| Call Number (LC) | Title | Results |
|---|---|---|
| QA279.5.L43 2004 | Bayesian Nonparametrics Via Neural Networks. | 1 |
| QA279.5 .L44 1989 | Bayesian statistics : an introduction / | 1 |
| QA279.5 .L44 1997 | Bayesian statistics : an introduction / | 1 |
| QA279.5 .L44 2012 | Bayesian statistics : an introduction / | 1 |
| QA279.5 .L45 1999 | Bayesian methods : an analysis for statisticians and interdisciplinary researchers / | 1 |
| QA279.5 .L47 2012 | Lesson 6 : Bayes' theorem. | 1 |
| QA279.5 .L49 2006 | Jointness in Bayesian variable selection with applications to growth regression / | 1 |
| QA279.5 .L5 2002 | Bayesian statistical inference for coefficient alpha / | 1 |
| QA279.5 .L55 | Bayesian statistics : a review / | 1 |
| QA279.5 .L553 1972eb | Bayesian statistics a review / | 1 |
| QA279.5 .L56 1970eb | Inference / | 1 |
| QA279.5 .L56 2010 |
Bayesian inference with ecological applications / Bayesian inference : with ecological applications / |
2 |
| QA279.5 .L58 2023 | Bayesian optimization : theory and practice using Python / | 2 |
| QA279.5 .L96 2022 | Applied Bayesian statistics / | 1 |
| QA279.5 .M357 2007 | Bayesian core : a practical approach to computational Bayesian statistics / | 1 |
| QA279.5 .M357 2007eb | Bayesian core a practical approach to computational Bayesian statistics / | 1 |
| QA279.5 .M365 2022 | Bayesian modeling and computation in Python / | 1 |
| QA279.5 M375 2018 | Empirical Bayes Methods / | 1 |
| QA279.5 .M415 2011eb |
The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy / The theory that would not die how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy / |
3 |
| QA279.5 .M59 2005 | Markov chain Monte Carlo : innovations and applications / | 1 |
