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2. Nested sampling algorithm - Wikipedia

   en.wikipedia.org/wiki/Nested_sampling_algorithm

   dyPolyChord: a software package which can be used with Python, C++ and Fortran likelihood and prior distributions. [16] dyPolyChord is available on GitHub. Dynamic nested sampling has been applied to a variety of scientific problems, including analysis of gravitational waves, [17] mapping distances in space [18] and exoplanet detection. [19]

3. 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 ...

4. 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.

5. Recursive Bayesian estimation - Wikipedia

   en.wikipedia.org/wiki/Recursive_Bayesian_estimation

   Sequential Bayesian filtering is the extension of the Bayesian estimation for the case when the observed value changes in time. It is a method to estimate the real value of an observed variable that evolves in time. There are several variations: filtering when estimating the current value given past and current observations, smoothing

6. 200-pound python proves Florida wilderness is an all-you-can ...

   www.aol.com/200-pound-python-proves-florida...

   And they’re spreading north in search of food, officials warn.

7. Bayesian hierarchical modeling - Wikipedia

   en.wikipedia.org/wiki/Bayesian_hierarchical_modeling

   Bayesian research cycle using Bayesian nonlinear mixed effects model: (a) standard research cycle and (b) Bayesian-specific workflow [16]. A three stage version of Bayesian hierarchical modeling could be used to calculate probability at 1) an individual level, 2) at the level of population and 3) the prior, which is an assumed probability ...