finite_mle
std.stats.finite_mle · Level L2The maximum-likelihood estimator on a finite parametric model, one law P_θ per row: for every possible sample x, the likelihood θ ↦ P_θ(x) is maximized over all θ, and the estimate is the first θ attaining it, a fixed tie order that does not depend on the unknown θ. Also the maximal likelihood, whether there is a tie, and whether every likelihood is 0 there. The MLE maximizes the likelihood, not a posterior; it need not be unique, unbiased or consistent.
Signature
finite_mle(P: f64[r, n]) → f64[n], f64[n], f64[n], f64[n]
Structure
The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Equal to the reference
the first largest entry of each column, its value, ties and zerosin exact rational arithmetic, on all 40 test cases. - All 564 float64 results are exact: the error is zero.
- Interpreter and NumPy backend return bit-identical results.
- At float32 too: the 40 test cases rounded to float32, and 40 of them exact, with zero error.
- correctly rounded (the float64 nearest the exact value)
- 100%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 0
Identity
sha256:8f0ad5297bac34a204319d7ae60286934cea98aec58e16334ded4da42c3d2fe4The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.stats.finite_mle · Ω:finite_mle
- Pins
sha256:928c33b38922a66b2afb54c72e904772981c850978f8bce53d2091b2a25bf726this graph alone- Evidence
sha256:e30f4f00765efe9d4dc74c556824660974867c157555bf0f4ef783dddb06ea4dthe hash of its verification record- Needs
- no capability: a pure function
Through NOVA’s control layer, the symbol launches this function only while the program still matches what it pins: a change to this graph, or to any graph it reaches, needs a migration first.