This is question.-Show that if the prior probability л of a hypothesis is close to unity, thenthe posterior probability po satisfies 1 – po = (1 - ¹)B-¹ and more exactly1 - Pо = (1 - ¹)B−¹ + (1 − л₁)²(B−¹ – B−²).The answer I got is. Can you please interpret the answer?-11. 1 − (1 – Po) = Po = [1 + (1 − ño)ñõ¹B−¹]¯¹ = 1 − (1 — ño)πō¹B−¹ + (1 −TO)²²B-². Result then follows on noting ñ¯¯¹ = {1 − (1 − ño)}¯¹ ≈1+(1−ño).

Bayes' theorem states that the posterior probability p_0 of a hypothesis given the observed data D…

Answered: Show that if the prior probability лo…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Show that if the prior probability лo of a hypothesis is close to unity, then the posterior probability po satisfies 1 – po = (1 - л)B-¹ and more exactly 1- Po=(1-₁)В−¹ + (1 − ¹)²(B−¹ – B-²).