Results 11 to 20 of about 56,790 (283)
Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes [PDF]
Physics of Fluids, 2014 We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is ...
Faranda, Davide +7 more
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The Revised Model State Administrative Procedure Act—Reform or Retrogression? [PDF]
, 1963 In this contribution, we deal with the deterministic dominance of the probability moments of stochastic processes. More precisely, given a positive stochastic process, we propose to dominate its probability moment sequence by the trajectory of ...
Bloomenthal, Harold S.
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Modeling Method of Human Motion Based on Dynamic Forest Model [PDF]
Jisuanji gongcheng, 2016 Aiming at the disadvantages that the existing modeling methods of human motion cannot be applied at the general nonlinear and non-Gaussian cases,based on the Markoff model,an improved modeling method of human motion is proposed.The Markov process of ...
SUN Li
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Effect of the COVID-19 pandemic on the number of deaths in Peru: 2017.03-2020.07
Semestre Economico, 2021 The objective of the research is to estimate the excess deaths during the COVID-19 epidemic in Peru. The methodology used for the ARMA models with structural with a structural change in mean. In the first place, the results show that the behavior of the
Rene-Paz Paredes
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Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling [PDF]
, 2012 Increasingly large volumes of space-time data are collected everywhere by mobile computing applications, and in many of these cases temporal data are obtained by registering events, for example telecommunication or web traffic data.
Banerjee +48 more
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Relay transmission under mobile edge computing in energy-limited networks with real-time constraints
Journal of Algorithms & Computational Technology, 2020 For energy-limited networks with real-time constraints, long-distance transmission, complex calculations, and limited delay are problems to be faced in service applications.
Guilu Wu +3 more
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Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes [PDF]
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 We present a framework for the classification of visual processes that are best modeled with spatio-temporal autoregressive models. The new framework combines the modeling power of a family of models known as dynamic textures and the generalization guarantees, for classification, of the support vector machine classifier. This combination is achieved by
A.B. Chan, N. Vasconcelos
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On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater [PDF]
, 2005 The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models lire tested.
Kourti +9 more
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Journal of Algorithms & Computational Technology, 2019 Current algorithms for estimating auto-regressive moving average parameters of transistor 1/f process are usually under noiseless background. Transistor noises are measured by a non-destructive cross-spectrum measurement technique, with transistor noise ...
Chen Wang +5 more
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Analyzing the Gaver-Lewis Pareto process under an extremal perspective [PDF]
, 2017 Pareto processes are suitable to model stationary heavy-tailed data. Here, we consider the auto-regressive Gaver–Lewis Pareto Process and address a study of the tail behavior. We characterize its local and long-range dependence.
Arnold +10 more
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