{"product_id":"a-basic-course-in-measure-and-probability-theory-for-applications-9781107652521","title":"A Basic Course in Measure and Probability Theory For Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Acknowledgements; 1. Point sets and certain classes of sets; 2. Measures: general properties and extension; 3. Measurable functions and transformations; 4. The integral; 5. Absolute continuity and related topics; 6. Convergence of measurable functions, Lp-spaces; 7. Product spaces; 8. Integrating complex functions, Fourier theory and related topics; 9. Foundations of probability; 10. Independence; 11. Convergence and related topics; 12. Characteristic functions and central limit theorems; 13. Conditioning; 14. Martingales; 15. Basic structure of stochastic processes; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":53186740093271,"sku":"9781107652521","price":41.79,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/a-basic-course-in-measure-and-probability-theory-for-applications-9781107652521","provider":"Book Curl","version":"1.0","type":"link"}