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Intrinsic dimension Model selection Bayes classifier Basic feasible solution Linear least squares Maximum likelihood estimation Ternary search Goodness of fit Model order reduction Likelihood principle Dynamic causal modeling Syntactic monoid Summary statistics Mathematical model Minimax approximation algorithm Least-squares adjustment Empirical risk minimization Margin Deviance information criterion Data assimilation Sample maximum and minimum Minimum cut Mathematical theory Optimal decision Optimization problem Simple linear regression Completeness Minimum bottleneck spanning tree Range minimum query Shortest path problem Dimension Information gain ratio Compactness theorem Decision rule Minimum mean square error Geometric median Relative likelihood Statistical hypothesis testing Symbolic regression Best linear unbiased prediction Knowledge distillation Minimax theorem Hypothetico-deductive model Identifiability Model-dependent realism Optimal substructure Statistical model Range Transitive closure Statistical learning theory Feature Principal component regression Latent variable model Minimal model program Distance from a point to a line Minimax estimator Parametric model Coordinate descent Linear programming K shortest path routing Decision tree learning Latent class model Discriminative model Constrained least squares Model-based design Line fitting Explanatory power Semiparametric model Parameter space Minimum-cost flow problem Property testing Nonlinear mixed-effects model Mm algorithm Feature selection Linear probability model Quantities of information Compactness measure of a shape Maximum theorem Constraint Probabilistic programming Supply and demand Longest path problem Natural semantic metalanguage Bayesian information criterion Likelihood function Inductive reasoning Causal model Inverse-variance weighting Trajectory optimization Akaike information criterion Shortest path faster algorithm Formal concept analysis Median cut Metamodeling Controlling for a variable Minimum phase Split exact sequence Nested sampling algorithm Analysis of competing hypotheses Sequential minimal optimization

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