Graphical models form a cornerstone of modern data analysis by providing a visually intuitive framework to represent and reason about the complex interdependencies among variables. In particular, ...
Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-Sib Design: A Graphical Model Perspective
N. A. Sheehan, B. Gulbrandtsen, M. S. Lund and D. A. Sorensen Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software ...
Bayesian graphical modelling represents the synthesis of several recent developments in applied complex modelling. After describing a moderately challenging real example, we show how graphical models ...
On the 8th of December 2021, M.Sc. Kari Rantanen will defend his doctoral thesis on Optimization Algorithms for Learning Graphical Model Structures. The thesis a part of research done in the ...
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