Assume a data set D is observed by three models M₁, M2, and M3 which all follow a normal distribution with the variance 4. The differences between the models are in their means of the distri- bution which are 2, 4, and 8; respectively. Furthermore, assume that from prior knowledge we believe p(M₁) = 0.3, p(M₂) 0.4 and p(M3) = 0.3. Given a data point x = 3.1 which model has a higher accuracy (or probability to be correct)? =
Assume a data set D is observed by three models M₁, M2, and M3 which all follow a normal distribution with the variance 4. The differences between the models are in their means of the distri- bution which are 2, 4, and 8; respectively. Furthermore, assume that from prior knowledge we believe p(M₁) = 0.3, p(M₂) 0.4 and p(M3) = 0.3. Given a data point x = 3.1 which model has a higher accuracy (or probability to be correct)? =
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Assume a data set D is observed by three models M₁, M2, and M3
which all follow a normal distribution with the variance 4. The
differences between the models are in their means of the distri-
bution which are 2, 4, and 8; respectively. Furthermore, assume
that from prior knowledge we believe p(M₁) = 0.3, p(M₂) = 0.4
and p(M3) = 0.3. Given a data point x = 3.1 which model has a
higher accuracy (or probability to be correct)?
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