Results 31 to 40 of about 4,521,299 (288)
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 +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
doaj +1 more source
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 +3 more
doaj +1 more source
Asymptotics for Constrained Dirichlet Distributions
Bayesian Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geyer, Charles, Meeden, Glen
openaire +3 more sources
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 +5 more
doaj +1 more source
Models beyond the Dirichlet process [PDF]
Bayesian nonparametric inference is a relatively young area of research and it has recently undergone a strong development. Most of its success can be explained by the considerable degree of exibility it ensures in statistical modelling, if compared to ...
Antonio Lijoi, Igor Pruenster
core +4 more sources
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
doaj +1 more source
Spatiotemporal Regression and Autoregression for Fusing Satellite Precipitation Data
Engineering ProceedingsMost 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
doaj +1 more source
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
The spherical-Dirichlet distribution [PDF]
Journal of Statistical Distributions and Applications, 2020 AbstractToday, data mining and gene expressions are at the forefront of modern data analysis. Here we introduce a novel probability distribution that is applicable in these fields. This paper develops the proposed spherical-Dirichlet distribution designed to fit vectors located at the positive orthant of the hypersphere, as it is often the case for ...
openaire +1 more source