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Acta Crystallographica Section A Foundations of Crystallography, 1988
In this first of three papers on a full Bayesian theory of crystal structure determination, it is shown that all currently used sources of phase information can be represented and combined through a universal expression for the joint probability distribution of structure factors.
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In this first of three papers on a full Bayesian theory of crystal structure determination, it is shown that all currently used sources of phase information can be represented and combined through a universal expression for the joint probability distribution of structure factors.
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A type theory for probability density functions
ACM-SIGACT Symposium on Principles of Programming Languages, 2012There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language that simultaneously provides (1) continuous probability distributions, (2 ...
Sooraj Bhat +3 more
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13th Computational Fluid Dynamics Conference, 1997
Jose Camberos, Jose Camberos
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Jose Camberos, Jose Camberos
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International Symposium on Information Theory, 2016
F. Cicalese, L. Gargano, U. Vaccaro
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F. Cicalese, L. Gargano, U. Vaccaro
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L‐Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics
, 1990J. Hosking
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Choosing Probability Distributions for Stochastic Local Search and the Role of Make versus Break
International Conference on Theory and Applications of Satisfiability Testing, 2012A. Balint, U. Schöning
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Information geometry on hierarchy of probability distributions
IEEE Transactions on Information Theory, 2001S. Amari
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An expansion for some second-order probability distributions and its application to noise problems
IRE Transactions on Information Theory, 1955J. Barrett, D. Lampard
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