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The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization constants of unnormalized probability distributions by utilizing holonomic systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method to find maximal likelihood estimates by utilizing the HGM.
Package details |
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Author | Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama |
Maintainer | Nobuki Takayama <takayama@math.kobe-u.ac.jp> |
License | GPL-2 |
Version | 1.23 |
URL | http://www.openxm.org |
Package repository | View on CRAN |
Installation |
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