| version 1.25, 2018/05/07 04:50:46 |
version 1.27, 2018/11/13 01:14:49 |
| Line 12 the Holonomic Gradient Descent Method (HGD) </h1> |
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| Line 12 the Holonomic Gradient Descent Method (HGD) </h1> |
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| <h2> Papers and Tutorials</h2> |
<h2> Papers and Tutorials</h2> |
| <ol> |
<ol> |
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<li> M.Harkonen, T.Sei, Y.Hirose, |
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Holonomic extended least angle regression, |
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<a href="https://arxiv.org/abs/1809.08190"> arxiv:1809.08190 </a> |
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<li> S.Mano, |
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Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics, |
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<a href="https://www.springer.com/jp/book/9784431558866"> |
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JSS Research Series in Statistics</a>, 2018. |
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<li> A.Kume, T.Sei, |
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On the exact maximum likelihood inference of Fisher–Bingham distributions using an adjusted holonomic gradient method, |
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<a href="https://doi.org/10.1007/s11222-017-9765-3"> doi </a> (2018) |
| <li> Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama, |
<li> Yoshihito Tachibana, Yoshiaki Goto, Tamio Koyama, Nobuki Takayama, |
| Holonomic Gradient Method for Two Way Contingency Tables, |
Holonomic Gradient Method for Two Way Contingency Tables, |
| <a href="https://arxiv.org/abs/1803.04170"> arxiv:1803.04170 </a> |
<a href="https://arxiv.org/abs/1803.04170"> arxiv:1803.04170 </a> |
| Line 251 maximal Likehood estimates for the Fisher-Bingham dist |
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| Line 261 maximal Likehood estimates for the Fisher-Bingham dist |
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| <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a> |
<li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a> |
| </ol> |
</ol> |
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| <pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.24 2018/03/19 01:17:46 takayama Exp $ </pre> |
<pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.26 2018/07/06 06:01:51 takayama Exp $ </pre> |
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