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Mixed scale joint graphical lasso

Author

Listed:
  • Eugen Pircalabelu
  • Gerda Claeskens
  • Lourens Waldorp

Abstract

We develop a method for estimating brain networks from fMRI datasets that have not all been measured using the same set of brain regions. Some of the coarse scale regions have been split in smaller subregions. The proposed penalized estimation procedure selects undirected graphical models with similar structures that combine information from several subjects and several coarseness scales. Both within scale edges and between scale edges that identify possible connections between a large region and its subregions are estimated.

Suggested Citation

  • Eugen Pircalabelu & Gerda Claeskens & Lourens Waldorp, 2016. "Mixed scale joint graphical lasso," Working Papers of Department of Decision Sciences and Information Management, Leuven 540397, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    • Handle: RePEc:ete:kbiper:540397
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    File URL: https://lirias.kuleuven.be/retrieve/387107
    File Function: Mixed scale joint graphical lasso
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