Sequential decision model for inference and prediction on nonuniform hypergraphs with application to knot matching from computational forestry

DOI10.1214/19-AOAS1255zbMath1437.62059arXiv1708.07592MaRDI QIDQ2281214

James V. Zidek, Samuel W. K. Wong, Seong-Hwan Jun, Alexandre Bouchard-Côté

Publication date: 19 December 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1708.07592

zbMATH Keywords

sequential Monte Carlograph matchingPlackett-Luce modelexpectation maximizationcomputational forestry

Mathematics Subject Classification ID

Applications of graph theory (05C90) Sequential estimation (62L12) Compound decision problems in statistical decision theory (62C25)

Uses Software

• L-BFGS
• ggplot2

Cites Work

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• Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes
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• Particle Markov Chain Monte Carlo Methods
• Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
• An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
• Full Matching in an Observational Study of Coaching for the SAT

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