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Probabilistic machine learning : advanced topics

Tác giả: Kevin P. Murphy

An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement ...

Time series analysis and its applications : with R examples : 4th ed.

Tác giả: Robert H. Shumway, David S. Stoffer

1. Characteristics of time series; 2. Time series regression and exploratory data Analysis ARIMA models; 3. Spectral analysis and filtering; 4. Additional time domain topics; 5. State space models; 6. Statistical methods in the frequency domain.

Structural aspects in the theory of probability : 2nd Enlarged ed.

Tác giả: Herbert Heyer, Gyula Pap

The book is conceived as a text accompanying the traditional graduate courses on probability theory. An important feature of this enlarged version is the emphasis on algebraic-topological aspects leading to a wider and deeper understanding of basic theorems such as those on the structure of ...