Related Research Articles
The School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania, US is a school for computer science established in 1988. It has been consistently ranked among the best computer science programs over the decades. As of 2024 U.S. News & World Report ranks the graduate program as tied for No. 1 with Massachusetts Institute of Technology, Stanford University and University of California, Berkeley.
The Mellon College of Science (MCS) is part of Carnegie Mellon University in Pittsburgh, Pennsylvania, US. The college is named for the Mellon family, founders of the Mellon Institute of Industrial Research, a predecessor of Carnegie Mellon University.
Stephen Elliott Fienberg was a professor emeritus in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the Annual Review of Statistics and Its Application and of the Journal of Privacy and Confidentiality.
Frank Pfenning is a German-American professor of computer science, adjunct professor in philosophy, and head of the Computer Science Department at Carnegie Mellon University.
Zoubin Ghahramani FRS is a British-Iranian researcher and Professor of Information Engineering at the University of Cambridge. He holds joint appointments at University College London and the Alan Turing Institute. and has been a Fellow of St John's College, Cambridge since 2009. He was Associate Research Professor at Carnegie Mellon University School of Computer Science from 2003–2012. He was also the Chief Scientist of Uber from 2016 until 2020. He joined Google Brain in 2020 as senior research director. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence.
Richard Michael Cyert was an American economist, statistician and organizational theorist, who served as the sixth President of Carnegie Mellon University in Pittsburgh, Pennsylvania, United States. He is known for his seminal 1959 work "A behavioral theory of the firm," co-authored with James G. March.
Morris Herman DeGroot was an American statistician.
Robyn Mason Dawes was an American psychologist who specialized in the field of human judgment. His research interests included human irrationality, human cooperation, intuitive expertise, and the United States AIDS policy. He applied linear models to human decision making, including models with equal weights, a method known as unit-weighted regression. He co-wrote an early textbook on mathematical psychology.
Clark N. Glymour is the Alumni University Professor Emeritus in the Department of Philosophy at Carnegie Mellon University. He is also a senior research scientist at the Florida Institute for Human and Machine Cognition.
Peter Boatwright is Allan D. Shocker Professor of Marketing and New Product Development at the Tepper School of Business and also Director of the Integrated Innovation Institute at Carnegie Mellon University. He is co-author of The Design of Things to Come: How Ordinary People Create Extraordinary Products and Built to Love – Creating Products that Captivate Customers, September 2010.
Larry Alan Wasserman is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.
Bani K. Mallick is a Distinguished Professor and Susan M. Arseven `75 Chair in Data Science and Computational Statistics in the Department of Statistics at Texas A&M University in College Station. He is the Director of the Center for Statistical Bioinformatics. Mallick is well known for his contribution to the theory and practice of Bayesian semiparametric methods and uncertainty quantification. Mallick is an elected fellow of American Association for the Advancement of Science, American Statistical Association, Institute of Mathematical Statistics, International Statistical Institute and the Royal Statistical Society. He received the Distinguished research award from Texas A&M University and the Young Researcher award from the International Indian Statistical Association.
John D. Lafferty is an American scientist, Professor at Yale University and leading researcher in machine learning. He is best known for proposing the Conditional Random Fields with Andrew McCallum and Fernando C.N. Pereira.
Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Jurimetrics is the application of quantitative methods, and often especially probability and statistics, to law. In the United States, the journal Jurimetrics is published by the American Bar Association and Arizona State University. The Journal of Empirical Legal Studies is another publication that emphasizes the statistical analysis of law.
Noel Andrew Cressie is an Australian and American statistician. He is Distinguished Professor and Director, Centre for Environmental Informatics, at the University of Wollongong in Wollongong, Australia.
Elizabeth H. Slate is an American statistician, interested in the Bayesian statistics of longitudinal data and applications to health. She is the Duncan McLean and Pearl Levine Fairweather Professor of Statistics at Florida State University. Some of Slate's most heavily cited work concerns the effects of selenium on cancer. Slate's research has also included work on the early detection of osteoarthritis.
Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, where she leads a project focused on discovering genes associated with autism.
Robert E. Kass is the Maurice Falk Professor of Statistics and Computational Neuroscience in the Department of Statistics and Data Science, the Machine Learning Department, and the Neuroscience Institute at Carnegie Mellon University.
Michael David Escobar is an American biostatistician who is known for Bayesian nonparametrics, mixture models.
References
- ↑ Chan, Ngai Hang (2001). Econometric Theory, vol. 17, pp. 633-668.
- ↑ Department of Statistics - Carnegie Mellon University
