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Mathematical Statistics (2024): Lecture 22
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Maximum Likelihood Estimation!
In this video:
🔹 Intro to MLEs 10:01
🔹 Formal Notation and Definitions 21:03
🔹 Bernoulli Example 29:30
🔹 Exponential Example 38:53
🔹 Geometric Example 44:46
🔹 Two-Parameter Example (Normal Distribution) 49:24
🔹 Parameter in Indicator Example (Uniform Distribution) 1:00:35
New videos release every Tuesday and Thursday!
----------------------------------------------------------------------------------------------------------------------------------------------
Thanks for watching! Consider checking out my MathStat textbook!
Also, if you are interested in data science, check out my courses on Coursera!
In this video:
🔹 Intro to MLEs 10:01
🔹 Formal Notation and Definitions 21:03
🔹 Bernoulli Example 29:30
🔹 Exponential Example 38:53
🔹 Geometric Example 44:46
🔹 Two-Parameter Example (Normal Distribution) 49:24
🔹 Parameter in Indicator Example (Uniform Distribution) 1:00:35
New videos release every Tuesday and Thursday!
----------------------------------------------------------------------------------------------------------------------------------------------
Thanks for watching! Consider checking out my MathStat textbook!
Also, if you are interested in data science, check out my courses on Coursera!