class_docstr: Ornstein-Uhlenbeck
  
  :math::
    dx_t&=\lambda(\mu - x_t)dt+\sigma dW_t
  
  mean reverting process
  
  
  
  TODO: move exact higher up in class hierarchy
class_docstr_tok: ["Ornstein-Uhlenbeck",":","math",":",":","dx_t","&","=\\lambda","(","\\mu","-","x_t",")","dt+\\sigma","dW_t","mean","reverting","process","TODO",":","move","exact","higher","up","in","class","hierarchy"]
code: def __init__(self, xzero, mu, lambd, sigma):
      self.xzero = xzero
      self.lambd = lambd
      self.mu = mu
      self.sigma = sigma
  
imports: import numpy
  from scipy import stats, signal
  import matplotlib.pyplot
label_desc: Use image node_id 1 to create a new OUprocess object from inherited base classes: AffineDiffusion with example: obj = OUprocess(xzero, mu, lambd, sigma)