Biometrika

杂志介绍

Biometrika杂志介绍

《Biometrika》是一本以English为主的未开放获取国际优秀期刊，中文名称生物识别，本刊主要出版、报道数学-MATHEMATICAL & COMPUTATIONAL BIOLOGY领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为2.4，最新CiteScore 指数为5.5。

本刊近期中国学者发表的论文主要有：

• Linearized maximum rank correlation estimation

  Author: Shen, Guohao; Chen, Kani; Huang, Jian; Lin, Yuanyuan

• Response best-subset selector for multivariate regression with high-dimensional response variables

  Author: Hu, Jianhua; Huang, Jian; Liu, Xiaoqian; Liu, Xu

• Functional linear regression for discretely observed data: from ideal to reality

  Author: Zhou, Hang; Yao, Fang; Zhang, Huiming

• An instrumental variable method for point processes: generalized Wald estimation based on deconvolution

  Author: Jiang, Zhichao; Chen, Shizhe; Ding, Peng

英文介绍

Biometrika杂志英文介绍

Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications. From time to time, papers in bordering fields are also published.