Results 1 to 10 of about 56,790 (283)
Tracking an Auto-Regressive Process with Limited Communication per Unit Time [PDF]
Entropy, 2021 Samples from a high-dimensional first-order auto-regressive process generated by an independently and identically distributed random innovation sequence are observed by a sender which can communicate only finitely many bits per unit time to a receiver ...
Rooji Jinan +2 more
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Varying-Coefficient Additive Models with Density Responses and Functional Auto-Regressive Error Process [PDF]
EntropyIn many practical applications, data collected over time often exhibit autocorrelation, which, if unaccounted for, can lead to biased or misleading statistical inferences. To address this issue, we propose a varying-coefficient additive model for density-
Zixuan Han +3 more
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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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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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Auto-regressive independent process analysis without combinatorial efforts [PDF]
Pattern Analysis and Applications, 2009 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. The so-called separation theorem simplifies the ISA task considerably: the theorem enables one to reduce the task to one ...
Zoltán Szabó +2 more
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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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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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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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Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 The quality of importance distribution is vital to adaptive importance sampling, especially in high dimensional sampling spaces where the target distributions are sparse and hard to approximate. This requires that the proposal distributions are expressive and easily adaptable. Because of the need for weight calculation, point evaluation of the proposal
Hechuan, Wang +2 more
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One-Shot Bipedal Robot Dynamics Identification With a Reservoir-Based RNN
IEEE Access, 2023 The nonlinear inverted pendulum model of a lightweight bipedal robot is identified in real-time using a reservoir-based Recurrent Neural Network (RNN). The adaptation occurs online, while a disturbance force is repeatedly applied to the robot body.
Michele Folgheraiter +2 more
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