On Distribution-Free Risk Control
Michael Jordan, Professor Emeritus, University of California, Berkeley
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B9 L4 R4225
Lecture
Apr 21 - Apr 27, 2024
An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare
Michael Jordan, Professor Emeritus, University of California, Berkeley
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Auditorium between B2 and 3
May 7 - May 13, 2023
New Graphical Displays for Classification
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
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B9 L2 H2
Detecting Cellwise Outliers in Your Data
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
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B9 L2 H2
Nov 27 - Dec 3, 2022
Apr 24 - Apr 30, 2022
Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
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B1 L4 R4102
Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2
Prof. Raquel Prado, Department of Statistics, University of California
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B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
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B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
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B1 L4 R4102
Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2
Yi Li, Professor, Biostatistics, University of Michigan
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B1 L4 R4102
Apr 17 - Apr 23, 2022
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
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B1 L4 R4102
