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Optimal estimationEstimating equationsStepwise regressionOrdinary least squaresNested sampling algorithmBest linear unbiased predictionInverse iterationPoisson regressionGeneralized linear modelMaximum likelihood estimationRegressionSimple linear regressionProbability distribution fittingRejection samplingAdditive modelGeneralized method of momentsBayesian vector autoregressionResidual sum of squaresLikelihood functionBackpropagationInterval estimationMultivariate analysis of varianceStatistical learning theoryGeneralized estimating equationBackshiftSliding dftQuantile regressionBiconjugate gradient methodStatistical inferencePrincipal component regressionMarkov chain monte carloHierarchical dirichlet processLinear regressionBackward euler methodGradient methodBinary regressionGeneralized least squaresInverse-variance weightingJackknife resamplingGauss-seidel methodIndex calculus algorithmKernel regressionEllipsoid methodDiffusion processApproximate bayesian computationFixed-point iterationLogitProbitMilstein methodLaplace's methodExploratory factor analysisEmpirical bayes methodFiduccia-mattheyses algorithmSimplex algorithmResponse surface methodologyFisher's methodMathematical statisticsMethod of momentsMidpoint methodLinear trend estimationStatistical shape analysisEstimation theoryStatisticsGradient descentLinear least squaresBayes classifierBasis pursuit denoisingRamsey reset testAutoregressionMultinomial testEstimatorBacktracking line searchAlgorithmic probabilityRandom effects modelBayesian structural time seriesDiscrete choice analysis2-optLinear probability modelConfirmatory factor analysisAnalysis of covarianceDecision tree learningLinear interpolationSampling distributionRegression treeRatio estimatorOdds algorithmStationary phase approximationDynamic causal modelingStatistical modelFirst-difference estimatorAntithetic variatesParametric modelRecursive bayesian estimationLatent class modelCross-validationControl variatesPartition functionMethod of characteristicsSymbolic regressionGradient boosting