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Logsumexp Probability mass function Probability distribution Matrix normal distribution Likelihood function Kernel density estimation Kernel embedding of distributions Probability-generating function Cumulative distribution function Normal distribution Log-normal distribution Log-logistic distribution Characteristic function Skew normal distribution Projection matrix Hyperexponential distribution Linear predictor function Logit-normal distribution Maximum likelihood estimation Platt scaling Reciprocal distribution Dirichlet distribution Probabilistic classification Probability measure Quantile function Multivariate normal distribution Kernel regression Probit Multivariate t-distribution Expected value Hyperbolic secant distribution K-distribution Probability distribution fitting Log-linear model Multinomial test Logarithmic distribution Linear regression Quadratic form Rayleigh distribution Marginal distribution Probability integral transform Residual sum of squares Radial basis function kernel Conditional variance Logarithmic norm Covariance function Covariance matrix Complex random variable Delta method Posterior predictive distribution Normal-inverse-gamma distribution Gumbel distribution Asymmetric laplace distribution Bilinear form Multinomial logistic regression Polynomial kernel Empirical orthogonal functions Exponential dispersion model Markov kernel Normal-gamma distribution Gaussian process Kriging Multinomial probit Chi-squared distribution Matrix exponential Martingale central limit theorem Poisson summation formula Hilbert transform Recursive bayesian estimation Probability density function Probabilistic neural network Isserlis' theorem K-means clustering Regular conditional probability Implicit function theorem Scale parameter Bayesian hierarchical modeling Ratio distribution Empirical distribution function Dirichlet-multinomial distribution Skewness Markov's inequality K-svd Gradient Linear prediction Conditional mutual information Exponential distribution Fuzzy clustering Coefficient of variation Multivalued function Poisson regression Q-gaussian distribution Gaussian random field Approximate bayesian computation Logit Convex conjugate Multivariate laplace distribution Commutation matrix Convolution theorem Maximum a posteriori estimation

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