What is a disadvantage of resampling or bootsrapping?
Answer
These methods also have very limited ability to express degrees of certainty about characteristics of the data, whereas Bayesian methods put expression of uncertainty front and center
Tags
#bayes #programming #r #statistics
Question
What is a disadvantage of resampling or bootsrapping?
Answer
?
Tags
#bayes #programming #r #statistics
Question
What is a disadvantage of resampling or bootsrapping?
Answer
These methods also have very limited ability to express degrees of certainty about characteristics of the data, whereas Bayesian methods put expression of uncertainty front and center
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Open it o make inferences from data without using a model is a method from NHST called resampling or bootstrapping. These methods compute p values to make decisions, and p values have fundamental logical problems that will be discussed in Chapter 11. <span>These methods also have very limited ability to express degrees of certainty about characteristics of the data, whereas Bayesian methods put expression of uncertainty front and center<span><body><html>
Original toplevel document (pdf)
owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p33
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