Time Analysis of an Emergent Infection Spread Among Healthcare Workers: Lessons Learned from Early Wave of SARS-CoV-2. [PDF]
Leme PAF +8 more
europepmc +1 more source
ARFIMA modely časových řad [PDF]
Práce se zabývá procesy s dlouhou pamětí, kterou definujeme více způsoby. Hlavní pozornost je věnována modelu ARFIMA, jeho základním vlastnostem a využití. Práce dále obsahuje podrobný popis grafických, semiparametrických a parametrických metod pro odhad
Vdovičenko, Martin
core
Temporal Structure in Sensorimotor Variability: A Stable Trait, But What For? [PDF]
Perquin MN +3 more
europepmc +1 more source
Forecasting UNTR Weekly Stock Price using ARFIMA
Predicting stock prices plays a pivotal role in the decision-making processes of organizations and individual investors. This research focuses on the predicting weekly closing stock prices, specifically for UNTR, using the ARFIMA method.
Gabriella Maria Singgih +1 more
core +1 more source
Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal. [PDF]
Bansal IR +4 more
europepmc +1 more source
Model Autoregressive Fractionally Integrated Moving Average (ARFIMA) merupakan pengembangan dari model ARIMA dengan nilai differencing adalah bilangan pecahan.
Mohammad Jefrie Ilham Akbar, 4111415018
core
Forecasting commodity prices: empirical evidence using deep learning tools. [PDF]
Ben Ameur H +4 more
europepmc +1 more source
Pandemic episodes, CO2 emissions and global temperatures. [PDF]
Monge M, Gil-Alana LA.
europepmc +1 more source
Application of an ARFIMA Model to Estimate Hepatitis C Epidemics in Henan, China. [PDF]
Wang Y, Liang Z, Qing S, Liu X, Xu C.
europepmc +1 more source
On the relationship between Bitcoin and other assets during the outbreak of coronavirus: Evidence from fractional cointegration analysis. [PDF]
Bejaoui A, Mgadmi N, Moussa W.
europepmc +1 more source

