Measure theory and probability theory
Material type:
TextSeries: Springer texts in statistics (STS)Publication details: Springer, New York : ©2006Description: xviii, 618 p. : ill. ; 24 cmISBN: - 9781441921918
- 515.42 ATH-M
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | Course reserves |
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IIITD Reference | Mathematics | 515.42 ATH-M (Browse shelf(Opens below)) | Not for loan | 011797 |
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| 510.76 STA-C Conversational problem solving | 511.3 STI-R Reverse mathematics : | 512.7 BAK-C A comprehensive course in number theory | 515.42 ATH-M Measure theory and probability theory | 516.362 URA-S Spectral geometry of the Laplacian : | 519.2 LAW-I Introduction to stochastic processes | 519.2 RES-A Adventures in stochastic processes |
Chapter 1 Measures
Chapter 2 Integration
Chapter 3 Lp-Spaces
Chapter 4 Differentiation
Chapter 5 Product Measures, Convolutions, and Transform
Chapter 6 Probability Spaces
Chapter 7 Independence
Chapter 8 Laws of Large Numbers
Chapter 9 Convergence in Distribution
Chapter 10 Characteristic Functions
Chapter 11 Central Limit Theorems
Chapter 12 Conditional Expectation and Conditional Probability
Chapter 13 Discrete Parameter Martingales
Chapter 14 Markov Chains and MCMC
Chapter 15 Stochastic Processes
Chapter 16 Limit Theorems for Dependent Processes
Chapter 17 The Bootstrap
Chapter 18 Branching Processes
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