Package fork.lib.math.algebra.elementary.function.v1.distr

Examples of fork.lib.math.algebra.elementary.function.v1.distr.NormalDistribution

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        coeffsOut.add((double)cluss.get(i).size()/size);
    }
    //funcsOut
    funcsOut= new ArrayList<>();
    for( int i=0; i<cluss.size(); i++ ){
        ParameterEstimation pe= new ParameterEstimation(cluss.get(i), funcs.get(i));
        funcsOut.add(pe.funcOut);
    }
}
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* @param sigma   standard deviation
* @return  
*/
public FunctionV1 kernelDensityEstimation(double sigma){
    try{
        FunctionV1 fn= new ConstantFunction(0);
        Iterator<Double> it= cs.keySet().iterator();
        while(it.hasNext()){
            Double v= it.next();
            Integer f= cs.get(v);
            double coeff= (double) f.intValue()/size();
            fn= fn.add( (new NormalDistribution( v.doubleValue(), sigma)).
                    multiply(new ConstantFunction(coeff)) );
        }
        return fn;
    }catch(FunctionException e){
        e.printStackTrace();
        return null;
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* @param coeffs
* @return
* @throws FunctionException
*/
public static double logLikelihood(Distribution data, ArrayList<DistributionFunction> distrs, ArrayList<Double> coeffs) throws FunctionException{
    FunctionV1 fn= new ConstantFunction(0);
    for( int i=0; i<distrs.size(); i++ ){
        fn = fn.add( distrs.get(i).multiply(new ConstantFunction(coeffs.get(i))) );
    }
    return data.logLikelihood(fn);
}
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Related Classes of fork.lib.math.algebra.elementary.function.v1.distr.NormalDistribution

  • fork.lib.math.algebra.elementary.set.continuous.Region
  • fork.lib.math.applied.dm.peak.EMPeakDetector
  • fork.lib.math.applied.optim.EM
  • fork.lib.math.applied.optim.EMCycle$EMParameterEstimation
  • fork.lib.math.applied.stat.Distribution
  • fork.lib.math.algebra.elementary.function.FunctionException
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