Sparse graphs using exchangeable random measures

F Caron, EB Fox - Journal of the Royal Statistical Society Series …, 2017 - academic.oup.com
Statistical network modelling has focused on representing the graph as a discrete structure,
namely the adjacency matrix. When assuming exchangeability of this array—which can aid …

Statistical Analysis of Quantitative Cancer Imaging Data

S Mohammed, M Masotti, N Osher… - Statistics and Data …, 2024 - Taylor & Francis
Recent advances in types and extant of medical imaging technologies has led to
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …

The weight function in the subtree kernel is decisive

R AzaÃŊs, F Ingels - Journal of Machine Learning Research, 2020 - jmlr.org
Tree data are ubiquitous because they model a large variety of situations, eg, the
architecture of plants, the secondary structure of RNA, or the hierarchy of XML files …

Inference for conditioned Galton-Watson trees from their Harris path

R Azaïs, A Genadot, B Henry - arXiv preprint arXiv:1609.01057, 2016 - arxiv.org
Tree-structured data naturally appear in various fields, particularly in biology where plants
and blood vessels may be described by trees, but also in computer science because XML …

Association testing for binary trees—A Markov branching process approach

X Wu, H Zhu - Statistics in Medicine, 2022 - Wiley Online Library
We propose a new approach to test associations between binary trees and covariates. In
this approach, binary‐tree structured data are treated as sample paths of binary fission …

[PDF][PDF] The weight function in the subtree kernel is decisive

R Azaıs, F Ingels - stat, 2019 - researchgate.net
Tree data are ubiquitous because they model a large variety of situations, eg, the
architecture of plants, the secondary structure of RNA, or the hierarchy of XML files …

Statistical approaches for interpretable radiomics

K Shoemaker - 2019 - search.proquest.com
Imaging of tumors is a standard step in diagnosing cancer and making subsequent
treatment decisions. The emerging field of radiomics aims to extract quantitative features …

Bayesian Modeling of Complex High-Dimensional Data

S Huo - 2020 - vtechworks.lib.vt.edu
With the rapid development of modern high-throughput technologies, scientists can now
collect high-dimensional complex data in different forms, such as medical images, genomics …