particles.distributions.TruncNormal

class TruncNormal(mu=0.0, sigma=1.0, a=0.0, b=1.0)

Normal(mu, sigma^2) truncated to [a, b] interval.

__init__(mu=0.0, sigma=1.0, a=0.0, b=1.0)

Methods

__init__([mu, sigma, a, b])
logpdf(x)
pdf(x)
posterior(x[, s])	Modelp is X_1,...,X_n ~ N(theta, s^2), theta~self, s fixed
ppf(u)
rvs([size])
shape(size)

Attributes

dim