Sub-Model Aggregation for Scalable Eigenvector Spatial Filtering: Application to Spatially Varying Coefficient Modeling

Daisuke Murakami, Shonosuke Sugasawa, Hajime Seya, Daniel A. Griffith

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'Sub-Model Aggregation for Scalable Eigenvector Spatial Filtering: Application to Spatially Varying Coefficient Modeling'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Engineering

Economics, Econometrics and Finance