              
          
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## tfp_nuts_demo.ipynb

      
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              January 13, 2020 15:13
            
              
                TFP_NUTS_demo.ipynb
              
          
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## Dirichlet_random_area_plot.py
import numpy as np
import scipy.stats as st
import matplotlib.pyplot as plt
plt.style.use('ggplot')

pmat = np.vstack([np.linspace(1, 20, 20),
                  np.linspace(2, 10, 20),
                  np.linspace(3, 5, 20)]).T

p = np.asarray([st.dirichlet.rvs(p_, 200) for p_ in pmat])
	import numpy as np
	import scipy.stats as st
	import matplotlib.pyplot as plt
	plt.style.use('ggplot')

	pmat = np.vstack([np.linspace(1, 20, 20),
	np.linspace(2, 10, 20),
	np.linspace(3, 5, 20)]).T

	p = np.asarray([st.dirichlet.rvs(p_, 200) for p_ in pmat])