kumulant

RecursiveVarianceStat

class RecursiveVarianceStat(val omega: Double, val alpha: Double, val beta: Double, val concurrency: Concurrency = Concurrency.None) : SeriesStat<RecursiveVarianceResult> (source)

Generic recursive variance: sigma^2_t = omega + alpha * value_t^2 + beta * sigma^2_{t-1}.

com.eignex.kumulant.stat.decay.EwmaVarianceStat (centred, weight-driven) is a special-cased relative of this; setting omega = 0 and alpha = 1 - beta recovers an uncentred EWMA variance recursion.

The first update seeds sigma^2 = omega + alpha * value^2 (treating the previous variance as zero).

Use cases: generalised variance / volatility recursion; any application that wants the bare three-coefficient form rather than the EWMA special case.

Memory: O(1); one double cell.

Update: O(1) per observation via a single-cell CAS loop.

Concurrency: Single-cell CAS recurrence (category 2). Concurrent updates may retry the loop under contention but never tear the cell; no exceptions.

Constructors

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constructor(omega: Double, alpha: Double, beta: Double, concurrency: Concurrency = Concurrency.None)

Properties

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Shock coefficient applied to value^2. Must be >= 0.

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Persistence coefficient applied to the previous variance. Must be >= 0.

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open override val concurrency: Concurrency

The thread-safety contract this stat was constructed with. Each stat picks the cell-encoding and lock strategy that honours this contract for its mathematical structure:

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Long-run baseline term. Must be >= 0.

Functions

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open override fun create(concurrency: Concurrency? = null): RecursiveVarianceStat

Spawn a fresh accumulator with the same configuration. Optionally override the Concurrency; useful for materialising a wire spec at a different concurrency level than the source.

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open override fun merge(values: RecursiveVarianceResult)

Fold another accumulator's snapshot into this one. The unit of merge is the immutable Result; not a live Stat; which is what lets the merge cross a process boundary. Many workers track slices of the same stream, call read periodically, ship snapshots to a coordinator, and the coordinator merges them in.

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open override fun read(timestampNanos: Long = currentTimeNanos()): RecursiveVarianceResult

Materialise the current state as an immutable Result. Reads never mutate, so the caller can read as often as it likes without affecting the stream.

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open override fun reset()

Reset the stat to its prior-seeded baseline. Equivalent to constructing a fresh stat with the same configuration, but in place; keeps the same Concurrency and any per-stat tunables.

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open fun update(value: Double, weight: Double = 1.0)

Record an observation with the given weight, stamped at the current time.

open override fun update(value: Double, timestampNanos: Long, weight: Double = 1.0)

Record an observation at timestampNanos with the given weight. Stats that consume time (rates, decay, windowing) use this as the ordering signal; pass a monotonic stamp when feeding from a replay log.

RecursiveVarianceStat

constructor(omega: Double, alpha: Double, beta: Double, concurrency: Concurrency = Concurrency.None)(source)

alpha

Shock coefficient applied to value^2. Must be >= 0.

beta

Persistence coefficient applied to the previous variance. Must be >= 0.

concurrency

open override val concurrency: Concurrency(source)

The thread-safety contract this stat was constructed with. Each stat picks the cell-encoding and lock strategy that honours this contract for its mathematical structure:

Picked at construction; immutable after.

create

open override fun create(concurrency: Concurrency? = null): RecursiveVarianceStat(source)

Spawn a fresh accumulator with the same configuration. Optionally override the Concurrency; useful for materialising a wire spec at a different concurrency level than the source.

The returned stat is independent: its state starts at the configured baseline, not at the source's current state. Each modality subtype narrows the return type so chaining doesn't lose the modality.

merge

open override fun merge(values: RecursiveVarianceResult)(source)

Fold another accumulator's snapshot into this one. The unit of merge is the immutable Result; not a live Stat; which is what lets the merge cross a process boundary. Many workers track slices of the same stream, call read periodically, ship snapshots to a coordinator, and the coordinator merges them in.

Most stat families implement merge exactly (Chan-style parallel formulas for Welford, cell-wise additions for histograms, cell-wise max for HLL). SGD-based regressors merge approximately; they have no second-moment information for the principled combine. Each stat's KDoc documents its merge semantics.

omega

Long-run baseline term. Must be >= 0.

read

open override fun read(timestampNanos: Long = currentTimeNanos()): RecursiveVarianceResult(source)

Materialise the current state as an immutable Result. Reads never mutate, so the caller can read as often as it likes without affecting the stream.

Snapshot consistency depends on the configured Concurrency. Under Concurrency.Strict / Concurrency.HighWrite a read locks against writers so coupled cells stay consistent. Under Concurrency.Relaxed the cells race and the snapshot may drift by ULPs of the workload under heavy contention; the drift is bounded and the read never throws.

timestampNanos is the read timestamp. Stats that don't care about time silently drop it; stats that do (rates, decay families, recency, windowed wrappers) use it as the ordering signal.

reset

open override fun reset()(source)

Reset the stat to its prior-seeded baseline. Equivalent to constructing a fresh stat with the same configuration, but in place; keeps the same Concurrency and any per-stat tunables.

update

open override fun update(value: Double, timestampNanos: Long, weight: Double = 1.0)(source)

Record an observation at timestampNanos with the given weight. Stats that consume time (rates, decay, windowing) use this as the ordering signal; pass a monotonic stamp when feeding from a replay log.