Package stallone.stat

Examples of stallone.stat.DiscreteDistribution

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    public MarkovChain(IDoubleArray _startingDistribution, IDoubleArray _T)
    {
        this.T = _T;
        dd = new DiscreteDistributions(_T);
        this.p0 = _startingDistribution;
        p0dist = new DiscreteDistribution(p0);
    }
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     */
    public void setStartingDistribution(IDoubleArray _p0)
    {
        fixedStartingState = false;
        p0 = _p0;
        p0dist = new DiscreteDistribution(p0);
    }
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        else
        {
            if (p0 == null)
            {
                p0 = msm.stationaryDistribution(T);
                p0dist = new DiscreteDistribution(p0);
            }
            return p0dist.sample();
        }
    }
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        // save memory?
        boolean saveMemory = false;

        // output model and parametrizer
        DiscreteDistribution dd = new DiscreteDistribution(initialParameters.getOutputParameters(0));
        dd.setPrior(prior);
        EM em = new EM(_obs, eventBased, initialParameters.getNStates(), initialParameters.isReversible(), dd, dd, saveMemory);
        em.setInitialParameters(initialParameters);

        return em;
    }
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        // save memory?
        boolean saveMemory = false;

        // output model and parametrizer
        DiscreteDistribution dd = new DiscreteDistribution(initialParameters.getOutputParameters(0));
        EM em = new EM(_obs, eventBased, initialParameters.getNStates(), initialParameters.isReversible(), dd, dd, saveMemory);
        em.setInitialParameters(initialParameters);

        return em;
    }
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Related Classes of stallone.stat.DiscreteDistribution

  • stallone.api.doubles.IDoubleArray
  • stallone.api.hmm.HMMFactory
  • stallone.mc.MarkovChain
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