Struct opensrdk_probability::continuous::elliptical::student_t::multivariate::MultivariateStudentT

pub struct MultivariateStudentT<T = ExactMultivariateStudentTParams, U = ExactEllipticalParams>where
    T: MultivariateStudentTParams<U>,
    U: EllipticalParams,{ /* private fields */ }

Multivariate Student-t distribution

Implementations

impl<T, U> MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U>,
U: EllipticalParams,

pub fn new() -> Self

Trait Implementations

impl<T, U, Rhs, URhs> BitAnd<Rhs> for MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U>,
U: EllipticalParams,
Rhs: Distribution<Value = T, Condition = URhs>,
URhs: RandomVariable,

type Output = DependentJoint<MultivariateStudentT<T, U>, Rhs, Vec<f64, Global>, T, URhs>

The resulting type after applying the & operator.

fn bitand(self, rhs: Rhs) -> Self::Output

Performs the & operation.

impl<T, U> Clone for MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U> + Clone,
U: EllipticalParams + Clone,

fn clone(&self) -> MultivariateStudentT<T, U>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl ConditionDifferentiableDistribution for MultivariateStudentT

fn ln_diff_condition(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<Vec<f64>, DistributionError>

impl<T, U> Debug for MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U> + Debug,
U: EllipticalParams + Debug,

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T, U> Distribution for MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U>,
U: EllipticalParams,

type Value = Vec<f64, Global>

type Condition = T

fn p_kernel(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<f64, DistributionError>

impl<T, U, Rhs, TRhs> Mul<Rhs> for MultivariateStudentT<T, U>where
T: MultivariateStudentTParams<U>,
U: EllipticalParams,
Rhs: Distribution<Value = TRhs, Condition = T>,
TRhs: RandomVariable,

type Output = IndependentJoint<MultivariateStudentT<T, U>, Rhs, Vec<f64, Global>, TRhs, T>

The resulting type after applying the * operator.

fn mul(self, rhs: Rhs) -> Self::Output

Performs the * operation.

impl SampleableDistribution for MultivariateStudentT

fn sample(
&self,
theta: &Self::Condition,
rng: &mut dyn RngCore
) -> Result<Self::Value, DistributionError>

impl ValueDifferentiableDistribution for MultivariateStudentT

fn ln_diff_value(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<Vec<f64>, DistributionError>