Tags
#bayes #programming #r #statistics
Question
The problem with using intervals, however, is that [...]. Therefore, what we will do is make the intervals infinitesimally narrow, and instead of talking about the infinitesimal probability mass of each infinitesimal interval, we will talk about the ratio of the probability mass to the interval width. That ratio is called the probability density.
their widths and edges are arbitrary, and wide intervals are not very precise

Tags
#bayes #programming #r #statistics
Question
The problem with using intervals, however, is that [...]. Therefore, what we will do is make the intervals infinitesimally narrow, and instead of talking about the infinitesimal probability mass of each infinitesimal interval, we will talk about the ratio of the probability mass to the interval width. That ratio is called the probability density.
?

Tags
#bayes #programming #r #statistics
Question
The problem with using intervals, however, is that [...]. Therefore, what we will do is make the intervals infinitesimally narrow, and instead of talking about the infinitesimal probability mass of each infinitesimal interval, we will talk about the ratio of the probability mass to the interval width. That ratio is called the probability density.
their widths and edges are arbitrary, and wide intervals are not very precise
If you want to change selection, open original toplevel document below and click on "Move attachment"

#### Parent (intermediate) annotation

Open it
The problem with using intervals, however, is that their widths and edges are arbitrary, and wide intervals are not very precise. Therefore, what we will do is make the intervals infinitesimally narrow, and instead of talking about the infinitesimal probability mass of each infinitesimal interval, we will talk ab

#### Original toplevel document (pdf)

owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p82

#### Summary

status measured difficulty not learned 37% [default] 0

No repetitions