What's a good resource for teaching myself Markov chains?

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SUMMARY

This discussion centers on resources for learning Markov chains, particularly in the context of signal processing for EEG research. Participants recommend "Introduction to Stochastic Processes" by Lawler, which requires a background in probability theory, and "Introduction to Probability Models" by Sheldon Ross, noted for its practical examples of applied probability, including Markov chains. Both texts serve as foundational materials for understanding the application of Markov chains in signal processing.

PREREQUISITES
  • Basic knowledge of probability theory
  • Familiarity with stochastic processes
  • Understanding of signal processing concepts
  • Access to academic resources, such as university libraries
NEXT STEPS
  • Read "Introduction to Stochastic Processes" by Lawler
  • Study "Introduction to Probability Models" by Sheldon Ross
  • Explore online courses on Markov chains and their applications
  • Research EEG signal processing techniques
USEFUL FOR

Students and researchers in fields such as neuroscience, data science, and applied mathematics who are looking to understand Markov chains and their applications in signal processing.

DeuteriumDude
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Hi all,

Over the summer, I am going to be doing some research with EEG. My professor suggested I could do some signal processing of the data using markov chains. I'm not familiar with markov chains, but I think the prof intends to teach me himself. I'd still like to get some background from external sources. Anyone recommend any books or websites?

Thanks
 
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I take it that you don't know measure theory?? In that case, I would suggest "Introduction to stochastic processes" by Lawler. It does presuppose a knowledge of probability theory, though...
 
DeuteriumDude said:
Hi all,

Over the summer, I am going to be doing some research with EEG. My professor suggested I could do some signal processing of the data using markov chains. I'm not familiar with markov chains, but I think the prof intends to teach me himself. I'd still like to get some background from external sources. Anyone recommend any books or websites?

Thanks

You might like "Introduction to Probability Models" by Sheldon Ross. I've got the 9th edition (which is a little old), but it has a lot of examples of applied probability (including markov chains). If you're at a university, you might be able to pick up a copy at the uni library.
 

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