NormJump¶
- class NormJump(step_size, priors=None)[source]¶
Bases:
JumpProposal- __init__(step_size, priors=None)[source]¶
A normal distributed step centered around the old sample
- Parameters:
- step_size: float
The scalable step size
- priors:
See superclass
- __call__(sample, **kwargs)[source]¶
A generic wrapper for the jump proposal function
- Parameters:
- args: Arguments that are going to be passed into the proposal function
- kwargs: Keyword arguments that are going to be passed into the proposal function
- Returns:
- dict: A dictionary with the new samples. Boundary conditions are applied.
Methods
__init__(step_size[, priors])A normal distributed step centered around the old sample