Looking for text on stochastic processes

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SUMMARY

The discussion focuses on finding introductory texts for stochastic processes, specifically mentioning the Poisson process, Markov chains, renewal theory, queuing models, and reliability. Recommended resources include "Stochastic Processes in Physics and Chemistry" by van Kampen and Feller's two-volume set on probability. The user expresses a desire to build a background in measure theory to facilitate understanding of stochastic calculus, highlighting its importance for future studies. The conversation emphasizes the need for a solid mathematical foundation, particularly for those leaning towards mathematics and economics.

PREREQUISITES
  • Understanding of stochastic processes, including Poisson processes and Markov chains.
  • Familiarity with basic probability theory and its applications.
  • Knowledge of measure theory as a prerequisite for stochastic calculus.
  • Basic concepts in queuing theory and reliability models.
NEXT STEPS
  • Research "measure theory" to establish a foundational understanding for stochastic calculus.
  • Explore "Feller's Introduction to Probability" for comprehensive insights into probability theory.
  • Study "Stochastic Processes in Physics and Chemistry" by van Kampen for practical applications of stochastic processes.
  • Investigate queuing theory and its relevance in mathematics and economics.
USEFUL FOR

Mathematicians, economists, finance professionals, and students seeking to understand stochastic processes and their applications in various fields.

Gridvvk
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An introductory text is preferable. Topics relevant (not a deal-breaker if not covered): Poisson process, Markov chains, renewal theory, models for queuing, and reliability.

Also, in the future I'd like to dabble in stochastic calculus, but my background in measure theory is non-existent. I've heard measure theory is a necessity for stochastic calc., so what are some good sources to build a relevant background in measure theory needed for stochastic calc.?

Thanks for any feedback.

Edit: After posting this I've realized there is a section solely for learning materials. Mod. please move if post is in wrong section.
 
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What field are you more inclined to? Science or mathematics/economy?

For science, the book

van Kampen, Stochastic Processes in Physics and Chemistry, Third Edition (North-Holland Personal Library)

https://www.amazon.com/dp/0444529659/?tag=pfamazon01-20

might be useful to you. More a collection of methods and problems than an introductory textbook, but has some interesting insights scattered throughout the text.
 
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Thanks for the suggestion! The field I'll probably be working with is more-so mathematics/economics (finance) than actual science.

The same methods probably apply in a non-scientific setting. Would general chemistry and standard physics I & II sequence be enough background for the scientific principles in the book? I don't mind the science, but if I have to go out of my way to learn it in order to understand the math, then it might be a distraction.
 
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Gridvvk said:
Thanks for the suggestion! The field I'll probably be working with is more-so mathematics/economics (finance) than actual science.

The same methods probably apply in a non-scientific setting. Would general chemistry and standard physics I & II sequence be enough background for the scientific principles in the book? I don't mind the science, but if I have to go out of my way to learn it in order to understand the math, then it might be a distraction.

Then I think you better try some closer to mathematics textbook as a main text, and peek into van Kampen/others just to get broader view of things and applications.
 
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R136a1 said:
What about Feller's excellent two volume set on probability? https://www.amazon.com/dp/0471257087/?tag=pfamazon01-20
Especially the second volume seems to have some good stuff. There might also be an introduction to measure theory in the book.

Thanks volume 1 is pretty comprehensive and meets my needs. Volume 2 talks about measures.
 
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