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Gibbs samplingProbability distributionStochastic differential equationDiffusion processGradient descentAlgorithmic probabilityOdds algorithmMilstein methodConjugate gradient methodProbability-generating functionRecursive bayesian estimationStability theoryStochastic gradient descentLangevin equationHamiltonian monte carloGaussian processStochastic processBiconjugate gradient methodMalliavin calculusLikelihood functionProbability distribution fittingBranching processGumbel distributionIterative methodGibbs measureProbabilistic turing machinePoisson limit theoremProbability mass functionEuler methodGeneralized estimating equationDeterministic global optimizationOptimal controlStepwise regressionDetrended fluctuation analysisGittins indexTrajectory optimizationMathematical statisticsRough pathDoob decomposition theoremAnscombe transformDoob's martingale inequalityMaximum likelihood estimationScoring algorithmPoisson distributionStiffness matrixSecond moment methodGeneralized least squaresAlgorithmLearning rateGenerating functionQuasi-monte carlo methodStatistical physicsDeterminantal point processBranching random walkStochastic controlCoverage probabilityBackfitting algorithmPerturbation theoryAutocovarianceBinomial regressionDiscrete-time markov chainDelta methodPoisson point processGenerative designPoisson summation formulaProbabilistic classificationGeneralized additive modelMarkov chainExponential distributionParticle swarm optimizationKrigingRicci flowGeometric flowFlow-based generative modelCox processQuantile functionReflection principleBayes' theoremCross-covarianceLog-logistic distributionStein's methodClenshaw algorithmPoisson binomial distributionAnt colony optimization algorithmsMartingaleLocal linearization methodCollocation methodApproximation theoryIndex calculus algorithmDecision theoryKolmogorov continuity theoremApproximation algorithmTheory of computationJacobi methodKolmogorov equationsKalman filterNested sampling algorithmTridiagonal matrix algorithmProbability spaceLinear predictor function