arXiv subjects

Shiying Xiao

Publications and source records attributed to Shiying Xiao.

3 recordsLinked to original sources

arXiv2026

Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease

Functional connectivity analysis is an important tool for characterizing interactions among brain regions, particularly in studies of neurodegenerative disorders such as Alzheimer's disease (AD). Gaussian graphical models (GGMs) provide a promising statistical framework for estimating functional connectivity by capturing conditional dependence relationships among brain regions. Although a variety of regularized precision matrix estimators have been proposed to estimate sparse conditional dependency structures for GGMs, their comparative performance and practical implications for neuroimaging studies are not well understood. In this work, we present a comprehensive statistical review and empirical evaluation of widely used GGM estimation methods, including the graphical lasso (glasso), ridge-based glasso, graphical elastic net, adaptive glasso, smoothly clipped absolute deviation (SCAD), minimax concave penalty (MCP), constrained $\ell_1$ minimization for inverse matrix estimation (CLIME), and tuning-insensitive graph estimation and regression (TIGER). Their performance is evaluated through extensive data-driven simulations designed to reflect realistic neuroimaging settings, along with an application to an AD cohort study to illustrate methodological differences and their impact on downstream network analysis. In addition, a user-friendly R package, spice, is provided to facilitate implementation and enhance the reproducibility of empirical studies.

stat.ME↗

arXiv2024

Comparison of sectoral structures between China and Japan: A network perspective

Economic structure comparisons between China and Japan have long captivated development economists. To delve deeper into their sectoral differences from 1995 to 2018, we used the annual input-output tables (IOTs) of both nations to construct weighted and directed input-output networks (IONs). This facilitated deeper network analyses. Strength distributions underscored variations in inter-sector economic interactions. Weighted, directed assortativity coefficients encapsulated the homophily among connecting sectors' features. By adjusting emphasis in PageRank centrality, key sectors were identified. Community detection revealed their clustering tendencies among the sectors. As anticipated, the analysis pinpointed manufacturing as China's central sector, while Japan favored services. Yet, at a finer level of the specific sectors, both nations exhibited varied structural evolutions. Contrastingly, sectoral communities in both China and Japan demonstrated commendable stability over the examined duration.

stat.AP↗

arXiv2021

Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables

A multi-regional input-output table (MRIOT) containing the transactions among the region-sectors in an economy defines a weighted and directed network. Using network analysis tools, we analyze the regional and sectoral structure of the Chinese economy and their temporal dynamics from 2007 to 2012 via the MRIOTs of China. Global analyses are done with network topology measures. Growth-driving province-sector clusters are identified with community detection methods. Influential province-sectors are ranked by weighted PageRank scores. The results revealed a few interesting and telling insights. The level of inter-province-sector activities increased with the rapid growth of the national economy, but not as fast as that of intra-province economic activities. Regional community structures were deeply associated with geographical factors. The community heterogeneity across the regions was high and the regional fragmentation increased during the study period. Quantified metrics assessing the relative importance of the province-sectors in the national economy echo the national and regional economic development policies to a certain extent.

physics.soc-ph↗