pub struct ControlVariate { /* private fields */ }Expand description
Control variate method for variance reduction
Control variates use a correlated random variable with known expectation to reduce the variance of the estimator.
Implementations§
Source§impl ControlVariate
impl ControlVariate
Sourcepub fn new(control_mean: f64) -> Self
pub fn new(control_mean: f64) -> Self
Create a new control variate method
§Parameters
control_mean- The known expectation of the control variate
Sourcepub fn estimate_coefficient(
&mut self,
target_samples: &[f64],
control_samples: &[f64],
)
pub fn estimate_coefficient( &mut self, target_samples: &[f64], control_samples: &[f64], )
Estimate the optimal control coefficient
Uses the sample covariance and variance to estimate the optimal coefficient that minimizes the variance of the control variate estimator.
Sourcepub fn apply_correction(
&self,
target_samples: &[f64],
control_samples: &[f64],
) -> Vec<f64>
pub fn apply_correction( &self, target_samples: &[f64], control_samples: &[f64], ) -> Vec<f64>
Apply control variate correction
Applies the control variate correction using the formula: Y_corrected = Y - c * (X - μ_X) where c is the optimal coefficient, X is the control variate, and μ_X is its mean.
Sourcepub fn coefficient(&self) -> Option<f64>
pub fn coefficient(&self) -> Option<f64>
Get the current optimal coefficient
Sourcepub fn control_mean(&self) -> f64
pub fn control_mean(&self) -> f64
Get the control mean
Trait Implementations§
Auto Trait Implementations§
impl Freeze for ControlVariate
impl RefUnwindSafe for ControlVariate
impl Send for ControlVariate
impl Sync for ControlVariate
impl Unpin for ControlVariate
impl UnwindSafe for ControlVariate
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