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2. ArviZ - Wikipedia

   en.wikipedia.org/wiki/ArviZ

   ArviZ also provides a common data structure for manipulating and storing data commonly arising in Bayesian analysis, like posterior samples or observed data. ArviZ is an open source project, developed by the community and is an affiliated project of NumFOCUS .

3. John K. Kruschke - Wikipedia

   en.wikipedia.org/wiki/John_K._Kruschke

   Kruschke's popular textbook, Doing Bayesian Data Analysis, [2] was notable for its accessibility and unique scaffolding of concepts. The first half of the book used the simplest type of data (i.e., dichotomous values) for presenting all the fundamental concepts of Bayesian analysis, including generalized Bayesian power analysis and sample-size planning.

4. Bayesian linear regression - Wikipedia

   en.wikipedia.org/wiki/Bayesian_linear_regression

   Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables, with the goal of obtaining the posterior probability of the regression coefficients (as well as other parameters describing the distribution of the regressand) and ultimately allowing the out-of-sample prediction of the regressand (often ...

5. Everything to know: Florida Python Challenge, the snake hunt ...

   www.aol.com/everything-know-florida-python...

   It'sss time! The 2024 Florida Python Challenge is now underway. The annual competition aims to rid the Everglades of the Burmese python, an invasive species that poses a threat to the ecosystem ...

6. 500 pounds of python caught when mating rituals revealed in ...

   www.aol.com/news/500-pounds-python-caught-mating...

   The swamps of southern Florida are home to all manner of intimidating apex predators, but it was a new experience when a team of trackers found a 7-foot-wide mound of pythons in a marsh near Naples.

7. Bayesian statistics - Wikipedia

   en.wikipedia.org/wiki/Bayesian_statistics

   Exploratory analysis of Bayesian models is an adaptation or extension of the exploratory data analysis approach to the needs and peculiarities of Bayesian modeling. In the words of Persi Diaconis: [17] Exploratory data analysis seeks to reveal structure, or simple descriptions in data. We look at numbers or graphs and try to find patterns.