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Author Question: What would be the mean square error (MSE) in this case? a. 0.59 b. 0.01 c. 1.26 d. ... (Read 37 times)

lbcchick

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on: Jun 24, 2018
What would be the mean square error (MSE) in this case?
 a. 0.59
  b. 0.01
  c. 1.26
  d. 545

Question 2

What is the most important difference between Bayesian and non-Bayesian decision criteria?


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aruss1303

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Reply #1 on: Jun 24, 2018
Answer to Question 1

B

Answer to Question 2

Non-Bayesian decision criteria ignore the probabilities for the respective states of nature, while Bayesian decision criteria take them into account.


lbcchick

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Reply 2 on: Jun 24, 2018
:D TYSM

miss_1456@hotmail.com

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Reply 3 on: Yesterday
Wow, this really help

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