/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
OperatorType.STDERROR2) ; Arrays.asList( this, new RandomVariableFromDoubleArray( probabilities) ) ,
Arrays.asList ( this, new RandomVariableFromDoubleArray ( probabilities ) ) , OperatorType.STDERROR2 ) ;
Arrays.asList(this, new RandomVariableFromDoubleArray(probabilities)), OperatorType.STDEV2); } public RandomVariable getStandardErrorAsRandomVariableAAD(final RandomVariable probabilities){ return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray(getStandardError(probabilities)), <extra_id_0> } public RandomVariable getAverageAsRandomVariableAAD(){ return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray(getAverage()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.AVERAGE);