Index

A

alias() (in module lsbi.utils)

B

bijector() (lsbi.stats.mixture_normal method) (lsbi.stats.multivariate_normal method)

bisect() (in module lsbi.utils)

C

condition() (lsbi.stats.mixture_normal method) (lsbi.stats.multivariate_normal method)

D

d (lsbi.model.LinearModel property) dediagonalise() (in module lsbi.utils) diagonal_Sigma (lsbi.model.LinearModel property) dim (lsbi.stats.multivariate_normal property)

dkl() (in module lsbi.stats) (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method) DKL() (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method)

E

evidence() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method)

J

joint() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method)

K

k (lsbi.model.MixtureModel property) (lsbi.stats.mixture_normal property)

L

likelihood() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method) LinearModel (class in lsbi.model) logdet() (in module lsbi.utils) logL() (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method) logP() (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method) logpdf() (lsbi.stats.mixture_normal method) (lsbi.stats.multivariate_normal method) logpi() (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method)

logZ() (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method) lsbi module lsbi.model module lsbi.stats module lsbi.utils module

M

marginalise() (lsbi.stats.multivariate_normal method) mixture_normal (class in lsbi.stats) MixtureModel (class in lsbi.model) model() (lsbi.model.LinearModel method) module lsbi lsbi.model lsbi.stats lsbi.utils

mu (lsbi.model.LinearModel property) multivariate_normal (class in lsbi.stats)

N

n (lsbi.model.LinearModel property)

P

pdf() (lsbi.stats.mixture_normal method) (lsbi.stats.multivariate_normal method) posterior() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method) (lsbi.model.ReducedLinearModel method) (lsbi.model.ReducedLinearModelUniformPrior method)

ppd() (lsbi.model.LinearModel method) predict() (lsbi.stats.multivariate_normal method) prior() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method) (lsbi.model.ReducedLinearModel method)

Q

quantise() (in module lsbi.utils)

R

ReducedLinearModel (class in lsbi.model) ReducedLinearModelUniformPrior (class in lsbi.model)

rvs() (lsbi.stats.mixture_normal method) (lsbi.stats.multivariate_normal method)

S

shape (lsbi.model.LinearModel property) (lsbi.model.MixtureModel property) (lsbi.stats.mixture_normal property) (lsbi.stats.multivariate_normal property)

Sigma (lsbi.model.LinearModel property)

U

update() (lsbi.model.LinearModel method) (lsbi.model.MixtureModel method)