Log-Normal random walk. More...
#include <exp_family.h>
| Public Member Functions | |
| mlognorm () | |
| Constructor. | |
| void | set_parameters (int size, double k) | 
| Set value of k. | |
| void | condition (const vec &val) | 
| void | from_setting (const Setting &set) | 
| elognorm & | e () | 
| access function to iepdf | |
| vec | samplecond (const vec &cond) | 
| Reimplements samplecond using condition(). | |
| double | evallogcond (const vec &val, const vec &cond) | 
| Reimplements evallogcond using condition(). | |
| virtual vec | evallogcond_m (const mat &Dt, const vec &cond) | 
| Efficient version of evallogcond for matrices. | |
| virtual vec | evallogcond_m (const Array< vec > &Dt, const vec &cond) | 
| Efficient version of evallogcond for Array<vec>. | |
| virtual mat | samplecond_m (const vec &cond, int N) | 
| Efficient version of samplecond. | |
| 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. | |
| Access to attributes | |
| RV | _rv () const | 
| RV | _rvc () | 
| int | dimension () const | 
| int | dimensionc () | 
| Connection to other objects | |
| void | set_rvc (const RV &rvc0) | 
| void | set_rv (const RV &rv0) | 
| bool | isnamed () | 
| Protected Member Functions | |
| void | set_ep (epdf &iepdf) | 
| set internal pointer epto point to giveniepdf | |
| void | set_ep (epdf *iepdfp) | 
| set internal pointer epto point to giveniepdf | |
| Protected Attributes | |
| double | sig2 | 
| parameter 1/2*sigma^2 | |
| vec & | mu | 
| access | |
| elognorm | iepdf | 
| Internal epdf used for sampling. | |
| int | dimc | 
| dimension of the condition | |
| RV | rvc | 
| random variable in condition | |
Log-Normal random walk.
Mean value,  , is...
, is...
==== Check == vv = Standard deviation of the random walk is proportional to one  -th the mean. This is achieved by setting
-th the mean. This is achieved by setting  and
 and  .
.
The standard deviation of the walk is then:  .
. 
| void bdm::mlognorm::condition | ( | const vec & | cond | ) |  [inline, virtual] | 
Update iepdf so that it represents this mpdf conditioned on rvc = cond This function provides convenient reimplementation in offsprings 
Reimplemented from bdm::mpdf_internal< elognorm >.
Referenced by from_setting().
| void bdm::mlognorm::from_setting | ( | const Setting & | set | ) |  [virtual] | 
The mlognorm is constructed from a structure with fields:
                system = {
                        type = "mlognorm";
                        k = 0.1;                                  // constant k
                        mu0 = [1., 1.];
                        
                        // == OPTIONAL ==
                        // description of y variables
                        y = {type="rv"; names=["y", "u"];};
                        // description of u variable
                        u = {type="rv"; names=[];}
                };
Reimplemented from bdm::mpdf.
References condition(), bdm::UI::get(), and set_parameters().
 1.6.1
 1.6.1