Works (3)

Updated: August 28th, 2023 21:16

2022 journal article

Geostatistical modeling of positive-definite matrices: An application to diffusion tensor imaging

BIOMETRICS, 78(2), 548–559.

By: Z. Lan*, B. Reich, J. Guinness, D. Bandyopadhyay, L. Ma & F. Moeller

author keywords: Cholesky decomposition; diffusion tensor imaging; geostatistical modeling; positive‐ definite matrix; spatial random fields; spatial Wishart process
MeSH headings : Computer Simulation; Diffusion Tensor Imaging; Normal Distribution; Stochastic Processes
Sources: Web Of Science, ORCID
Added: March 8, 2021

2021 journal article

A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 49(1), 129–149.

By: Z. Lan*, B. Reich n & D. Bandyopadhyay*

co-author countries: United States of America 🇺🇸
author keywords: Diffusion tensor imaging; inverse Wishart distribution; matrix variate; positive definite matrix; spatial statistics
Sources: Web Of Science, ORCID
Added: February 15, 2021

2016 journal article

Bayesian network feature finder (BANFF): an r package for gene network feature selection

Bioinformatics, 32(23), 3685–3687.

By: Z. Lan, Y. Zhao, J. Kang & T. Yu

Source: NC State University Libraries
Added: August 6, 2018