Probability and Measure
by Patrick Billingsley · Patrick Billingsley
Standard graduate text developing probability theory on measure-theoretic foundations, alternating probability and measure chapters. It covers laws of large numbers, integration, convergence of distributions, the central limit theorem, conditional expectation, martingales, and Brownian motion, with many exercises.
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