| Inverting the symmetrical beta distribution |
| Full text |
Pdf
(124 KB)
|
| Source
|
ACM Transactions on Mathematical Software (TOMS)
archive
Volume 32 , Issue 4 (December 2006)
table of contents
Pages: 509 - 520
Year of Publication: 2006
ISSN:0098-3500
|
|
Authors
|
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 9, Downloads (12 Months): 46, Citation Count: 2
|
|
|
ABSTRACT
We propose a fast algorithm for computing the inverse symmetrical beta distribution. Four series (two around x = 0 and two around x = 1/2) are used to approximate the distribution function, and its inverse is found via Newton's method. This algorithm can be used to generate beta random variates by inversion and is much faster than currently available general inversion methods for the beta distribution. It turns out to be very useful for generating gamma processes efficiently via bridge sampling.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Abramowitz, M. and Stegun, I. A. 1970. Handbook of Mathematical Functions. Dover, New York.
|
| |
2
|
Avramidis, T. and L'Ecuyer, P. 2006. Efficient Monte Carlo and Quasi-Monte Carlo option pricing with the variance-gamma model. Manage. Sci. to appear.
|
| |
3
|
Brown, B. W., Lovato, J., and Russell, K. 1994. Library of C routines for cumulative distribution functions, inverses, and other parameters. http://odin.mdacc.tmc.edu/anonftp/#DCDFLIB.
|
| |
4
|
Caflisch, R. E. and Moskowitz, B. 1995. Modified Monte Carlo methods using quasi-random sequences. In Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, H. Niederreiter and P. J.-S. Shiue, eds. Lecture Notes in Statistics 106. Springer Verlag, New York, 1--16.
|
| |
5
|
Devroye, L. 1986. Non-Uniform Random Variate Generation. Springer Verlag, New York.
|
 |
6
|
|
| |
7
|
Fox, B. L. 1999. Strategies for Quasi-Monte Carlo. Kluwer Academic, Boston.
|
 |
8
|
|
 |
9
|
|
| |
10
|
Hogg, R. V. and Craig, A. F. 1995. Introduction to Mathematical Statistics, 5th ed. Prentice-Hall.
|
| |
11
|
Hörmann, W., Leydold, J., and Derflinger, G. 2004. Automatic Nonuniform Random Variate Generation. Springer Verlag, Berlin.
|
| |
12
|
|
| |
13
|
|
| |
14
|
Moshier, S. L. 2000. Cephes math library. http://www.moshier.net.
|
| |
15
|
Moskowitz, B. and Caflisch, R. E. 1996. Smoothness and dimension reduction in Quasi-Monte Carlo methods. J. Math. Comput. Modeling 23, 37--54.
|
| |
16
|
Peizer, D. B. and Pratt, J. W. 1968. A normal approximation for binomial, F, beta, and other common related tail probabilities. J. American Statistical Association 63, 1416--1456.
|
| |
17
|
|
| |
18
|
Ulrich, G. 1984. Computer generation of distributions on the m-sphere. App. Statistics 33, 158--163.
|
|