Results 21 to 30 of about 56,790 (283)
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
doaj +1 more source
Variational Auto-Regressive Gaussian Processes for Continual Learning
, 2020 International Conference on Machine Learning (ICML ...
Kapoor, Sanyam +2 more
openaire +2 more sources
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
openaire +3 more sources
Detection of low-velocity impact-induced delaminations in composite laminates using Auto-Regressive models [PDF]
, 2016 In this paper, the detection of delaminations in carbon-fiber-reinforced-plastic (CFRP) laminate plates induced by low-velocity impacts (LVI) is investigated by means of Auto-Regressive (AR) models obtained from the time histories of the acquired ...
Gaudenzi, Paolo +3 more
core +1 more source
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
doaj +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
doaj +1 more source
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
doaj +1 more source
A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates [PDF]
, 2014 Accurate stochastic simulations of hourly precipitation are needed for impact studies at local spatial scales. Statistically, hourly precipitation data represent a difficult challenge.
Koch, Erwan, Naveau, Philippe
core +2 more sources
Persistence versus stability for auto-regressive processes
, 2019 34 ...
Dembo, Amir, Ding, Jian, Yan, Jun
openaire +2 more sources
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
openaire +1 more source