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Master Probability: Lecture Notes – Quizzes & Solutions
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EXCLUSIVE EDITION (only on ayoubb.col): Lecture Notes, Quizzes with Solutions from TOP MIT lecturers.
Complete guide: Probabilistic models and axioms, Conditioning and Bayes rule, Counting, Discrete Random Variables, Continuous Random Variables, Further Topics on Random Variables, Bayesian inference, Limit theorems, and classical statistics, Bernoulli and Poisson processes.
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Description
Lectures notes, quizzes, exams, and solutions from TOP MIT lecturers
- Advanced Probability topics (Graduate Level)
- Summaries and Quizzes with solutions
- Exercises and Problems with short solutions
- Mid-term exams with solutions
Content
- Chapter I – Probabilistic models and axioms
- Chapter II – Conditioning and Bayes_ rule
- Chapter III – Counting
- Chapter IV – Discrete Random Variables
- Chapter V – Continuous Random Variables
- Chapter VI – Further Topics on Random Variables
- Chapter VII Bayesian inference
- Chapter VIII – Limit theorems and classical statistics
- Chapter IX – Bernoulli and Poisson processes
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A complete reference for students, engineers, and scientists who wish to master Probability and apply it efficiently in real-world problems