Taiga Mitsuyuki taiga4112

## GS_GMM.ipynb

      
              1 file
            
          
              1 fork
            
          
              0 comments
            
          
              1 star
            
          
                eqs
                / GS_GMM.ipynb
            
            
              Created
              August 18, 2019 02:57
            
              
                混合ガウスモデルのギプスサンプリングのJulia実装
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Gale-Shapley.ipynb

      
              1 file
            
          
              3 forks
            
          
              0 comments
            
          
              9 stars
            
          
                subpath
                / Gale-Shapley.ipynb
            
            
              Last active
              November 16, 2023 22:07
            
              
                Gale-Shapley algorithm
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## ts-test.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              4 stars
            
          
                narrowlyapplicable
                / ts-test.ipynb
            
            
              Last active
              March 3, 2020 15:24
            
              
                StatModeling Memorandumの記事「二つの時系列データの間に「差」があるか判断するには」 <http://statmodeling.hatenablog.com/entry/difference-between-time-courses> をpystanに置き換えて実装 
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## lkf.py
# -*- coding: utf-8 -*-

import numpy as np
import matplotlib.pyplot as plt

def lkf(T, Y, U, _X0, Sigma0, A, B, C, Q, R):
    '''Linear Kalman Filter
    - 状態方程式
        X(t+1) = A*X(t) + B*U(t) + V(t), V(t) ~ N(0,Q)
    - 観測方程式
	# -- coding: utf-8 --

	import numpy as np
	import matplotlib.pyplot as plt

	def lkf(T, Y, U, _X0, Sigma0, A, B, C, Q, R):
	'''Linear Kalman Filter
	- 状態方程式
	X(t+1) = AX(t) + BU(t) + V(t), V(t) ~ N(0,Q)
	- 観測方程式