基本信息
浏览量:168
职业迁徙
个人简介
Roy E. Welsch is the Eastman Kodak Leaders for Global Operations Professor of Management and a Professor of Statistics and Data Science at the MIT Sloan School of Management and the MIT Center for Statistics and Data Science. He is the Director of the MIT Center for Computational Research in Economics and Management Science.
Welsch joined the MIT faculty in 1969 as an assistant professor, became an associate professor four years later, and was promoted to professor in 1979. He held the Leaders for Manufacturing (now Leaders for Global Operations) chair from 1988 until 1993. From 1973 until 1979, he was also a Senior Research Associate at the National Bureau of Economic Research, where he participated in the development of the Troll econometric, financial, and statistical modeling system. He was co-director or director of the MIT Statistics Center from 1981 until 1989.
Welsch is widely recognized for his book, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, (with Edwin Kuh and David Belsley) on regression diagnostics and for his work on robust estimation, multiple comparison procedures, nonlinear modeling, and statistical computing. He is currently involved with research on robust process control and experimental design, credit-scoring models and risk assessment, diagnostics for checking model and design assumptions, volatility modeling in financial markets, uncertainty quantification in plots and images, and repurposing existing drugs or combinations of drugs to prevent or delay Alzheimer's disease by creating synthetic clinical trials based on electronic health records. Welsch teaches Data Analysis and Applied Statistics, focusing on regression modeling, experimental design, and quality control with financial and marketing applications. He is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the American Association for the Advancement of Science.
Welsch joined the MIT faculty in 1969 as an assistant professor, became an associate professor four years later, and was promoted to professor in 1979. He held the Leaders for Manufacturing (now Leaders for Global Operations) chair from 1988 until 1993. From 1973 until 1979, he was also a Senior Research Associate at the National Bureau of Economic Research, where he participated in the development of the Troll econometric, financial, and statistical modeling system. He was co-director or director of the MIT Statistics Center from 1981 until 1989.
Welsch is widely recognized for his book, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, (with Edwin Kuh and David Belsley) on regression diagnostics and for his work on robust estimation, multiple comparison procedures, nonlinear modeling, and statistical computing. He is currently involved with research on robust process control and experimental design, credit-scoring models and risk assessment, diagnostics for checking model and design assumptions, volatility modeling in financial markets, uncertainty quantification in plots and images, and repurposing existing drugs or combinations of drugs to prevent or delay Alzheimer's disease by creating synthetic clinical trials based on electronic health records. Welsch teaches Data Analysis and Applied Statistics, focusing on regression modeling, experimental design, and quality control with financial and marketing applications. He is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the American Association for the Advancement of Science.
研究兴趣
论文共 112 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arXiv (Cornell University) (2023)
EDUCATION SCIENCESno. 2 (2023): 187
Global Communications Conferencepp.6438-6443, (2023)
Zach Shahn, Phoebe Spear, Helen Lu,Sharon Jiang, Suki Zhang, Neil Deshmukh,Shenbo Xu,Kenney Ng,Roy Welsch,Stan Finkelstein
IEEE Transactions on Artificial Intelligenceno. 5 (2022): 638-641
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn