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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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Draws one uniform in each of M equal strata of [0, 1). More...
#include <EmrysFilter/Core/Resampling.h>
Public Member Functions | |
| template<std::floating_point Scalar, std::uniform_random_bit_generator G> | |
| void | operator() (std::span< Scalar const > weights, std::span< Eigen::Index > ancestors, G &rng) const |
| Fills ancestors with indices into weights, one drawn in each stratum of [0, 1), using rng. | |
| template<ExecutionPolicy P, std::floating_point Scalar, std::uniform_random_bit_generator G> | |
| void | operator() (P &&policy, std::span< Scalar const > weights, std::span< Eigen::Index > ancestors, G &rng) const |
| As the sequential form, under policy, with the uniforms drawn first in stratum order, as the sequential form draws them. | |
Draws one uniform in each of M equal strata of [0, 1).
Stratified sampling as Kitagawa (1996) applies it to the Monte Carlo filter, as given in Douc, Cappé, and Moulines (2005), §2.3: position \( j \) is \( (j + u_j) / M \) with independent \( u_j \).
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inline |
As the sequential form, under policy, with the uniforms drawn first in stratum order, as the sequential form draws them.
Under Sequential it is the sequential form.