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rpsychologist.com
| | aurimas.eu
2.4 parsecs away

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| | xianblog.wordpress.com
4.2 parsecs away

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| | "The algorithm can be made differentially private while remaining exact in the sense that its target distribution is the true posterior distribution conditioned on the private data (...) The main contribution of this paper arises from the simple observation that the penalty algorithm has a built-in noise in its calculations which is not desirable in...
| | easystats.github.io
3.6 parsecs away

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| | [AI summary] The article explains credible intervals in Bayesian statistics, comparing them to frequentist confidence intervals, discussing their computation methods (HDI, ETI, SI), and their implications for interpreting statistical results.
| | johnlogsdon.fieldofscience.com
29.7 parsecs away

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| Greetings from New London, New Hampshire, where I am attending the Meiosis Gordon Research Conference this week. As such, it seems timel...