Assume I observe 3 data points x1, x2, and x3 drawn independently from an unknown distribution. Given a model M, I can calculate the likelihood for each data point as Pr(x1 | M) = 0.5, Pr(x2 | M) = 0.1, and Pr(x3 | M) = 0.2. What is the likelihood of seeing all of these data points, given the model M: Pr(x1, x2, x3 | M)?

Assume I observe 3 data points x1, x2, and x3 drawn independently from an unknown distribution. Given a model M, I can calculate the likelihood for each data point as Pr(x1 | M) = 0.5, Pr(x2 | M) = 0.1, and Pr(x3 | M) = 0.2. What is the likelihood of seeing all of these data points, given the model M: Pr(x1, x2, x3 | M)?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 31E

See similar textbooks