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NeuroLab
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estimates interval distribution, mean, var, etc. of a time series More...

Public Member Functions | |
| IntervalEstimator (const Property &, StochasticEventGenerator *, class Time *) | |
| Constructor. | |
| virtual | ~IntervalEstimator () |
| Destructor. | |
| virtual void | collect () |
| Eat next piece of data. | |
| virtual void | init () |
| reset all counters | |
Public Member Functions inherited from ScalarEstimator | |
| virtual Matrix | getEstimate (const Property &) |
| return result of estimation | |
| ScalarEstimator (const Property &, StochasticProcess *, Time *) | |
| Constructor. | |
| void | setProperty (const Property &, double) |
| set distribution-related properties | |
| virtual | ~ScalarEstimator () |
| Destructor. | |
Public Member Functions inherited from Estimator | |
| Estimator (StochasticProcess *src, Time *time, const string &name="", const string &type="Estimator") | |
| Construct. More... | |
| virtual | ~Estimator () |
| Destroy. More... | |
Public Member Functions inherited from Parametric | |
| string | getType () const |
| Type of object. | |
| string | getName () const |
| Name of object. | |
| void | setName (const string &name) |
| Name of object. | |
| string | getConfiguration () const |
| Returns the configuration of the object. More... | |
| string | getAllParameters () const |
| String with all parameter settings. | |
| void | addParameter (const string &name) |
| Add a parameter. More... | |
| void | rmParameter (const string &name) |
| Remove a parameter. More... | |
| virtual void | setParameter (const string &name, const string &value) |
| Set parameter. More... | |
| virtual string | getParameter (const string &name) const |
| Get parameter. More... | |
Additional Inherited Members | |
Protected Member Functions inherited from Parametric | |
| Parametric (const string &name, const string &type) | |
| Create object of type and name. | |
| virtual | ~Parametric () |
| Destroy object. | |
Protected Attributes inherited from Estimator | |
| Property | nEstimate |
| what to record | |
| StochasticProcess * | pSource |
| the source of data | |
| uint | nSamples |
| number of samples recorded | |
| Time * | estimatorTime |
| Time process for registering and running. | |
estimates interval distribution, mean, var, etc. of a time series
This class gets an Event-pointer, and records mean, variance etc. of inter-event intervals. This is useful for any sort of point process - f.i. a Neuron, which emits spikes as events.