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Larry Wasserman. UPMC Professor of Statistics and Data Science in the Department of Statistics and Data Science and in the Machine Learning Department Carnegie Mellon University, Pittsburgh, PA 15213, USA Office: Baker Hall 132 G Email: larry@stat.cmu.edu Phone: (412) 268-8727; Fax: (412) 268-7828.
- Machine Learning
Machine Learning Department at Carnegie Mellon University....
- Stat Ml Working Group
We are a group of faculty and students in Statistics and...
- All of Statistics
by Larry Wasserman . Get the book from Springer or Amazon ....
- Data
All of Nonparametric Statistics Data. Data sets used in the...
- Statistics & Data Science
Statistical Machine Learning. Topological & Functional Data...
- CMU Statistics
Larry Wasserman. I am a professor in the Department of...
- Chapter 12 BAYESIAN INFERENCE
Statistical Machine Learning, by Han Liu and Larry...
- All of Nonparametric Statistics
Chapter four to six cover basic smoothing methods. Chap-ters...
- Machine Learning
Larry Alan Wasserman (born 1959) is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.
Larry Wasserman. The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. Journal of the Royal Statistical Society Series B: Statistical Methodology …. JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ...
Larry Wasserman is a professor at Carnegie Mellon University, where he works on nonparametric inference, causality, and applications of statistics. He has written two textbooks and received several awards and honors for his research.
Course description. This course will cover the fundamentals of theoretical statistics. We will cover Chapters 1 -- 12 from the text plus some supplementary material. This course is excellent preparation for advanced work in statistics and machine learning. Textbook: Wasserman, L. (2004).
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