Auto-Regressive Independent Process Analysis without Combinatorial Efforts [PDF]
, 2010 We treat the problem of searching for hidden multi-dimensional independent auto-regressive processes (Auto-Regressive Independent Process Analysis, AR-IPA). Independent Subspace Analysis (ISA) can be used to solve the AR-IPA task.
Szabo, Z
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A Generalized Estimating Equations Approach for Modeling Spatially Clustered Data
Austrian Journal of Statistics, 2021 Clustering in spatial data is very common phenomena in various fields such as disease mapping, ecology, environmental science and so on. Analysis of spatially clustered data should be different from conventional analysis of spatial data because of the ...
Nasrin Lipi +2 more
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Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum
Iranian Journal of Electrical and Electronic Engineering, 2008 A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived.
M. R. Moniri, M. M. Nayebi, A. Sheikhi
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Shaping energy cost management in process industries through clustering and soft sensors
Frontiers in Energy Research, 2023 With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu +8 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
Antoni B. Chan, Nuno Vasconcelos
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Maximum Likelihood and Modified Maximum Likelihood Estimates of Linear Models with Errors Following Auto Regressive Process [PDF]
The Egyptian Statistical Journal, 1989 The estimation of parameters of linear models with errors following first order auto-regressive process has been investigated. The Modified Maximum likelihood estimates, introduced by Patterson and Thompson (1971,1974) have been derived.
Heba El-Laithy
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A novel machine learning approach to analyzing geospatial vessel patterns using AIS data
GIScience & Remote Sensing, 2022 In the maritime environment, the Automatic Identification System (AIS) contains information related to vessel trajectories that can be used to detect unusual maritime occurrences and maritime traffic patterns.
Martha Dais Ferreira +2 more
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On Tail Dependence and Multifractality
Mathematics, 2020 We study whether, and if yes then how, a varying auto-correlation structure in different parts of distributions is reflected in the multifractal properties of a dynamic process.
Krenar Avdulaj, Ladislav Kristoufek
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Variational Auto-Regressive Gaussian Processes for Continual Learning
CoRR, 2020 International Conference on Machine Learning (ICML ...
Sanyam Kapoor +2 more
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Asymmetry tests for bifurcating auto-regressive processes with missing data [PDF]
Statistics & Probability Letters, 2012 We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of two types \emph{odd} or \emph{even}. The goal of this paper is to study the possible asymmetry between odd and even cells in a single observed lineage.
de Saporta, Benoîte +2 more
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