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Spring 2006 CS 649 1 Sensor Networks
 

Summary: Spring 2006 CS 649 1
CS649
Sensor Networks
IP Track Lecture 1: Basic Probability and Statistics
I-Jeng Wang
http://hinrg.cs.jhu.edu/wsn06/
Outline
Spring 2006 CS 649 2
Why probability and statistics?
Basic notation and concepts
Estimation techniques
Maximum likelihood estimates
Bayes estimates
Hypothesis testing and detection theory
Why Probability and Statistics for Information
Processing in Sensor Networks?
Spring 2006 CS 649 3
Significant uncertainties in sensor networks
Environment uncertainty (physical environment,
unpredictable events, etc.)

  

Source: Amir, Yair - Department of Computer Science, Johns Hopkins University

 

Collections: Computer Technologies and Information Sciences