Results 21 to 30 of about 75,217 (233)
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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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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Variational Auto-Regressive Gaussian Processes for Continual Learning
, 2020 International Conference on Machine Learning (ICML ...
Kapoor, Sanyam +2 more
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Auto Regressive eXogenous (ARX) System Identification of Batch Milk Cooling Process
ASEAN Journal of Chemical Engineering, 2022 The dynamic model of the milk cooling process from 36°C to 4°C using chilled water available at 2°C has been carried out. The cooling water temperature is kept constant by using a refrigeration unit. The process being studied was a Packo brand milk cooling tank belonging to KUD SAE Pujon (Malang - Indonesia). A fundamental heat balance method was used
Rudy Agustriyanto +2 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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Rice crop growth analysis using Auto Regressive Models
Journal of Probability and Statistical Science, 2023 Time series play a vital role in predicting and forecasting different types of agricultural applications with respect to different types of problems among successive units of observations.
Khadar Babu SK +2 more
semanticscholar +1 more source
Spatiality in small area estimation: A new structure with a simulation study
Geospatial Health, 2020 In numerous practical applications, data from neighbouring small areas present spatial correlation. More recently, an extension of the Fay–Herriot model through the Simultaneously Auto- Rregressive (SAR) process has been considered.
Yadollah Mehrabi +3 more
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A Stochastic Dynamical Model of Slope Creep and Failure
Geophysical Research Letters, 2023 We propose a stochastic dynamical model to simulate slope secondary and tertiary creep phenomena. The slope secondary creep is represented by the Kesten process defined as a stochastic affine auto‐regressive process involving both multiplicative and ...
Qinghua Lei, Didier Sornette
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Persistence versus stability for auto-regressive processes
, 2019 34 ...
Dembo, Amir, Ding, Jian, Yan, Jun
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Prediction of weakly locally stationary processes by auto-regression
Latin American Journal of Probability and Mathematical Statistics, 2018 In this contribution we introduce weakly locally stationary time series through the local approximation of the non-stationary covariance structure by a stationary one. This allows us to define autoregression coefficients in a non-stationary context, which, in the particular case of a locally stationary Time Varying Autoregressive (TVAR ...
François Roueff, André Sánchez-Pérez
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