Probability, Random Processes, and Statistical AnalysisTogether with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum likelihood estimation and the expectation maximization (EM) algorithm, geometric Brownian motion and It process.