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Physical Review E. Statistical mechanics for natural flocks of birds.

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Correlated mutations and residue contacts in proteins. Taylor WR, Hatrick K. Compensating changes in protein multiple sequence alignments.

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Probabilistic graphical models: principles and techniques. MIT press; Mead LR, Papanicolaou N. Maximum entropy in the problem of moments. Journal of Mathematical Physics. MacKay DJ. Information theory, inference and learning algorithms. Cambridge university press; Elements of information theory.

An algorithm for finding the distribution of maximal entropy. Journal of Computational Physics. Shannon CE. A Mathematical Theory of Communication. Bell system technical journal. Jaynes ET. Information Theory and Statistical Mechanics. Physical Review. Probability theory: the logic of science. Cambridge: Cambridge university press; Murphy KP. Machine learning: a probabilistic perspective. The MIT Press; Balescu R. Matter out of Equilibrium. World Scientific; Goldstein S, Lebowitz JL. On the Boltzmann entropy of non-equilibrium systems. Physica D: Nonlinear Phenomena.

Gamma distribution

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    Kappen HJ, Rodriguez F. Efficient learning in Boltzmann machines using linear response theory. Neural Computation. Tanaka T. Mean-field theory of Boltzmann machine learning. Statistical physics of pairwise probability models. Frontiers in computational neuroscience. Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning. Faster solutions of the inverse pairwise Ising problem. Besag J. Statistical analysis of non-lattice data.

    The Statistician. Liang P, Jordan MI. An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators. In: Proceedings of the 25th international conference on Machine learning. ACM; Estimation of sparse binary pairwise markov networks using pseudo-likelihoods.

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    The Journal of Machine Learning Research. Advanced search. Author s Product display : Jean-Pierre Gabardo. Abstract: In this work, the maximum entropy method is used to solve the extension problem associated with a positive-definite function, or distribution, defined on an interval of the real line. Publication Month and Year: Copyright Year: Page Count: Online ISBN Online ISSN: Primary MSC: Secondary MSC: Ramos, Eduardo Ramos. The American Statistician , pages Non-Uniform Random Variate Generation.

    New York: Springer-Verlag. See Chapter 9, Section 3. Communications of the ACM. See Algorithm GD, p. Some simple gamma variate generators. The squeeze method for generating gamma variates. Comput, Math.

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    Cai and X. Xie "Linking stochastic dynamics to population distribution: An analytical framework of gene expression", Phys. In progress report: Extension and enhancement of methods for setting data quality objectives. December Probability distributions. Benford Bernoulli beta-binomial binomial categorical hypergeometric Poisson binomial Rademacher soliton discrete uniform Zipf Zipf—Mandelbrot. Cauchy exponential power Fisher's z Gaussian q generalized normal generalized hyperbolic geometric stable Gumbel Holtsmark hyperbolic secant Johnson's S U Landau Laplace asymmetric Laplace logistic noncentral t normal Gaussian normal-inverse Gaussian skew normal slash stable Student's t type-1 Gumbel Tracy—Widom variance-gamma Voigt.

    Discrete Ewens multinomial Dirichlet-multinomial negative multinomial Continuous Dirichlet generalized Dirichlet multivariate Laplace multivariate normal multivariate stable multivariate t normal-inverse-gamma normal-gamma Matrix-valued inverse matrix gamma inverse-Wishart matrix normal matrix t matrix gamma normal-inverse-Wishart normal-Wishart Wishart.

    Degenerate Dirac delta function Singular Cantor. Circular compound Poisson elliptical exponential natural exponential location—scale maximum entropy mixture Pearson Tweedie wrapped. Categories : Continuous distributions Factorial and binomial topics Conjugate prior distributions Exponential family distributions Infinitely divisible probability distributions Survival analysis.

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