Suchergebnisse - "ridesourcing platform"

Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing

Autoren: Li, Ting Shi, Chengchun Lu, Zhaohua et al.

Quelle: Journal of the American Statistical Association. 119:1736-1750

Schlagwörter: quantile treatment effect, spatialtemporal experiments, FOS: Computer and information sciences, Computer Science - Machine Learning, ridesourcing platform, 05 social sciences, Machine Learning (stat.ML), CCF-DiDi GAIA Collaborative Research Funds for Young Scholars and Program for Innovative Research Team of Shanghai University of Finance and Economics, policy evaluation, 01 natural sciences, Machine Learning (cs.LG), Methodology (stat.ME), varying coefficient models, EP/W014971/1, Statistics - Machine Learning, 0502 economics and business, 0101 mathematics, Li's research is partially supported by the Nation12101388, Statistics - Methodology, A/B testing

Zugangs-URL: http://arxiv.org/abs/2305.10187
http://eprints.lse.ac.uk/122488/