
معرفی
Alexandre Brouste is a Professor at Le Mans University in France, affiliated with the Institute of Risk and Insurance. He also serves as a Visiting Research Professor at The University of Texas at Dallas in the ICDRiA program. His academic career spans multiple institutions and research collaborations across France, Japan, and the United States.
Professor Brouste's research focuses on statistical inference, particularly in developing efficient estimation methods for complex statistical models. His primary areas of interest include asymptotic efficiency, fractional processes, time series analysis, and applications in finance and insurance. He has made significant contributions to the theory and practice of one-step estimation procedures, which provide computationally efficient alternatives to maximum likelihood estimation while maintaining asymptotic optimality.
His publications demonstrate a consistent focus on developing fast and asymptotically efficient estimation methods for various statistical models. Recent work includes applications to neural network training, generalized linear models for insurance pricing, autoregressive processes with fractional noise, and stable Lévy processes. His research bridges theoretical statistics with practical applications in finance, insurance, and renewable energy.
Professor Brouste leads the ANR EFFI 2022-2025 project focused on improving knowledge about asymptotic efficiency in statistical experiments and developing innovative estimation procedures for real-world applications. He has also developed several R packages including OneStep, Yuima, and FieldSim, which implement advanced statistical methodologies for researchers and practitioners.
He has supervised numerous doctoral students including Otmane El Allaki, Marie Badreau, Lilit Hovsepyan, Marius Soltane, and Chunhao Cai. His teaching includes statistics for actuarial science and finance at both Master's levels 1 and 2 at the Actuarial School.
His research has significant applications in insurance pricing, wind energy forecasting, ultrasonic measurements analysis for civil engineering structures, and financial modeling. He collaborates with industry partners including Covéa and Groupama on research initiatives related to insurance pricing and risk assessment.





