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Author

R. Nishii

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2 papers indexed here

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Preprint Aug 2026

Multivariate Spatio-Temporal Regression with Penalized Model Selection and an Empirical Application

This paper develops the statistical foundations of a multivariate general nesting spatio-temporal (MGNST) regression framework for analyzing spatial, temporal, and cross-equation dependence among responses. Four parameter matrices represent spatial lag dependence, spatial error dependence,temporal autoregression, and c...

R. Nishii, Saeko Ohta, Shojiro Tanaka · 0 citations
Open access Aug 2026

Multivariate Spatio-Temporal Modeling for Regional GIS Data: A Statistical Framework for Analyzing Multidimensional Spatial Interactions

An open-source, reproducible workflow for comparing multivariate spatio-temporal regression models that allow for cross-equation dependence against separate single-equation spatial regressions using interactive map-based diagnostics is presented.

Saeko Ohta, Shojiro Tanaka, R. Nishii · 1 citation

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