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# Connecting BLISS and JIF
We will leverage existing DESC tools to build a bayesian pipeline for obtaining shear posteriors from simulated images.
Contacts: @ismael-mendoza
Day/Time: Afternoon…
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I am new to Bayesian statistics and generally do not have much experience with statistics. In reading McElreath Statistical Rethinking, I enjoy very much your translation to the tidyverse approach. Th…
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companion to issue #2895
Cai, Yong, and K. Krishnamoorthy. "Exact size and power properties of five tests for multinomial proportions." Communications in Statistics—Simulation and Computation® 35, no…
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As our work on this package progress, this issue can help us enumerate possible future features of the package depending on the time and interests of contributors. Some features will be needed for th…
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**Package description**
newLISP is a Lisp-like, general-purpose scripting language. It is especially well-suited for applications in AI, simulation, natural language processing, big data, machine…
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The following functionality is being developed for future versions of **spm1d**:
**STATISTICS**
- P values for non-significant results
- Direction selection ("positive" or "negative") for one-tai…
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I think we could wrap our mcmc parameters in a custom class that would make it easier to work with the mcmc results (in the spirit of rval (?) in posterior package).
In mcmc world (samples)
Scal…
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From the to-do file:
> Existing RIF statistical functionality such as Satscan (for cluster dectection), INLA and LinBUGS/WinBUGS (for Bayesian Smoothing) will continue to be supported
Peter:
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Hi! After I used fit_vb() to fit a Binomial Bayes Mixed GLM instead of fit() -as suggested by Josef in issue #4700- I tried to get the fitter values with predict() but got a NotImplementedError again.…
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