Stochastic Processes 1
Muranga University Of Technology
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Class notes
Lecture notes Stochastic Processes 1 (AMS309)
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---38September 20252024/2025
- These notes provide a comprehensive and clearly structured summary of Stochastic Processes 1, ideal for undergraduate or graduate students studying mathematics, statistics, engineering, actuarial science, data science, or related fields. 
 
The document covers all major topics typically included in an introductory course, such as: 
 
Markov chains (discrete-time and continuous-time) 
 
Transition probabilities 
 
Poisson processes 
 
Birth-death processes 
 
Stationary and ergodic processes 
 
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