Thisseries is devoted to the publication of monographs, lecture resp. seminar notes, and other materials arising from programs of the OSU Mathemaical Research I

This text is a rigorous introduction to ergodic theory, developing the machinery of conditional measures and expectations, mixing, and recurrence. Beginning by

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales,

Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It p

Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background