Explain PRIOR DISTRIBUTION: “In Bayesian inference, we assume that the unknown quantity to be estimated has many plausible values modeled by what's called a prior distribution. Bayesian inference is then using data (that is considered as unchanging) to build a tighter posterior distribution for the unknown quantity.”[zumel] See also Bayes' Theorem.
Different definitions in web development like prior distribution in Dictionary P.
- Manual PageRank:
- Meaning determines the importance of something, typically to rank it in a list of search results. “PageRank works by counting the number and quality of links to a page to determine a rough estimate of how prior distribution.
- Manual Poisson Distribution:
- Meaning independent events, usually over a period of time or space, used to help predict the probability of an event. Like the binomial distribution, this is a discrete distribution. Named for early 19th prior distribution.
- Manual Perl:
- Meaning An older scripting language with roots in pre-Linux UNIX systems. Perl has always been popular for text processing, especially data cleanup and enhancement tasks. See also scripting, data wrangling prior distribution.
- Manual Pivot Table:
- Meaning quickly summarize long lists of data, without requiring you to write a single formula or copy a single cell. But the most notable feature of pivot tables is that you can arrange them dynamically. Say prior distribution.
- Manual Python:
- Meaning language available since 1994 that is popular with people doing data science. Python is noted for ease of use among beginners and great power when used by advanced users, especially when taking prior distribution.
