Carbon Price Drivers: An Updated Literature Review. - Julien Chevallier (Int. J. Appl. Logist., 2013)

Microscopic approach of a time elapsed neural model. - Julien Chevallier; María J. Cáceres; Marie Doumic; Patricia Reynaud-Bouret (CoRR, 2015)

Self-scheduling of a power generating company: Carbon tax considerations. - Sidong Liu; Julien Chevallier; Bangzhu Zhu (Comput. Oper. Res., 2016)

Estimation of Lévy-driven Ornstein-Uhlenbeck processes: application to modeling of $$ hbox {CO}_2$$ CO 2 and fuel-switching. - Julien Chevallier; Stéphane Goutte (Ann. Oper. Res., 2017)

Uniform decomposition of probability measures: quantization, clustering and rate of convergence. - Julien Chevallier (J. Appl. Probab., 2018)

Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach. - Bangzhu Zhu; Shunxin Ye; Kaijian He; Julien Chevallier; Rui Xie 004 (Ann. Oper. Res., 2019)

Theoretical analysis and simulation methods for Hawkes processes and their diffusion approximation. - Julien Chevallier; Anna Melnykova; Irene Tubikanec (CoRR, 2020)

Local Gaussian correlations in financial and commodity markets. - Quynh Nga Nguyen; Sofiane Aboura; Julien Chevallier; Lyuyuan Zhang; Bangzhu Zhu (Eur. J. Oper. Res., 2020)

Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network. - Yinghao Chen; Hanyu Yu; Xiangyu Meng; Xiaoliang Xie; Muzhou Hou; Julien Chevallier (Digit. Signal Process., 2021)

A hybrid intelligent framework for forecasting short-term hourly wind speed based on machine learning. - Yelin Wang; Ping Yang; Shunyu Zhao; Julien Chevallier; Qingtai Xiao (Expert Syst. Appl., 2023)

New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. - Xiaoliang Xie; Bingqi Xie; Dan Xiong; Muzhou Hou; Jinxia Zuo; Guo Wei 004; Julien Chevallier (J. Ambient Intell. Humaniz. Comput., 2023)

Provincial energy and environmental efficiency analysis of Chinese transportation industry with the fixed-sum carbon emission constraint. - Feng Li 010; Shiqi Ye; Julien Chevallier; Jinyu Zhang; Gang Kou (Comput. Ind. Eng., 2023)

Correction to: New theoretical ISM‑K2 Bayesian network model for evaluating vaccination effectiveness. - Xiaoliang Xie; Bingqi Xie; Dan Xiong; Muzhou Hou; Jinxia Zuo; Guo Wei 004; Julien Chevallier (J. Ambient Intell. Humaniz. Comput., 2023)

Forecasting carbon market volatility with big data. - Bangzhu Zhu; Chunzhuo Wan; Ping Wang; Julien Chevallier (Ann. Oper. Res., 2025)