Results 21 to 30 of about 4,722,571 (139)

Understanding Hierarchical Processes

Entropy, 2022
Hierarchical stochastic processes, such as the hierarchical Dirichlet process, hold an important position as a modelling tool in statistical machine learning, and are even used in deep neural networks.
Wray Buntine
doaj   +1 more source

Generalised Dirichlet-Type Distributions [PDF]

The Egyptian Statistical Journal, 1985
Series of independent life tests based on exponential model are considered. The distribution of a linear combination of spacings (LCOS) as well as the distribution of the sum of LCOS are used to develop new distributions which are generalised Dirichlet ...
G.S. Lingappaiah
doaj   +1 more source

Improving application performance with biased distributions of quantum states

Physical Review Research, 2021
We consider the properties of a specific distribution of mixed quantum states of arbitrary dimension that can be biased towards a specific mean purity. In particular, we analyze mixtures of Haar-random pure states with Dirichlet-distributed coefficients.
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby   +5 more
doaj   +1 more source

Value Distribution of General Dirichlet series. VI

Nonlinear Analysis, 2005
In the paper a limit theorem in the sense of weak convergence of probability measures on the complex plane for a new class of general Dirichlet series is obtained.
A. Laurinčikas
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Implications of Spectral Interlacing for Quantum Graphs

Entropy, 2023
Quantum graphs are ideally suited to studying the spectral statistics of chaotic systems. Depending on the boundary conditions at the vertices, there are Neumann and Dirichlet graphs.
Junjie Lu, Tobias Hofmann, Ulrich Kuhl, Hans-Jürgen Stöckmann   +3 more
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On Joint Distribution of General Dirichlet Series

Nonlinear Analysis, 2003
In the paper a joint limit theorem in the sense of the weak convergence in the space of meromorphic functions for general Dirichlet series is proved under weaker conditions as in [1].
J. Genys, A. Laurinčikas
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Modeling geo-homopholy in online social networks for population distribution projection [PDF]

International Journal of Crowd Science, 2017
Purpose – Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas.
Yuanxing Zhang, Zhuqi Li, Kaigui Bian, Yichong Bai, Zhi Yang, Xiaoming Li   +5 more
doaj   +1 more source

Topic Classification of Central Bank Monetary Policy Statements: Evidence from Latent Dirichlet Allocation in Lesotho

Acta Universitatis Sapientiae: Economics and Business, 2022
This article develops a baseline on how to analyse the statements of monetary policy from Lesotho’s Central Bank using a method of topic classification that utilizes a machine learning algorithm known as Latent Dirichlet Allocation.
Damane Moeti
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Spatiotemporal Regression and Autoregression for Fusing Satellite Precipitation Data

Engineering Proceedings
Most existing precipitation data fusion methods rely on reliable precipitation values, such as those observed from ground-based rain gauges, to correct the satellite precipitation estimates (SPEs) that often involve systematic biases.
Xueming Li, Guoqi Qian
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Some properties of a generalized type-1 Dirichlet distribution

Statistica, 2013
This paper deals with a generalization of type-1 Dirichlet density by incorporating partial sums of the component variables. We study various proportions, structural decompositions, connections to random volumes and p-parallelotopes.
E. V. Mayamol
doaj   +1 more source