def proposal_indiv_diff01(self, cur):
variance = 0.05 # .25
upper = 1
lower = 0
proposed0, lbf0 = scoring.truncnorm_proposal(cur[0], variance, upper, lower)
proposed1, lbf1 = scoring.truncnorm_proposal(cur[0], variance, upper, lower)
return np.array([proposed0, proposed1]), lbf0 + lbf1
def proposal(self, state, params, pos):
variance = .25
upper = 1
lower = 0
proposed, lbf = scoring.truncnorm_proposal(state[self.name][pos],
variance, upper, lower)
return proposed, lbf
def proposal(self, state, params, _):
proposal_var = params.wp_proposal_var
if params.use_normal_proposal:
proposed_0, lbf = scoring.normal_proposal(state.wp[0], proposal_var)
else:
proposed_0, lbf = scoring.truncnorm_proposal(state.wp[0], proposal_var)
return np.array([proposed_0, 1 - proposed_0]), lbf
def propose_indiv_noise(self, current, upper, proposal_var):
proposed, lbf = scoring.truncnorm_proposal(current, proposal_var, upper)
return proposed, lbf
def proposal_indiv(self, cur):
variance = 0.05 # .25
upper = 1
lower = 0
proposed, lbf = scoring.truncnorm_proposal(cur, variance, upper, lower)
return proposed, lbf
