Timeline for Why does the von Mises-Fisher distribution need two parameters?
Current License: CC BY-SA 4.0
11 events
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Feb 7, 2022 at 21:00 | history | tweeted | twitter.com/StackStats/status/1490792493520240642 | ||
Feb 7, 2022 at 16:02 | answer | added | Sextus Empiricus | timeline score: 2 | |
Feb 7, 2022 at 14:43 | history | edited | whuber♦ |
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Feb 7, 2022 at 14:41 | comment | added | whuber♦ | @Scortchi Thank you -- I had only looked at the condition $\mu\in\mathbb{R}^p.$ Yes, indeed, this is a critical observation, for it reduces the question to two key aspects: (1) the smoothness of the map $S^{p-1}\times\mathbb{R}_+\to\mathbb{R}^p\setminus\{0\}$ defined by $(\mu,\kappa)\to\mu\kappa$ and (2) the interpretability of the resulting reparameterization. | |
Feb 7, 2022 at 8:38 | comment | added | Scortchi♦ | @whuber: I don't follow the above: aren't $\kappa$ & $\mu$ just the length & direction, respectively, of the vector $\kappa\mu$, & so uniquely determined by it? | |
Feb 6, 2022 at 16:30 | comment | added | whuber♦ | Because in the interior of the parameter space all the distributions are distinct, and within that space the product $\kappa\mu$ never determines the ordered pair $(\kappa,\mu),$ you can parameterize only a proper subset of all such distributions in this manner. This is exactly like asking why we might want to describe the shapes of rectangles using two non-negative numbers rather than employing only their areas. | |
Feb 6, 2022 at 2:59 | comment | added | Henry | A potentially more natural single parametrisation might be the expected value (which will lie in the interior of the sphere and have the same direction as $\mu$), and is related to a sufficient statistic of a sample from the distribution. Unfortunately the relationship with $\kappa$ is not simple | |
Feb 6, 2022 at 0:04 | answer | added | Aksakal | timeline score: 4 | |
Feb 5, 2022 at 23:58 | answer | added | jbowman | timeline score: 5 | |
Feb 5, 2022 at 23:06 | history | edited | Rylan Schaeffer | CC BY-SA 4.0 |
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Feb 5, 2022 at 23:00 | history | asked | Rylan Schaeffer | CC BY-SA 4.0 |