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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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A draw of the observation that a measurement model known by its likelihood alone makes of a state, as sample() declares it, for simulate() (decisions.md [likelihood-measurements], [model-policies]): a function g(in, x, rng) of the model's input space instance, its input vector, and the caller's generator, returning the observation. More...
#include <EmrysFilter/Models/Policies.h>
Public Attributes | |
| G | function |
| a draw of \( z \sim p(z \mid x) \) as g(in, x, rng) | |
A draw of the observation that a measurement model known by its likelihood alone makes of a state, as sample() declares it, for simulate() (decisions.md [likelihood-measurements], [model-policies]): a function g(in, x, rng) of the model's input space instance, its input vector, and the caller's generator, returning the observation.
| G | the function |