Reading-Group
The next book to be read in the Statistics Reading Group will be Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie. The book delivers a masterful synthesis of classical statistical inference and modern computational methods, tracing their evolution over the past 60 years. Insightful, rigorous, and historically grounded, it is an essential reading to understand the theoretical foundations and algorithmic developments shaping today’s data science.
In the next session of the Statistics Reading Group we will conclude the final (!) Chapter 20, Useful Tools for Statistics and Machine Learning.
In the next session of the Statistics Reading Group we will start the final (!) Chapter 20, Useful Tools for Statistics and Machine Learning.
In the next session of the Statistics Reading Group we will conclude Chapter 19, Simulation and Markov Chain Monte Carlo.
In the next session of the Statistics Reading Group we will start Chapter 19, Simulation and Markov Chain Monte Carlo.
In the next session of the Statistics Reading Group we will finish Chapter 18, The Exponential Family and Statistical Applications.
In the next session of the Statistics Reading Group we will finish Chapter 17, Large Deviations and start Chapter 18, The Exponential Family and Statistical Applications.
In the next session of the Statistics Reading Group we will finish Chapter 16, Empirical Processes and VC Theory and start Chapter 17, Large Deviations.