Python Dirac Examples

Example #1

File: state_space_models.py Project: RobeeF/particles

 def PX(self, t, xp):
     return dists.IndepProd(dists.Normal(loc=xp[:, 0], scale=self.sigmaX),
                            dists.Normal(loc=xp[:, 1], scale=self.sigmaX),
                            dists.Dirac(loc=xp[:, 0] + xp[:, 2]),
                            dists.Dirac(loc=xp[:, 1] + xp[:, 3])
                            )

Example #2

File: state_space_models.py Project: RobeeF/particles

 def PX0(self):
     return dists.IndepProd(dists.Normal(loc=self.x0[0], scale=self.sigmaX),
                            dists.Normal(loc=self.x0[1], scale=self.sigmaX),
                            dists.Dirac(loc=self.x0[2]),
                            dists.Dirac(loc=self.x0[3])
                            )

Example #3

File: neurodecoding.py Project: nchopin/particles

 def PX0(self):
     return dists.IndepProd(*[dists.Dirac(loc=self.x0[i])
                              for i in range(6)])

Example #4

File: 11_particles_smc2.py Project: DouwMarx/hybrid_parameter_inference

 def PX(self, t, xp):  # Distribution of X_t given X_{t-1}=xp (p=past)
     # Division by 4 done to scale distributions
     #return dists.Normal(loc=self.a(self.c, self.m, xp), scale=1e-2)
     return dists.Dirac(loc=self.a(self.c, self.m, xp))

Example #5

File: 11_particles_smc2.py Project: DouwMarx/hybrid_parameter_inference

 def PX0(self):  # Distribution of X_0
     return dists.Dirac(loc=self.a0)

Example #6

File: 11_particles_smc2_updated_sifs_and_transition_2020-11-05.py Project: DouwMarx/hybrid_parameter_inference

 def PX(self, t, xp):  # Distribution of X_t given X_{t-1}=xp (p=past)
     return dists.Dirac(loc=self.a(self.c, self.m, xp))