Structural adaptation in mixture of experts

Author(s):  
V. Ramamurti ◽  
J. Ghosh
2020 ◽  
Author(s):  
Spark C. Tseung ◽  
Andrei Badescu ◽  
Tsz Chai Fung ◽  
Xiaodong Sheldon Lin

2021 ◽  
Vol 123 ◽  
pp. 14-23
Author(s):  
John P. O’Doherty ◽  
Sang Wan Lee ◽  
Reza Tadayonnejad ◽  
Jeff Cockburn ◽  
Kyo Iigaya ◽  
...  
Keyword(s):  

Author(s):  
Luis M. Lopez-Ramos ◽  
Yves Teganya ◽  
Baltasar Beferull-Lozano ◽  
Seung-Jun Kim

Author(s):  
Igor Tkach ◽  
Ulf Diederichsen ◽  
Marina Bennati

AbstractElectron paramagnetic resonance (EPR)-based pulsed dipolar spectroscopy measures the dipolar interaction between paramagnetic centers that are separated by distances in the range of about 1.5–10 nm. Its application to transmembrane (TM) peptides in combination with modern spin labelling techniques provides a valuable tool to study peptide-to-lipid interactions at a molecular level, which permits access to key parameters characterizing the structural adaptation of model peptides incorporated in natural membranes. In this mini-review, we summarize our approach for distance and orientation measurements in lipid environment using novel semi-rigid TOPP [4-(3,3,5,5-tetramethyl-2,6-dioxo-4-oxylpiperazin-1-yl)-L-phenylglycine] labels specifically designed for incorporation in TM peptides. TOPP labels can report single peak distance distributions with sub-angstrom resolution, thus offering new capabilities for a variety of TM peptide investigations, such as monitoring of various helix conformations or measuring of tilt angles in membranes. Graphical Abstract


2021 ◽  
pp. 1-17
Author(s):  
Sen Hu ◽  
T. Brendan Murphy ◽  
Adrian O’Hagan

Abstract The mvClaim package in R provides flexible modelling frameworks for multivariate insurance claim severity modelling. The current version of the package implements a parsimonious mixture of experts (MoE) model family with bivariate gamma distributions, as introduced in Hu et al., and a finite mixture of copula regressions within the MoE framework as in Hu & O’Hagan. This paper presents the modelling approach theory briefly and the usage of the models in the package in detail. This package is hosted on GitHub at https://github.com/senhu/.


Sign in / Sign up

Export Citation Format

Share Document