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Measure Theory and Probability Theory

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  • 618 pages
  • 22 hours of reading

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This book is based on graduate courses in measure theory and advanced probability. It challenges the traditional focus on Lebesgue measure, aiming to broaden students' understanding of measure theory beyond the real line. The first chapter introduces measure and integration theory through practical applications, emphasizing natural approximation methods.

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Measure Theory and Probability Theory, Soumendra N. Lahiri, Krishna B. Athreya

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Released
2006
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(Hardcover)
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3.9
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6 Ratings

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