Results 41 to 50 of about 4,093 (257)

ADAPTABLE AUTOREGRESSIVE MOVING AVERAGE FILTER TRIGGERING CONVOLUTIONAL NEURAL NETWORKS FOR CHOREOGRAPHIC MODELING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Choreographic modeling, that is identification of key choreographic primitives, is a significant element for Intangible Cultural Heritage (ICH) performing art modeling.
I. Rallis   +3 more
doaj   +1 more source

A Continuous Time GARCH Process of Higher Order [PDF]

open access: yes, 2005
A continuous time GARCH model of order (p,q) is introduced, which is driven by a single Lévy process. It extends many of the features of discrete time GARCH(p,q) processes to a continuous time setting.
Lindner, Alexander M.   +2 more
core   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

Predicting Annual Tigris River Streamflow at Kut Barrage using SAMS Program

open access: yesWasit Journal of Engineering Sciences
Forecasting synthetic hydrologic data is the primary goal of the Stochastic Analysis, Modeling, and Simulation (SAMS) program. This research examined yearly data on the streamflow of the Kut Barrage on the Tigris River spanning 21 years, from 2003 to ...
Ghufran R. AL-Youdawi   +1 more
doaj   +1 more source

R-estimation for arma models [PDF]

open access: yesJournal of Nonparametric Statistics, 2001
This paper is devoted to the It-estimation problem for the parameter of a stationary ARMA model. The asymptotic uniform linearity of a suitable vector of rank statistics leads to the asymptotic normality of v/w-consistent R-estimates resulting from the minimization of the norm of this vector.
Allal, Jelloul   +2 more
openaire   +3 more sources

Where Is the Take in Give and Take? A Review of Empathy Effects on Workplace Outcomes for Both Givers and Receivers

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT There is increasing interest in understanding and recognition of the importance of empathy effects at work. However, despite the two‐party nature of empathy, little research has distinguished between empathy‐giving versus empathy‐receiving, or between empathy‐giver versus receiver.
Xiaoxiao Jiang   +3 more
wiley   +1 more source

Frequency-zooming ARMA modeling for analysis of noisy string instrument tones [PDF]

open access: yes, 2020
This paper addresses model-based analysis of string instrument sounds. In particular, it reviews the application of autoregressive (AR) modeling to sound analysis/synthesis purposes.
Vesa Välimäki   +2 more
core  

Pemodelan Harga Saham Menggunakan Arma-Garch

open access: yes, 2022
Autoregressive Conditional Heteroscedasticity (ARCH) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models were used for modeling with heteroscedasticity data.
Dwi Sulistiowati   +5 more
core   +1 more source

Living Well With Type 1 Diabetes in Middle School: A Student‐Centered Perspective

open access: yesPsychology in the Schools, EarlyView.
ABSTRACT Type 1 diabetes (T1D) is among the most common chronic illnesses affecting children and adolescents, meaning that all schools regularly include students with T1D. Supporting their well‐being requires understanding how they experience middle school to address their specific needs.
Isabelle Joing   +4 more
wiley   +1 more source

The Application of Spatial Analysis and Time Series in Modeling the Frequency of Earthquake Events in Bengkulu Province

open access: yesAceh International Journal of Science and Technology, 2018
This study provides an overview in combining spatial analysis and time series analysis to model the frequency of earthquake. The aim of this research is to apply the spatial statistical analysis and time series analysis in estimating semivariogram ...
Fachri Faisal, Pepi Novianti, Jose Rizal
doaj   +1 more source

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