Struct Exp 

pub struct Exp {
    pub alpha: f64,
}

Exponential density.

Suited for super-Gaussian sources with heavy tails.

The log-likelihood is: -exp(-αy²/2) / α

Fields

alpha: f64

Scaling parameter (default: 1.0).

Implementations

impl Exp

pub fn new(alpha: f64) -> Self

Create a new Exp density with the given alpha parameter.

Trait Implementations

impl Clone for Exp

fn clone(&self) -> Exp

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Exp

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

Formats the value using the given formatter.

impl Default for Exp

fn default() -> Self

Returns the “default value” for a type.

impl Density for Exp

fn log_lik(&self, y: &Array1<f64>) -> Array1<f64>

Compute the log-likelihood for a 1D signal.

fn score_and_der(&self, y: &Array2<f64>) -> (Array2<f64>, Array2<f64>)

Compute the score function and its derivative for a 2D signal matrix.