Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Description:
Discrete and continuous random variables and vectors. Important probability models. Inequalities and limit laws. Sampling distributions and functions of random vectors. Statistical inference.
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Description:
Probability models, random variables and vectors. Special distributions including exponential family. Expected values, covariance matrices, moment generating functions. Convergence in probability and distribution. Weak Law of Large Numbers and Lyapunov Central Limit Theorem.