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                      5: <title>References for HGM</title> <!-- Use UTF-8 文字 code-->
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                      9:
                     10: <h1> References for the Holonomic Gradient Method (HGM) and
                     11: the Holonomic Gradient Descent Method  (HGD) </h1>
                     12:
                     13: <h2> Papers  and Tutorials</h2>
                     14: <ol>
1.11    ! takayama   15: <li>N.Marumo, T.Oaku, A.Takemura,
        !            16: Properties of powers of functions satisfying second-order linear differential equations with applications to statistics,
        !            17: <a href="http://arxiv.org/abs/1405.4451"> arxiv:1405.4451</a>
        !            18:
1.8       takayama   19: <li> J.Hayakawa, A.Takemura,
                     20: Estimation of exponential-polynomial distribution by holonomic gradient descent
                     21: <a href="http://arxiv.org/abs/1403.7852"> arxiv:1403.7852</a>
                     22:
                     23: <li> C.Siriteanu, A.Takemura, S.Kuriki,
                     24: MIMO Zero-Forcing Detection Performance Evaluation by Holonomic Gradient Method
                     25: <a href="http://arxiv.org/abs/1403.3788"> arxiv:1403.3788</a>
                     26:
1.4       takayama   27: <li> T.Koyama,
1.1       takayama   28: Holonomic Modules Associated with Multivariate Normal Probabilities of Polyhedra,
                     29: <a href="http://arxiv.org/abs/1311.6905"> arxiv:1311.6905 </a>
                     30:
                     31: <li> T.Hibi, K.Nishiyama, N.Takayama,
                     32: Pfaffian Systems of A-Hypergeometric Equations I,
                     33: Bases of Twisted Cohomology Groups,
                     34: <a href="http://arxiv.org/abs/1212.6103"> arxiv:1212.6103 </a>
                     35: (major revision v2 of arxiv:1212.6103)
                     36:
                     37: <li> <img src="./wakaba01.png" alt="Intro">
                     38: <a href="http://link.springer.com/book/10.1007/978-4-431-54574-3">
                     39: T.Hibi et al, Groebner Bases : Statistics and Software Systems </a>, Springer, 2013.
                     40:
                     41: <li> <img src="./wakaba01.png" alt="Intro">
                     42: Introduction to the Holonomic Gradient Method (movie), 2013.
                     43: <a href="http://www.youtube.com/watch?v=SgyDDLzWTyI"> movie at youtube </a>
                     44:
1.2       takayama   45:
1.1       takayama   46: <li> T.Sei, A.Kume,
1.2       takayama   47: Calculating the Normalising Constant of the Bingham Distribution on the Sphere using the Holonomic Gradient Method,
1.1       takayama   48: Statistics and Computing, 2013,
                     49: <a href="http://dx.doi.org/10.1007/s11222-013-9434-0">DOI</a>
                     50:
1.4       takayama   51: <li> T.Koyama, A.Takemura,
1.2       takayama   52: Calculation of Orthant Probabilities by the Holonomic Gradient Method,
                     53: <a href="http://arxiv.org/abs/1211.6822"> arxiv:1211.6822</a>
                     54:
1.1       takayama   55: <li>T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama,
                     56: Holonomic Rank of the Fisher-Bingham System of Differential Equations,
                     57: <!-- <a href="http://arxiv.org/abs/1205.6144"> arxiv:1205.6144 </a>-->
1.11    ! takayama   58: Journal of Pure and Applied Algebra  (online),
        !            59: <a href="http://dx.doi.org/10.1016/j.jpaa.2014.03.004"> DOI </a>
1.1       takayama   60:
                     61: <li>
                     62: T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama,
                     63: Holonomic Gradient Descent for the Fisher-Bingham Distribution on the d-dimensional Sphere,
                     64: <!-- <a href="http://arxiv.org/abs/1201.3239"> 1201.3239 </a> -->
                     65: Computational Statistics (2013)
                     66: <a href="http://dx.doi.org/10.1007/s00180-013-0456-z"> DOI </a>
                     67:
                     68: <li> Hiroki Hashiguchi, Yasuhide Numata, Nobuki Takayama, Akimichi Takemura,
                     69: Holonomic gradient method for the distribution function of the largest root of a Wishart matrix,
                     70: <!-- <a href="http://arxiv.org/abs/1201.0472"> 1201.0472 </a> -->
                     71: Journal of Multivariate Analysis, 117, (2013) 296-312,
                     72: <a href="http://dx.doi.org/10.1016/j.jmva.2013.03.011"> DOI </a>
                     73:
                     74: <li> Tomonari Sei, Hiroki Shibata, Akimichi Takemura, Katsuyoshi Ohara, Nobuki Takayama,
                     75: Properties and applications of Fisher distribution on the rotation group,
                     76: <!-- <a href="http://arxiv.org/abs/1110.0721"> 1110.0721 </a> -->
                     77: Journal of Multivariate Analysis, 116 (2013), 440--455,
                     78: <a href="http://dx.doi.org/10.1016/j.jmva.2013.01.010">DOI</a>
                     79:
                     80: <li>T.Koyama, A Holonomic Ideal which Annihilates the Fisher-Bingham Integral,
                     81: Funkcialaj Ekvacioj 56 (2013), 51--61.
1.11    ! takayama   82: <a href="http://dx.doi.org/10.1619/fesi.56.51">DOI</a>
        !            83: <!-- <a href="https://www.jstage.jst.go.jp/article/fesi/56/1/56_51/_article">jstage</a> -->
1.1       takayama   84:
                     85: <li>
                     86: Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara,
                     87: Tomonari Sei, Nobuki Takayama, Akimichi Takemura ,
                     88: Holonomic Gradient Descent  and its Application to Fisher-Bingham Integral,
                     89: <!-- <a href="http://arxiv.org/abs//1005.5273"> arxiv:1005.5273 </a>  -->
                     90: Advances in Applied Mathematics 47 (2011), 639--658,
                     91: <a href="http://dx.doi.org/10.1016/j.aam.2011.03.001"> DOI </a>
                     92: </ol>
                     93:
1.2       takayama   94: <h2> Three Steps of HGM </h2>
                     95: <ol>
1.10      takayama   96: <li> Finding a holonomic system satisfied by the normalizing constant.
1.2       takayama   97: We may use computational or theoretical methods to find it.
                     98: Groebner basis and related methods are used.
1.10      takayama   99: <li> Finding an initial value vector for the holonomic system.
1.2       takayama  100: This is equivalent to evaluating the normalizing constant and its derivatives
                    101: at a point.
                    102: This step is usually performed by a series expansion.
1.10      takayama  103: <li> Solving the holonomic system numerically. We use several methods
1.2       takayama  104: in numerical analysis such as the Runge-Kutta method of solving
                    105: ordinary differential equations and efficient solvers of systems of linear
                    106: equations.
                    107: </ol>
                    108:
1.1       takayama  109: <h2> Software Packages for HGM</h2>
1.6       takayama  110: Most software packages are experimental and temporary documents are found in
                    111: "asir-contrib manual" (auto-autogenerated part), or
                    112: "Experimental Functions in Asir", or "miscellaneous and other documents"
                    113: of the
                    114: <a href="http://www.math.kobe-u.ac.jp/OpenXM/Current/doc/index-doc.html">
1.7       takayama  115: OpenXM documents</a>
1.8       takayama  116: or in <a href="./"> this folder</a>.
1.10      takayama  117: The nightly snapshot of the asir-contrib can be found in the asir page below,
1.6       takayama  118: or look up our <a href="http://www.math.sci.kobe-u.ac.jp/cgi/cvsweb.cgi/">
1.8       takayama  119: cvsweb page</a>.
1.1       takayama  120: <ol>
1.9       takayama  121: <li> Command line interfaces are in the folder OpenXM/src/hgm
                    122: in the OpenXM source tree. See <a href="http://www.math.kobe-u.ac.jp/OpenXM">
                    123: OpenXM distribution page </a>.
1.11    ! takayama  124: <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/hgm/"> hgm package for R </a> (hgm_*tar.gz, hgm-manual.pdf) for the step 3.
        !           125: To install this package in R, type in
        !           126: <pre>
        !           127: R CMD install hgm_*.tar.gz
        !           128: </pre>
1.10      takayama  129: <li> The following packages are
                    130: for the computer algebra system
                    131: <a href="http://www.math.kobe-u.ac.jp/Asir"> Risa/Asir</a>.
                    132: They are in the asir-contrib collection.
                    133: <ul>
                    134: <li> yang.rr (for Pfaffian systems) ,
                    135: nk_restriction.rr (for D-module integrations),
                    136: tk_jack.rr  (for Jack polynomials),
                    137: ko_fb_pfaffian.rr (Pfaffian system for the Fisher-Bingham system),
                    138: are for the steps 1 or 2.
                    139: <li> nk_fb_gen_c.rr is a package to generate a C program to perform
1.7       takayama  140: maximal Likehood estimates for the Fisher-Bingham distribution by HGD (holonomic gradient descent).
1.10      takayama  141: <li> ot_hgm_ahg.rr (HGM for A-distributions, very experimental).
                    142: </ul>
1.1       takayama  143: </ol>
                    144:
                    145: <h2> Programs to try examples of our papers </h2>
                    146: <ol>
                    147: <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>
                    148: </ol>
                    149:
1.11    ! takayama  150: <pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.10 2014/05/16 11:30:31 takayama Exp $ </pre>
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