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.
|Author||Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama|
|Date of publication||2017-04-01 23:13:27 UTC|
|Maintainer||Nobuki Takayama <[email protected]>|
|Package repository||View on CRAN|
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