A numerically stable algorithm for integrating Bayesian models using Markov melding
Sign Up to like & getrecommendations! Published in 2022 at "Statistics and Computing"
DOI: 10.1007/s11222-022-10086-2
Abstract: When statistical analyses consider multiple data sources, Markov melding provides a method for combining the source-specific Bayesian models. Markov melding joins together submodels that have a common quantity. One challenge is that the prior for… read more here.
Keywords: stable algorithm; algorithm integrating; markov melding; integrating bayesian ... See more keywords
A Globally Stable Algorithm for the Integration of High-Index Differential-Algebraic Systems
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DOI: 10.1109/tac.2019.2939638
Abstract: The problem of constraint stabilization and numerical integration for differential-algebraic systems is addressed using Lyapunov theory. It is observed that the application of stabilization methods which rely on a linear feedback mechanism to nonlinear systems… read more here.
Keywords: integration; differential algebraic; globally stable; algebraic systems ... See more keywords
An Optimal and Stable Algorithm for Clustering Numerical Data
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14070197
Abstract: In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and different clustering… read more here.
Keywords: stable algorithm; amh algorithm; algorithm; algorithm clustering ... See more keywords