Bayesian statistics Flashcards
1
Q
What are bayesian statistics and what are the variables?
A
A systematic way of combining prior information and data is by Bayesian statistic.
2
Q
What is a density kernel?
A
3
Q
How do we express prior information in bayesian statistics?
A
The prior information is expressed by a (subjective) distribution called the prior distribution (or apriori distribution) for the relevant parameter(s) θ:
p(θ)
4
Q
How do we express data in bayesian statistics?
A
Generally, observed data are assumed to follow a distribution/density:
f (x|θ)
5
Q
How do we find posterior distribution? (one observation)
A
6
Q
How do we find posterior distribution? (several observations)
A
7
Q
How do we find point estimate and bayesian interval?
A
8
Q
What are the different prior distributions?
A
