prob_estimation.h File Reference

Functions for estimating distributional parameters. More...

#include <prob_cpp/prob_distribution.h>
#include <l_cpp/l_exception.h>
#include <algorithm>
#include <cmath>
#include <functional>
#include <boost/accumulators/accumulators.hpp>
#include <boost/accumulators/statistics/stats.hpp>
#include <boost/accumulators/statistics/mean.hpp>
#include <boost/accumulators/statistics/variance.hpp>
#include <boost/bind.hpp>
#include <boost/ref.hpp>

Go to the source code of this file.

Namespaces
	kjb
	Classes and functions for dealing with trajectory files.

Functions
template<class InIter >
Normal_distribution	kjb::mle_normal (InIter first, InIter last)
template<class InIter >
Beta_distribution	kjb::mle_beta (InIter first, InIter last)
template<class InIter >
Gamma_distribution	kjb::mle_gamma (InIter first, InIter last)
template<size_t D, class InIter >
Von_mises_fisher_distribution< D >	kjb::mle_vmf (InIter first, InIter last)

Detailed Description

Functions for estimating distributional parameters.

Author

Kobus Barnard

Ernesto Brau

Given data, we can estimate the parameters of a distribution in many ways, such as maximum-likelihood. Here is the functionality for this.