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**Maximum Likelihood Estimation (MLE)  
 
**Maximum Likelihood Estimation (MLE)  
 
***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa  
 
***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa  
***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri  
+
***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri
 +
***[[Video slecture: Introduction to Maximum likelihood estimate]] by Anantha Raghuraman 
 
***[[Expected Value and Deviation of Maximum LIkelihood Estimates over Multiple Trials]] by Spencer Carver  
 
***[[Expected Value and Deviation of Maximum LIkelihood Estimates over Multiple Trials]] by Spencer Carver  
 
***[[Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method|Text slecture in English]] by Lu Zhang  
 
***[[Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method|Text slecture in English]] by Lu Zhang  
***[[Introduction to Maximum likelihood estimate]] by Anantha Raghuraman
 
 
**Bayesian Estimation (BPE)  
 
**Bayesian Estimation (BPE)  
 
***[[Bayes_Parameter_Estimation|Text slecture in English]] by Haiguang Wen  
 
***[[Bayes_Parameter_Estimation|Text slecture in English]] by Haiguang Wen  

Revision as of 22:27, 29 April 2014



ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)


                Welcome to ECE662!

  • HW2 grades have been entered into the "instructor's Comment" box.
  • Reviews for HW2 are activated. Please complete your review before class on Tuesday April 29.
  • Does anybody in the class speak Spanish (besides Francis)? If so, please send me an email. -pm
  • Does anybody in the class speak Russian (besides Aziza)? If so, please send me an email. -pm

Course Information

Instructor:

Office: MSEE342
Office hours
Assignment Drop Box

Lecture:

  • When? TuTh, 10:30 - 11:45
  • Where? EE117 (subject to change)

Slectures

Please use this template for text slectures or this template for video slectures


Peer Reviews


Discussion

Feel free to use the space below for discussion, or create a page for discussion and link it below.


Back to main ECE662 page

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman