Stochastic and Random Processes Book












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I'm looking for a textbook on stochastic and random process. Ideally, I'm looking for a textbook with the following virtues:




  1. The textbook should include an overview of basic probability, especially convergence theorems. Some textbooks, for example Ross' Introduction to Probability Models and Grimmett and Strizaker's Probability and Random Processes spend the first 200 pages discussing probability theory. Inevitably, the discussion of topics on stochastic and random processes then builds on these chapters, so one really has to go through all these chapters in some detail.


  2. The textbook should have problems, but it shouldn't have an encyclopedia of problems that may take a lot of time to work through. Both the aforementioned textbooks suffer from this problem, for example.


  3. I wouldn't mind if the textbook has mesasure theory details, but I'd like the textbook to focus on the intuition, and motivation. For measure theory details, I'll just go to a measure theoretic-probability book.


  4. The textbook should include random walks, braanching processes, discrete-time Markov Chains, Martingales, at least.











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    I'm looking for a textbook on stochastic and random process. Ideally, I'm looking for a textbook with the following virtues:




    1. The textbook should include an overview of basic probability, especially convergence theorems. Some textbooks, for example Ross' Introduction to Probability Models and Grimmett and Strizaker's Probability and Random Processes spend the first 200 pages discussing probability theory. Inevitably, the discussion of topics on stochastic and random processes then builds on these chapters, so one really has to go through all these chapters in some detail.


    2. The textbook should have problems, but it shouldn't have an encyclopedia of problems that may take a lot of time to work through. Both the aforementioned textbooks suffer from this problem, for example.


    3. I wouldn't mind if the textbook has mesasure theory details, but I'd like the textbook to focus on the intuition, and motivation. For measure theory details, I'll just go to a measure theoretic-probability book.


    4. The textbook should include random walks, braanching processes, discrete-time Markov Chains, Martingales, at least.











    share|cite|improve this question

























      0












      0








      0







      I'm looking for a textbook on stochastic and random process. Ideally, I'm looking for a textbook with the following virtues:




      1. The textbook should include an overview of basic probability, especially convergence theorems. Some textbooks, for example Ross' Introduction to Probability Models and Grimmett and Strizaker's Probability and Random Processes spend the first 200 pages discussing probability theory. Inevitably, the discussion of topics on stochastic and random processes then builds on these chapters, so one really has to go through all these chapters in some detail.


      2. The textbook should have problems, but it shouldn't have an encyclopedia of problems that may take a lot of time to work through. Both the aforementioned textbooks suffer from this problem, for example.


      3. I wouldn't mind if the textbook has mesasure theory details, but I'd like the textbook to focus on the intuition, and motivation. For measure theory details, I'll just go to a measure theoretic-probability book.


      4. The textbook should include random walks, braanching processes, discrete-time Markov Chains, Martingales, at least.











      share|cite|improve this question













      I'm looking for a textbook on stochastic and random process. Ideally, I'm looking for a textbook with the following virtues:




      1. The textbook should include an overview of basic probability, especially convergence theorems. Some textbooks, for example Ross' Introduction to Probability Models and Grimmett and Strizaker's Probability and Random Processes spend the first 200 pages discussing probability theory. Inevitably, the discussion of topics on stochastic and random processes then builds on these chapters, so one really has to go through all these chapters in some detail.


      2. The textbook should have problems, but it shouldn't have an encyclopedia of problems that may take a lot of time to work through. Both the aforementioned textbooks suffer from this problem, for example.


      3. I wouldn't mind if the textbook has mesasure theory details, but I'd like the textbook to focus on the intuition, and motivation. For measure theory details, I'll just go to a measure theoretic-probability book.


      4. The textbook should include random walks, braanching processes, discrete-time Markov Chains, Martingales, at least.








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      asked Nov 30 at 0:46









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