Class OrderedRegression<E1 extends Enum<E1> & IntegerValuedEnum>
java.lang.Object
microsim.statistics.regression.OrderedRegression<E1>
- Type Parameters:
E1- event type.
- All Implemented Interfaces:
IDiscreteChoiceModel<E1>
public class OrderedRegression<E1 extends Enum<E1> & IntegerValuedEnum>
extends Object
implements IDiscreteChoiceModel<E1>
Ordered Discrete Variable Models.
Let y define a discrete valued set {y_0,y_1,..., y_n}.
Each y_i is an indicator variable for discrete value i,
where higher values of i reflect some natural ordering of the set.
ystar = Xb + e
y_j = 1 if cut_j-1 < ystar <= cut_j and 0 otherwise.
P(y_j=1|X) = P(cut_j-1<ystar).P(ystar<=cut_j) = (1 - P(ystar<=cut_j-1)).P(ystar<=cut_j)
= P(ystar<=cut_j) - P(ystar<=cut_j).P(ystar<=cut_j-1) = P(ystar<=cut_j) - P(ystar<=cut_j-1) = F(cut_j-Xb) - F(cut_j-1-Xb)
NB: P(ystar<=cut_j).P(ystar<=cut_j-1) = P(ystar<=cut_j-1) because
cut_j-1 <= cut_j
- Author:
- Justin van de Ven
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Constructor Summary
ConstructorsConstructorDescriptionOrderedRegression(RegressionType type, Class<E1> enumType, MultiKeyCoefficientMap map) -
Method Summary
Modifier and TypeMethodDescriptiondoublegetCoefficient(String regressor) getProbabilities(IDoubleSource iDblSrc, Class<E2> Regressors) <E2 extends Enum<E2>>
doublegetProbability(E1 event, IDoubleSource iDblSrc, Class<E2> Regressors)
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Constructor Details
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OrderedRegression
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Method Details
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getCoefficient
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getEventList
- Specified by:
getEventListin interfaceIDiscreteChoiceModel<E1 extends Enum<E1> & IntegerValuedEnum>
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getProbability
public <E2 extends Enum<E2>> double getProbability(E1 event, IDoubleSource iDblSrc, Class<E2> Regressors) - Specified by:
getProbabilityin interfaceIDiscreteChoiceModel<E1 extends Enum<E1> & IntegerValuedEnum>
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getProbabilities
public <E2 extends Enum<E2>> Map<E1,Double> getProbabilities(IDoubleSource iDblSrc, Class<E2> Regressors) - Specified by:
getProbabilitiesin interfaceIDiscreteChoiceModel<E1 extends Enum<E1> & IntegerValuedEnum>
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