发帖
雷达卡
Probability for Statistics and Machine Learning
Front Matter Pages i-xix
Book Chapter Pages 1-93
Review of Univariate Probability
Book Chapter Pages 95-121
Multivariate Discrete Distributions
Book Chapter Pages 123-165
Multidimensional Densities
Book Chapter Pages 167-197
Advanced Distribution Theory
Book Chapter Pages 199-219
Multivariate Normal and Related Distributions
Book Chapter Pages 221-248
Finite Sample Theory of Order Statistics and Extremes
Book Chapter Pages 249-292
Essential Asymptotics and Applications
Book Chapter Pages 293-322
Characteristic Functions and Applications
Book Chapter Pages 323-338
Asymptotics of Extremes and Order Statistics
Book Chapter Pages 339-374
Markov Chains and Applications
Book Chapter Pages 375-400
Random Walks
Book Chapter Pages 401-436
Brownian Motion and Gaussian Processes
Book Chapter Pages 437-462
Poisson Processes and Applications
Book Chapter Pages 463-504
Discrete Time Martingales and Concentration Inequalities
Book Chapter Pages 505-526
Probability Metrics
Book Chapter Pages 527-558
Empirical Processes and VC Theory
Book Chapter Pages 559-582
Large Deviations
Book Chapter Pages 583-612
The Exponential Family and Statistical Applications
Book Chapter Pages 613-687
Simulation and Markov Chain Monte Carlo
Book Chapter Pages 689-746
Useful Tools for Statistics and Machine Learning
Back Matter
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