Dirichlet distribution (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Dirichlet distribution" in English language version.

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7doi.org

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archive.org

BalakrishV. B. (2005). ""Chapter 27. Dirichlet Distribution"". A Primer on Statistical Distributions. Hoboken, NJ: John Wiley & Sons, Inc. p. 274. ISBN 978-0-471-42798-8.
A. Gelman; J. B. Carlin; H. S. Stern; D. B. Rubin (2003). Bayesian Data Analysis (2nd ed.). Chapman & Hall/CRC. pp. 582. ISBN 1-58488-388-X.

arxiv.org

Dello Schiavo, Lorenzo (2019). "Characteristic functionals of Dirichlet measures". Electron. J. Probab. 24: 1–38. arXiv:1810.09790. doi:10.1214/19-EJP371 – via Project Euclid.
Dello Schiavo, Lorenzo; Quattrocchi, Filippo (2023). "Multivariate Dirichlet Moments and a Polychromatic Ewens Sampling Formula". arXiv:2309.11292 [math.PR].
Andreoli, Jean-Marc (2018). "A conjugate prior for the Dirichlet distribution". arXiv:1811.05266 [cs.LG].

books.google.com

Christopher M. Bishop (17 August 2006). Pattern Recognition and Machine Learning. Springer. ISBN 978-0-387-31073-2.

devroye.org

luc.devroye.org

Devroye, Luc (1986). Non-Uniform Random Variate Generation. Springer-Verlag. ISBN 0-387-96305-7.

doi.org

Olkin, Ingram; Rubin, Herman (1964). "Multivariate Beta Distributions and Independence Properties of the Wishart Distribution". The Annals of Mathematical Statistics. 35 (1): 261–269. doi:10.1214/aoms/1177703748. JSTOR 2238036.
Dello Schiavo, Lorenzo (2019). "Characteristic functionals of Dirichlet measures". Electron. J. Probab. 24: 1–38. arXiv:1810.09790. doi:10.1214/19-EJP371 – via Project Euclid.
Song, Kai-Sheng (2001). "Rényi information, loglikelihood, and an intrinsic distribution measure". Journal of Statistical Planning and Inference. 93 (325). Elsevier: 51–69. doi:10.1016/S0378-3758(00)00169-5.
Connor, Robert J.; Mosimann, James E (1969). "Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution". Journal of the American Statistical Association. 64 (325). American Statistical Association: 194–206. doi:10.2307/2283728. JSTOR 2283728.
Grinshpan, A. Z. (2017). "An inequality for multiple convolutions with respect to Dirichlet probability measure". Advances in Applied Mathematics. 82 (1): 102–119. doi:10.1016/j.aam.2016.08.001.
Lefkimmiatis, Stamatios; Maragos, Petros; Papandreou, George (2009). "Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising". IEEE Transactions on Image Processing. 18 (8): 1724–1741. Bibcode:2009ITIP...18.1724L. doi:10.1109/TIP.2009.2022008. PMID 19414285. S2CID 859561.
Blackwell, David; MacQueen, James B. (1973). "Ferguson distributions via Polya urn schemes". Ann. Stat. 1 (2): 353–355. doi:10.1214/aos/1176342372.

harvard.edu

ui.adsabs.harvard.edu

Lefkimmiatis, Stamatios; Maragos, Petros; Papandreou, George (2009). "Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising". IEEE Transactions on Image Processing. 18 (8): 1724–1741. Bibcode:2009ITIP...18.1724L. doi:10.1109/TIP.2009.2022008. PMID 19414285. S2CID 859561.

jstor.org

Olkin, Ingram; Rubin, Herman (1964). "Multivariate Beta Distributions and Independence Properties of the Wishart Distribution". The Annals of Mathematical Statistics. 35 (1): 261–269. doi:10.1214/aoms/1177703748. JSTOR 2238036.
Connor, Robert J.; Mosimann, James E (1969). "Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution". Journal of the American Statistical Association. 64 (325). American Statistical Association: 194–206. doi:10.2307/2283728. JSTOR 2283728.

ncl.ac.uk

mas.ncl.ac.uk

Farrow, Malcolm. "MAS3301 Bayesian Statistics" (PDF). Newcastle University. Retrieved 10 April 2013.

nih.gov

pubmed.ncbi.nlm.nih.gov

Lefkimmiatis, Stamatios; Maragos, Petros; Papandreou, George (2009). "Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising". IEEE Transactions on Image Processing. 18 (8): 1724–1741. Bibcode:2009ITIP...18.1724L. doi:10.1109/TIP.2009.2022008. PMID 19414285. S2CID 859561.

nips.cc

papers.nips.cc

Nemenman, Ilya; Shafee, Fariel; Bialek, William (2002). Entropy and Inference, revisited (PDF). NIPS 14., eq. 8

queensu.ca

mast.queensu.ca

Lin, Jiayu (2016). On The Dirichlet Distribution (PDF). Kingston, Canada: Queen's University. pp. § 2.4.9.

semanticscholar.org

api.semanticscholar.org

Lefkimmiatis, Stamatios; Maragos, Petros; Papandreou, George (2009). "Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising". IEEE Transactions on Image Processing. 18 (8): 1724–1741. Bibcode:2009ITIP...18.1724L. doi:10.1109/TIP.2009.2022008. PMID 19414285. S2CID 859561.

ssrn.com

papers.ssrn.com

Nguyen, Duy. "AN IN DEPTH INTRODUCTION TO VARIATIONAL BAYES NOTE". SSRN 4541076. Retrieved 15 August 2023.

tillahoffmann.github.io

Hoffmann, Till. "Moments of the Dirichlet distribution". Archived from the original on 2016-02-14. Retrieved 14 February 2016.

washington.edu

ee.washington.edu

Bela A. Frigyik; Amol Kapila; Maya R. Gupta (2010). "Introduction to the Dirichlet Distribution and Related Processes" (PDF). University of Washington Department of Electrical Engineering. Archived from the original (Technical Report UWEETR-2010-006) on 2015-02-19.

web.archive.org

Bela A. Frigyik; Amol Kapila; Maya R. Gupta (2010). "Introduction to the Dirichlet Distribution and Related Processes" (PDF). University of Washington Department of Electrical Engineering. Archived from the original (Technical Report UWEETR-2010-006) on 2015-02-19.
Hoffmann, Till. "Moments of the Dirichlet distribution". Archived from the original on 2016-02-14. Retrieved 14 February 2016.

wiley.com

Eq. (49.9) on page 488 of Kotz, Balakrishnan & Johnson (2000). Continuous Multivariate Distributions. Volume 1: Models and Applications. New York: Wiley.

yale.edu

cowles.yale.edu

Phillips, P. C. B. (1988). "The characteristic function of the Dirichlet and multivariate F distribution" (PDF). Cowles Foundation Discussion Paper 865.