|
1 |
| -# Community |
| 1 | +# Learn Bayesian statistics |
2 | 2 |
|
3 |
| -Interact with others in the PyMC world |
| 3 | +## ...with others! |
4 | 4 |
|
5 |
| -## Events |
| 5 | +:::{list-table} |
| 6 | +:header-rows: 0 |
| 7 | +:widths: 10 150 |
6 | 8 |
|
7 |
| -### Journal Club |
| 9 | +* - {fa}`discourse,fa-2x,style=fab` |
| 10 | + - [Discourse Forum](https://discourse.pymc.io/) |
8 | 11 |
|
9 |
| -Every month the PyMC developers meet virtually to talk about a recent or particularly interesting article. |
| 12 | + The PyMC discourse forum is a great place to ask general questions about Bayesian statistics, or more specific ones about PyMC usage. |
| 13 | +* - {fa}`meetup,fa-2x,style=fab` |
| 14 | + - Conferences |
10 | 15 |
|
11 |
| -Find out more [here](https://discourse.pymc.io/c/journal-club/9)! |
| 16 | + PyMC talks have been given at a number of conferences, including [PyCon](https://us.pycon.org/), |
| 17 | + [PyData](https://pydata.org/events/), and [ODSC](https://odsc.com/) events. |
| 18 | +* - {fa}`python,fa-2x,style=fab` |
| 19 | + - [Meetup Groups](https://www.meetup.com/) |
12 | 20 |
|
| 21 | + Many areas have an local Bayesian, PyData, or Stan meetup. |
| 22 | +::: |
| 23 | + |
| 24 | +## ...with a video! |
13 | 25 |
|
14 |
| -### PyMCon |
| 26 | +:::{list-table} |
| 27 | +:header-rows: 0 |
| 28 | +:widths: 10 150 |
15 | 29 |
|
16 |
| -Check out information about our past conference, [PyMCon 2020](https://pymcon.com) |
| 30 | +* - {fa}`youtube,fa-2x,style=fab` |
| 31 | + - [YouTube Playlist](https://www.youtube.com/playlist?list=PL1Ma_1DBbE82OVW8Fz_6Ts1oOeyOAiovy) |
17 | 32 |
|
18 |
| -The next edition will likely be held in 2022. Follow us on Twitter for announcements! |
| 33 | + There is an actively curated playlist of PyMC talks on YouTube. |
| 34 | +* - {fa}`youtube,fa-2x,style=fab` |
| 35 | + - [Advance Bayesian Modelling with PyMC](https://github.com/junpenglao/advance-bayesian-modelling-with-PyMC) |
19 | 36 |
|
| 37 | + A two days advance workshop in May 2018 @CEAi in the Czech Republic. |
| 38 | +::: |
20 | 39 |
|
21 |
| -## Code of Conduct |
| 40 | +## ...with a book! |
22 | 41 |
|
23 |
| -In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. |
| 42 | +::::{panels} |
| 43 | +:column: col-lg-4 col-md-4 |
24 | 44 |
|
25 |
| -Read more and find out how to report an issue [here](https://github.com/pymc-devs/pymc/blob/main/CODE_OF_CONDUCT.md). |
| 45 | +--- |
| 46 | +:img-top: https://camo.githubusercontent.com/4a0aca82ca82efab71747d00db30f3a68de98e82/687474703a2f2f692e696d6775722e636f6d2f36444b596250622e706e673f31 |
26 | 47 |
|
27 |
| -## Twitter |
| 48 | +Bayesian Methods for Hackers |
28 | 49 |
|
29 |
| -::::{card} |
30 |
| -:text-align: center |
| 50 | +*Cameron Davidson-Pilon* |
| 51 | +^^^^^^^^ |
31 | 52 |
|
32 |
| -:::{raw} html |
| 53 | +Fantastic book with many applied code examples. |
33 | 54 |
|
34 |
| - <a class="twitter-timeline" data-width="300" data-height="500" data-dnt="true" href="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">Tweets by pymc_devs</a> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> |
| 55 | +:::{list-table} |
| 56 | +:header-rows: 0 |
| 57 | +:widths: 4 60 |
| 58 | + |
| 59 | +* - [{fa}`link`][hackers source] |
| 60 | + - [Github Repo][hackers source] |
| 61 | +* - [{fa}`link`][hackers homepage] |
| 62 | + - [Project Homepage][hackers homepage] |
35 | 63 | :::
|
36 |
| -:::: |
37 | 64 |
|
38 |
| -::::{grid} 2 |
39 |
| -:gutter: 3 3 4 5 |
| 65 | +--- |
| 66 | +:img-top: https://lh3.googleusercontent.com/qU5yWpiVSkujyCnRZhQo8cBUrW_3e_7Cx4jEs5yfpmMbEEuDnxTGOELhy2x7F7qkwFwQJ4pFYNszZhNpN1jCSdrdHsVUHtf1Mg6F8qwb3SQe1TDE=w1280 |
40 | 67 |
|
41 |
| -:::{grid-item-card} Need help? |
42 |
| -[Ask a question!](https://discourse.pymc.io/) |
| 68 | +Doing Bayesian Data Analysis |
43 | 69 |
|
44 |
| -[Read the User Docs]() |
| 70 | +*John Kruschke* |
| 71 | +^^^^^^^^ |
45 | 72 |
|
46 |
| -[Read the Developer Docs]() |
| 73 | +Principled introduction to Bayesian data analysis. |
47 | 74 |
|
| 75 | +:::{list-table} |
| 76 | +:header-rows: 0 |
| 77 | +:widths: 4 60 |
| 78 | + |
| 79 | +* - [{fa}`link`][dbda website] |
| 80 | + - [Book Website][dbda website] |
| 81 | +* - [{fa}`link`][dbda 1st ed nb] |
| 82 | + - [PyMC notebooks for *first edition*][dbda 1st ed nb] |
| 83 | +* - [{fa}`link`][dbda 2nd ed nb] |
| 84 | + - [PyMC notebooks for *second edition*][dbda 2nd ed nb] |
48 | 85 | :::
|
49 |
| -:::{grid-item-card} Around the web |
50 |
| -[Github](https://github.com/pymc-devs) |
51 | 86 |
|
52 |
| -[Twitter](http://https://twitter.com/pymc_devs) |
| 87 | +--- |
| 88 | +:img-top: http://xcelab.net/rm/wp-content/uploads/2012/01/9781482253443-191x300.jpg |
| 89 | + |
| 90 | +Statistical Rethingking |
| 91 | + |
| 92 | +*Richard McElreath* |
| 93 | +^^^^^^^^ |
| 94 | + |
| 95 | +A Bayesian Course with Examples in R and Stan. |
| 96 | + |
| 97 | +:::{list-table} |
| 98 | +:header-rows: 0 |
| 99 | +:widths: 4 60 |
| 100 | + |
| 101 | +* - [{fa}`link`][rethinking website] |
| 102 | + - [Book Website][rethinking website] |
| 103 | +* - [{fa}`link`][rethinking port] |
| 104 | + - [PyMC port of the code][rethinking port] |
| 105 | +::: |
| 106 | + |
| 107 | +--- |
| 108 | +:img-top: https://raw.githubusercontent.com/aloctavodia/BAP/master/Cover.png |
| 109 | + |
| 110 | +Bayesian Analysis with Python |
| 111 | + |
| 112 | +*Osvaldo Martin* |
| 113 | +^^^^^^^^ |
| 114 | + |
| 115 | +A great introductory book written by a maintainer of PyMC. |
| 116 | + |
| 117 | +:::{list-table} |
| 118 | +:header-rows: 0 |
| 119 | +:widths: 4 60 |
53 | 120 |
|
54 |
| -[Discourse](https://discourse.pymc.io/) |
| 121 | +* - [{fa}`link`][bap website] |
| 122 | + - [Book Website][bap website] |
| 123 | +* - [{fa}`link`][bap code] |
| 124 | + - [Code and errata in PyMC][bap code] |
| 125 | +::: |
| 126 | + |
| 127 | +--- |
| 128 | +:img-top: https://images-na.ssl-images-amazon.com/images/I/51K33XI2I8L._SX330_BO1,204,203,200_.jpg |
| 129 | + |
| 130 | +Bayesian Cognitive Modeling: A Practical Course |
| 131 | + |
| 132 | +*Michael Lee and Eric-Jan Wagenmakers* |
| 133 | +^^^^^^^^ |
| 134 | + |
| 135 | +Focused on using Bayesian statistics in cognitive modeling. |
| 136 | + |
| 137 | +:::{list-table} |
| 138 | +:header-rows: 0 |
| 139 | +:widths: 4 60 |
| 140 | + |
| 141 | +* - [{fa}`link`][bcm website] |
| 142 | + - [Book Website][bcm website] |
| 143 | +* - [{fa}`link`][bcm code] |
| 144 | + - [PyMC implementation][bcm code] |
| 145 | +::: |
| 146 | + |
| 147 | +--- |
| 148 | +:img-top: http://www.stat.columbia.edu/~gelman/book/bda_cover.png |
| 149 | + |
| 150 | +Bayesian Data Analysis |
| 151 | + |
| 152 | +*Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin* |
| 153 | +^^^^^^^^ |
| 154 | + |
| 155 | +A comprehensive, standard, and wonderful textbook on Bayesian methods. |
| 156 | + |
| 157 | +:::{list-table} |
| 158 | +:header-rows: 0 |
| 159 | +:widths: 4 60 |
| 160 | + |
| 161 | +* - [{fa}`link`][bda3 website] |
| 162 | + - [Book Website][bda3 website] |
| 163 | +* - [{fa}`link`][bda3 port] |
| 164 | + - [Examples and exercises implemented in PyMC][bda3 port] |
55 | 165 | :::
|
56 | 166 |
|
57 | 167 | ::::
|
| 168 | + |
| 169 | + |
| 170 | +[hackers source]: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers |
| 171 | +[hackers homepage]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ |
| 172 | +[dbda website]: https://sites.google.com/site/doingbayesiandataanalysis/home |
| 173 | +[dbda 1st ed nb]: https://github.com/aloctavodia/Doing_bayesian_data_analysis |
| 174 | +[dbda 2nd ed nb]: https://github.com/JWarmenhoven/DBDA-python |
| 175 | +[rethinking website]: http://xcelab.net/rm/statistical-rethinking/ |
| 176 | +[rethinking port]: https://github.com/pymc-devs/resources/tree/master/Rethinking |
| 177 | +[bap website]: https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition |
| 178 | +[bap code]: https://github.com/aloctavodia/BAP |
| 179 | +[bcm website]: https://bayesmodels.com/ |
| 180 | +[bcm code]: https://github.com/pymc-devs/resources/tree/master/BCM |
| 181 | +[bda3 website]: https://www.stat.columbia.edu/~gelman/book/ |
| 182 | +[bda3 port]: https://github.com/pymc-devs/resources/tree/master/BDA3 |
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