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pro vyhledávání: '"Bivariate von Mises distribution"'
Akademický článek
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A key challenge in conformer sampling is finding low-energy conformations with a small number of energy evaluations. We recently demonstrated the Bayesian Optimization Algorithm (BOA) is an effective method for finding the lowest energy conformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa9a4aa3f02c28ac23f0a3cb0bf8a37
https://ora.ox.ac.uk/objects/uuid:1fb288b1-9b3e-4381-b8d9-e41f2b22b0c2
https://ora.ox.ac.uk/objects/uuid:1fb288b1-9b3e-4381-b8d9-e41f2b22b0c2
Publikováno v:
Mathematics, Vol 9, Iss 2749, p 2749 (2021)
Mathematics
Volume 9
Issue 21
Mathematics
Volume 9
Issue 21
Proteins are found in all living organisms and constitute a large group of macromolecules with many functions. Proteins achieve their operations by adopting distinct three-dimensional structures encoded within the sequence of the constituent amino ac
Akademický článek
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Autor:
Bressloff, Paul C
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 3, p e1006755 (2019)
PLoS Computational Biology, Vol 15, Iss 3, p e1006755 (2019)
We use stochastic neural field theory to analyze the stimulus-dependent tuning of neural variability in ring attractor networks. We apply perturbation methods to show how the neural field equations can be reduced to a pair of stochastic nonlinear pha
Autor:
Shogo Kato, Arthur Pewsey
Publikováno v:
Statistics and Computing. 26:1307-1317
The Wehrly---Johnson family of bivariate circular distributions is by far the most general one currently available for modelling data on the torus. It allows complete freedom in the specification of the marginal circular densities as well as the bind
Autor:
Serguei Primak, Valeri Kontorovich
Publikováno v:
Wireless Multi-Antenna Channels: Modeling and Simulation
This chapter contains sections titled: General classification of MIMO channel models Physical models Analytical models Geometrical phenomenological models On the role of trigonometric polynomials in analysis and simulation of MIMO channels Canonical
Publikováno v:
Journal of the American Statistical Association. 104(486):586-596
Interest in predicting protein backbone conformational angles has prompted the development of modeling and inference procedures for bivariate angular distributions. We present a Bayesian approach to density estimation for bivariate angular data that
Publikováno v:
Biometrika. 96(4):975-982
In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable. In this paper we investigate the use of composite likelihoods instead of
Publikováno v:
Journal of the Royal Society, Interface. 12(105)
Structurally motivated material models may provide increased insights into the underlying mechanics and physics of arteries under physiological loading conditions. We propose a multiscale model for arterial tissue capturing three different scales (i)