Transition matrices and Markov chains
We cover transition matrix construction, k-step state distribution calculations, regular Markov chain identification, and steady state solving for real-world stochastic modelling.
📖Study Guide
In-depth bilingual notes with worked past paper examples.
✍️Practice Exam
Timed practice questions with mark scheme grading. Coming soon.
🎴Flashcards
Spaced repetition for key concepts and definitions. Coming soon.
📊Visualizer Coming Soon
Interactive plots and diagrams to build intuition. Coming soon.
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