Posted on 23/09/202423/09/2024 by Best Paper Award 55 / 100 Powered by Rank Math SEO Dr. Bingqi Liu | Quantile regression | Young Scientist Award Bingqi Liu at Zhejiang University, China Summary: Dr. Bingqi Liu is a doctoral candidate at Zhejiang University, specializing in mathematical sciences. With a solid foundation in mathematics and pharmacy, he has received multiple awards for academic excellence and contributions to student organizations. His research spans medicine and finance, demonstrating a keen interest in applying quantitative methods to real-world problems. Dr. Liu actively engages in social work, promoting entrepreneurship and cultural initiatives within the university community. Professional Profile: Scopus ProfileĀ Google Scholar Profile š©āšEducation: Ph.D. in Mathematical Sciences Zhejiang University, Hangzhou, Zhejiang Expected Graduation: June 2025 B.S. in Mathematics Shandong University, Jinan, Shandong GPA: 4.3/5.0 (Top 15% in Major) September 2016 ā June 2020 š¢ Professional Experience: Dr. Liu is currently an intern at Hua Chuang Securities, where he contributes to industry research and analysis. Previously, he interned in the Financial Derivatives Department at Cai Tong Securities, assisting in the design of OTC derivatives products and creating a product profile database.Ā Research Interests: Dr. Liuās research interests encompass mathematical modeling, finance, and statistics. He has published works in notable journals, focusing on statistical methods for analyzing complex data and finance-related models. Top Noted Publication: Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace Authors: J. Qian, J. Liao, Z. Liu, Y. Chi, Y. Fang, Y. Zheng, X. Shao, B. Liu, Y. Cui, W. Guo, … Journal: Nature Communications Volume: 14 Issue: 1 Article Number: 2484 Year: 2023 Citations: 21 Weighted Composite Quantile Inference for Nearly Nonstationary Autoregressive Models Authors: B. Liu, T. Pang Journal: Statistical Methods & Applications Pages: 1-43 Year: 2024 Estimation for Generalized Linear Cointegration Regression Models through Composite Quantile Regression Approach Authors: B. Liu, T. Pang, S. Cheng Journal: Finance Research Letters Volume: 65 Article Number: 105567 Year: 2024 Bingqi Liu | Quantile regression | Young Scientist Award