#include <exp_family.h>
Public Member Functions | |
| mgamma () | |
| Constructor. | |
| void | set_parameters (double k, const vec &beta0) |
Set value of k. | |
| void | condition (const vec &val) |
Update ep so that it represents this mpdf conditioned on rvc = cond. | |
| void | from_setting (const Setting &set) |
| virtual string | to_string () |
| This method returns a basic info about the current instance. | |
| virtual void | to_setting (Setting &set) const |
| This method save all the instance properties into the Setting structure. | |
| virtual void | validate () |
| This method TODO. | |
Matematical operations | |
| virtual vec | samplecond (const vec &cond) |
Returns a sample from the density conditioned on cond, . | |
| virtual mat | samplecond_m (const vec &cond, int N) |
| Returns. | |
| virtual double | evallogcond (const vec &dt, const vec &cond) |
| Shortcut for conditioning and evaluation of the internal epdf. In some cases, this operation can be implemented efficiently. | |
| virtual vec | evallogcond_m (const mat &Dt, const vec &cond) |
| Matrix version of evallogcond. | |
| virtual vec | evallogcond_m (const Array< vec > &Dt, const vec &cond) |
| Array<vec> version of evallogcond. | |
Access to attributes | |
| RV | _rv () |
| RV | _rvc () |
| int | dimension () |
| int | dimensionc () |
| epdf * | e () |
| void | set_ep (shared_ptr< epdf > ep) |
Connection to other objects | |
| void | set_rvc (const RV &rvc0) |
| void | set_rv (const RV &rv0) |
| bool | isnamed () |
Protected Attributes | |
| shared_ptr< egamma > | iepdf |
Internal epdf that arise by conditioning on rvc. | |
| double | k |
Constant . | |
| vec & | _beta |
| cache of iepdf.beta | |
| int | dimc |
| dimension of the condition | |
| RV | rvc |
| random variable in condition | |
Mean value,
, of this density is given by rvc . Standard deviation of the random walk is proportional to one
-th the mean. This is achieved by setting
and
.
The standard deviation of the walk is then:
.
| void bdm::mgamma::from_setting | ( | const Setting & | set | ) | [inline, virtual] |
Load from structure with elements:
{ alpha = [...]; // vector of alpha
k = 1.1; // multiplicative constant k
rv = {class="RV",...} // description of RV
rvc = {class="RV",...} // description of RV in condition
}
Reimplemented from bdm::mpdf.
References bdm::UI::get(), k, and set_parameters().
| vec bdm::mpdf::samplecond | ( | const vec & | cond | ) | [virtual, inherited] |
Returns a sample from the density conditioned on cond,
.
| cond | is numeric value of rv |
Reimplemented in bdm::mprod.
References bdm::mpdf::condition().
Referenced by bdm::MPF< BM_T >::bayes(), bdm::PF::bayes(), and bdm::ArxDS::step().
| mat bdm::mpdf::samplecond_m | ( | const vec & | cond, | |
| int | N | |||
| ) | [virtual, inherited] |
Returns.
| N | samples from the density conditioned on cond, . | |
| cond | is numeric value of rv |
References bdm::mpdf::condition().
1.5.9