gaussian_prior.py

def gaussian_prior(mean: float, std: float) -> Callable[[int], float]:
    """
    Create a Gaussian prior distribution centered around the mean.
    
    Parameters:
    - mean (float): The mean of the Gaussian distribution
    - std (float): The standard deviation of the Gaussian distribution
    
    Returns:
    - Callable[[int], float]: A function representing the Gaussian prior
    """
    return lambda x: norm.pdf(x, mean, std)