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BSTVC Desktop in Practice: Six Cases Across Space and Time
A graphical Bayesian workflow for exploring local associations, global contribution, and model performance.
2026-10-18 · EnglishpageBSTVC：Bayesian Spatiotemporally Varying Coefficients
Understand where relationships change. See how they evolve. A Bayesian framework for local interpretation, global contribution and dynamic prediction.
Undated · EnglishnewsChao Song reaches 1,000 Google Scholar citations
Chao Song’s Google Scholar profile has passed 1,000 citations. A check on 6 October 2026 showed 1,003 citations, an h-index of 15 and an i10-index of 23.
2026-10-06 · EnglishnewsBSTVC launches its official website for spatiotemporal interpretability
A new public home connects BSTVC methods, research applications, and software with an English Desktop guide and documented cases for continuous, binary, and count outcomes.
2026-10-05 · EnglishpageAbout Me
Academic experience, research interests, professional links, collaborators, and curriculum vitae.
Undated · EnglishpagePublications
New work, theoretical contributions, applied studies, and the complete public research archive.
Undated · EnglishpageBlogs
Long-form research notes, science communication, and bilingual journal entries.
Undated · EnglishresourceChina's first complete socioeconomic official statistics dataset (county-level, 2002-2011)
A complete 10-year county-level dataset covering 20 official socioeconomic variables across China, reconstructed with progressive spatiotemporal Bayesian hierarchical modeling.
Undated · EnglishjournalBSTVC: Bayesian Spatiotemporal Interpretable Analysis
BSTVC: Interpreting Spatiotemporal Heterogeneity, Identifying Key Drivers, and Making Dynamic Predictions
2026-08-29 · EnglishpageData & Resources
Datasets, research figures, software links, reproducible resources, and teaching materials.
Undated · EnglishpageResearch
GIScience, spatiotemporal statistics, Bayesian modeling, environmental health, spatial epidemiology, and public health.
Undated · EnglishpageUnderstanding health in space and time.
I develop Bayesian spatiotemporal models and open-source software to understand the distribution and dynamics of health outcomes across space and time.
2026-08-10 · 中文