Estimation of Discrete Partially Directed Acyclic Graphical Models in Multitype Branching Processes - Archive ouverte HAL Access content directly
Conference Papers Year : 2014

Estimation of Discrete Partially Directed Acyclic Graphical Models in Multitype Branching Processes

(1, 2) , (2, 3) , (1, 2)
1
2
3

Abstract

We address the inference of discrete-state models for tree-structured data. Our aim is to introduce parametric multitype branching processes that can be efficiently estimated on the basis of data of limited size. Each generation distribution within this macroscopic model is modeled by a partially directed acyclic graphical model. The estimation of each graphical model relies on a greedy algorithm for graph selection. We present an algorithm for discrete graphical model which is applied on multivariate count data. The proposed modeling approach is illustrated on plant architecture datasets.
Fichier principal
Vignette du fichier
FerniqueDurandGuedon2014b.pdf (428.68 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01084524 , version 1 (19-11-2014)

Identifiers

  • HAL Id : hal-01084524 , version 1
  • PRODINRA : 313849

Cite

Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Estimation of Discrete Partially Directed Acyclic Graphical Models in Multitype Branching Processes. COMPSTAT 2014, 21st International Conference on Computational Statistics, The International Association for Statistical Computing (IASC), Aug 2014, Geneva, Switzerland. pp.561-568. ⟨hal-01084524⟩
567 View
299 Download

Share

Gmail Facebook Twitter LinkedIn More