ML-QuantSubscribe

RePEcML & AI Methods

Independent Directors

The research uses micro-scale job-household data and machine learning to analyze spatiotemporal patterns in Tokyo, highlighting urbanization and suburbanization trends.

Featured in No. 39 on 6 Mar 2024 ·

Released
12 May 2023
First featured
No. 39 · 6 Mar 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
7
Identifier
RePEc:spr:jahrfr:v:43:y:2023:i:3:d:10.1007_s10037-023-00198-1

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page