Stats for Engineers: Lecture 3. Conditional probability Suppose there are three cards: A red card that is red on both sides, A white card that is white.
1 Lecture 7. Distributions. Probability density and cumulative distribution functions. Poisson and Normal distributions.
Probability. Uncertainty Let action A t = leave for airport t minutes before flight –Will A t get me there on time? Problems: Partial observability (road.
4.1 Probability Distributions Statistics Mrs. Spitz Fall 2010.
DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS Introduction to Business Statistics QM 120 Chapter 5 Discrete random variables and their probability.
Your 4 th homework is assigned. It is due on 12 th of Feb, 11:59 pm.
5.1 - 1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Chapter 5 Probability Distributions 5-1 Review and Preview 5-2 Random.
IP, IST, José Bioucas, 2007 1 Probability The mathematical language to quantify uncertainty Observation mechanism: Priors: Parameters Role in inverse.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 16 Random Variables.
Information Theoretic Co Clustering
Quality Management
2013-1 Machine Learning Lecture 03 - Andrew Moore - a gentle introduction …
