Struct GammaPoisson 

pub struct GammaPoisson {
    pub alpha: f64,
    pub beta: f64,
}

Gamma-Poisson (Gamma-Negative Binomial) conjugate pair

Prior: Gamma(α, β) Likelihood: Poisson(λ) Posterior: Gamma(α + sum(data), β + n)

Fields

alpha: f64

Shape parameter of the Gamma prior

beta: f64

Rate parameter of the Gamma prior

Implementations

impl GammaPoisson

pub fn new(alpha: f64, beta: f64) -> Result<Self>

Create a new Gamma-Poisson conjugate prior

pub fn update(&self, data: ArrayView1<'_, f64>) -> Result<Self>

Update the prior with observed count data

Arguments

• data - Array of observed counts

Returns

Updated GammaPoisson with posterior parameters

pub fn posterior_mean(&self) -> Result<f64>

Compute the posterior mean

pub fn posterior_variance(&self) -> Result<f64>

Compute the posterior variance

pub fn posterior_mode(&self) -> Result<Option<f64>>

Compute the posterior mode (MAP estimate)

pub fn credible_interval(&self, confidence: f64) -> Result<(f64, f64)>

Compute credible interval

Trait Implementations

impl Clone for GammaPoisson

fn clone(&self) -> GammaPoisson

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GammaPoisson

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

Formats the value using the given formatter.