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AI-Enabled Digital Health Promotion and Prevention: Computational Literature Review. [PDF]

JMIR AI
Girão Carrilho M, Costa Pinto D, Wagner R, Rohden SF, Telo de Arriaga M, Quelhas Pinto L.   +5 more
europepmc   +1 more source

Hamiltonian simulation for nonlinear partial differential equation by Schrödingerization. [PDF]

Sci Rep
Sasaki S, Endo K, Muramatsu M.
europepmc   +1 more source

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The History of the Dirichlet and Liouville Distributions

International Statistical Review / Revue Internationale de Statistique, 2001
SummaryThe Dirichlet distributions have long been the subject of intense scrutiny in statistics and probability. Despite the enormous interest in, and wide‐ranging applications of, these distributions, little appears to be known about their history.
Gupta, Rameshwar D., Richards, Donald St. P.   +1 more
openaire   +1 more source

DIRICHLET DISTRIBUTION AND ESTIMATION OF PARAMETERS

Advances and Applications in Statistics, 2018
Summary: In this study, Dirichlet distribution, its history and usage areas are examined. Then, its characteristics are calculated and it is aimed to estimate parameters. To our knowledge, there is little research into parameter estimations that have been made for different sample sizes using the maximum likelihood method.
Demirel, Ahmet Fatih, Çelik, H. Eray
openaire   +3 more sources

Generalized symmetrized dirichlet distributions

Acta Mathematicae Applicatae Sinica, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fang, Kaitai, Fang, Biqi
openaire   +2 more sources

On the Distribution of Dirichlet Sums

Journal d Analyse Mathematique, 1993
Assuming \(| t_ r|\leq T\), \(| t_ r-t_ s|\geq 1\) and ...
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Distributed Latent Dirichlet Allocation on Streams

ACM Transactions on Knowledge Discovery from Data, 2021
Latent Dirichlet Allocation (LDA) has been widely used for topic modeling, with applications spanning various areas such as natural language processing and information retrieval. While LDA on small and static datasets has been extensively studied, several real-world challenges are posed in practical scenarios where datasets are often huge ...
Yunyan Guo, Jianzhong Li 0001
openaire   +1 more source