andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-2150 knowledge-graph by maker-knowledge-mining
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Introduction: We’re happy to announce the release of Stan C++, CmdStan, RStan, and PyStan 2.1.0. This is a minor feature release, but it is also an important bug fix release. As always, the place to start is the (all new) Stan web pages: http://mc-stan.org Major Bug in 2.0.0, 2.0.1 Stan 2.0.0 and Stan 2.0.1 introduced a bug in the implementation of the NUTS criterion that led to poor tail exploration and thus biased the posterior uncertainty downward. There was no bug in NUTS in Stan 1.3 or earlier, and 2.1 has been extensively tested and tests put in place so this problem will not recur. If you are using Stan 2.0.0 or 2.0.1, you should switch to 2.1.0 as soon as possible and rerun any models you care about. New Target Acceptance Rate Default for Stan 2.1.0 Another big change aimed at reducing posterior estimation bias was an increase in the target acceptance rate during adaptation from 0.65 to 0.80. The bad news is that iterations will take around 50% longer
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1 We’re happy to announce the release of Stan C++, CmdStan, RStan, and PyStan 2. [sent-1, score-0.225]
2 This is a minor feature release, but it is also an important bug fix release. [sent-4, score-0.562]
3 As always, the place to start is the (all new) Stan web pages: http://mc-stan. [sent-5, score-0.068]
4 1 introduced a bug in the implementation of the NUTS criterion that led to poor tail exploration and thus biased the posterior uncertainty downward. [sent-14, score-0.604]
5 1 has been extensively tested and tests put in place so this problem will not recur. [sent-17, score-0.147]
6 0 as soon as possible and rerun any models you care about. [sent-24, score-0.085]
7 0 Another big change aimed at reducing posterior estimation bias was an increase in the target acceptance rate during adaptation from 0. [sent-27, score-0.749]
8 The bad news is that iterations will take around 50% longer because of the reduced step size required to achieve the higher acceptance rate. [sent-30, score-0.318]
9 The good news is that chains should be less variable and tails of hierarchical models should be explored more efficiently (in particular, fewer “stuck” chains). [sent-31, score-0.492]
10 There are also new configuration parameters that let you control how long the various phases of adaptation last, with explanations in the command section of the manual. [sent-32, score-0.549]
11 0906 New Features and Minor Bug Fixes The full list can be found in the release notes at: https://github. [sent-40, score-0.154]
12 There were also many updates to clarify the manual. [sent-46, score-0.07]
13 As always, we’d love to hear from you on our mailing lists if you have suggestions, bug reports, problems installing, etc. [sent-47, score-0.535]
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