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Topic Title: Probability Theory from Measure Theory
Created On Sun Nov 03, 02 09:59 PM
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PinballWizard
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Sun Nov 03, 02 09:59 PM
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Recently someone asked about good introductory books on Probability theory and mentioned Sheldon Ross's books. Coming from a science & engineering background I found that the 'applied' probability theory I had picked-up didn't help me a whole lot when it comes to the theory of stochastic processes. The following books helped me 're-learn' probability theory on the basis of measure theory:

1. Probability Models by John Haigh. 2002. Springer Undergraduate Mathematics Series (SUMS).
This book is at the same level as Sheldon Ross's book but spends more time on derivations and stochastic processes.

2. Measure, Integral and Probability by Marek Capinski and Ekkehard Kopp, 1998. Springer Undergraduate Mathematics Series (SUMS).
I havn't found a more approachable intro to Measure theory and the link to Probability.

3. A First Look at Rigorous Probability Theory by Jeffrey S. Rosenthal, 2000. World Scientific.
A great and very compact overview. I find it great as a guide to the terminology and as a road-map, with links to standard texts. I think it is used for the Univ. of Toronto's Fin. Eng. program (Author is at U of T.).

B.
 
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J
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Tue Nov 05, 02 11:02 PM
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Pinballwizard,
I've done the second you put on the list. It is a good book. Do you know which schools use it as a required textbook?


Edited: Thu Nov 14, 02 at 06:24 PM by J
 
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J
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Wed Nov 06, 02 04:53 AM
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Is any other folks using MPI (measure, integral and probability) by Capinski and Kopp? We could use this chance to discuss exercises in this book.
 
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PinballWizard
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Mon Nov 11, 02 04:18 PM
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J,

Marek Capinski has also written 'Probability through Problems' which is an ideal companion to the book mentioned above - it's great for self-study and is at about the same level.

Here's the link for more info: Amazon.ca

PW
 
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J
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Wed Nov 13, 02 04:55 AM
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PinballWizard,
Are you working in Bay street? "Probability through problems" is the required textbook in Math Finance program at U of Waterloo. This book is fundamental, but with a bit of mistakes on proving theorem.
Be careful with the typos in "measure, integral and probabilty". So far, my favorite is Durret's book.
 
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PinballWizard
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Thu Nov 14, 02 05:50 PM
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Yonge Street actually
 
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J
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Fri Nov 15, 02 03:01 AM
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PinballWizard,
Could you give comments about looking for internships in Canadian Banking for financial modelling jobs?
Is this year tougher than the last year? You could reply me by sending private message if you like.
BTW, "Probabiltiy through problems" gives wrong proof for "if x1,...xn are independent r.v., their join distribution function is equal to the product of individual distribution fuction"

cheers,
 
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Author
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Sat Apr 19, 03 11:13 AM
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From the authors:

Thank you for mentioning our "Probablility Through Problems" book. However, we are mystified by the reference to the wrong proof for "if x1,...xn are independent r.v., their join distribution function is equal to the product of individual distribution function." This is a vacuous claim because:
- There is no such proof in our book, and no such statement (though perhaps it should have been included).
- The notion of joint distribution function does not feature in the book either.

By the way, even though this particular "wrong proof" is not there, a few other mistakes have unfortunately found their way into print. An up to date list of corrections can be found at www.hull.ac.uk/php/mastz/ptp/

Happy reading and problem solving!
 
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WilmottBookshop
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Thu Apr 24, 03 11:41 AM
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Hi

'Probability through Problems' is available in the Wilmott Bookshop:

Probability through Problems'

Philip
 
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brianjd
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Fri Aug 21, 09 08:06 PM
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Can anyone pm me solutions or point out a course site with selected solutions to Rosenthal's book? I'm trying to self-teach measure theory. I have the Capinski book and, fortunately, there are solutions in his book. Rosenthal's is a wonderful book with many great exercises but, unfortunately, there are no exercise solutions. This drives me crazy!
 
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