Enum JumpPriorNoiseScale 

#[non_exhaustive]
pub enum JumpPriorNoiseScale {
    Mad,
    EventDetection,
}

Noise-scale estimator for the prior detector’s test-statistic denominator.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Mad

MAD-based scale (1.4826·MAD), a marginal-quantile estimator with an exact unit null std: each coefficient’s marginal null is N(0, σ_c²) regardless of the filter’s coefficient autocorrelation. Unlike the event detector’s bipower scale — whose adjacent-coefficient products absorb jump energy once the impulse response smears a jump across neighboring coefficients — MAD stays calibrated when jumps are frequent, which is exactly when a parametric λ needs detection power. The default.

EventDetection

The same per-level scale jump_event_signal uses (bipower when detection.robust_threshold is set, sample std otherwise) with the filter-dependent null. Choose this to keep the prior’s detections bit-identical with the categorical event signal’s.

Trait Implementations

impl Clone for JumpPriorNoiseScale

fn clone(&self) -> JumpPriorNoiseScale

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for JumpPriorNoiseScale

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

Formats the value using the given formatter.

impl PartialEq for JumpPriorNoiseScale

fn eq(&self, other: &JumpPriorNoiseScale) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for JumpPriorNoiseScale

impl Eq for JumpPriorNoiseScale

impl StructuralPartialEq for JumpPriorNoiseScale