Results 11 to 20 of about 6,076 (254)
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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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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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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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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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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Healthcare Analytics, 2022 The COVID-19 series is obviously one of the most volatile time series with lots of spikes and oscillations. The conventional integer-valued auto-regressive time series models (INAR) may be limited to account for such features in COVID-19 series such as ...
Naushad Mamode Khan +5 more
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Direct and indirect self-tuning generalized minimum variance control [PDF]
Serbian Journal of Electrical Engineering, 2019 Theoretically, several self-tuning control (STC) algorithms have been developed and many simulation results have proved their feasibility in the past years, but applications of STC are hardly seen.
Kareem Hayder Jasim +3 more
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