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Maximum Likelihood Estimation (MLE) Analysis for various Probability Distributions
A slecture by Hariharan Seshadri

(partially based on Prof. Mireille Boutin's ECE 662 lecture)

What would be the learning outcome from this slecture?

  • Basic Theory behind Maximum Likelihood Estimation (MLE)
  • Derivations for Maximum Likelihood Estimates for parameters of Exponential Distribution, Geometric Distribution, Binomial Distribution, Poisson Distribution, and Uniform Distribution

Introduction

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Alumni Liaison

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

Landis Huffman