Results 181 to 190 of about 74,761 (297)

A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden of diseases 2000-2019. [PDF]

BMC Public Health, 2022
Chen Y, He J, Wang M.
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Adaptive Feeding Robot With Multisensor Feedback and Predictive Control Using Autoregressive Integrated Moving Average-Feed-Forward Neural Network: Simulation Study. [PDF]

JMIR Form Res
Sadeghi-Esfahlani S, Mohaghegh V, Sanaei A, Bilal Z, Arthur N, Shirvani H.   +5 more
europepmc   +1 more source

Temporal trends and implications of acute malnutrition among children under five in Northeast Nigeria: Autoregressive Integrated Moving Average approach

Yusuf Ibrahim, N.O. Nweze, Muddassiru Abubakar   +2 more
openalex   +2 more sources

Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model

, 2021
Dmytro Chumachenko, Ievgen Meniailov, Andrii Hrimov, Vladislav Lopatka, Olha Moroz, Оlena Tolstoluzka   +5 more
openalex   +2 more sources

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Prediksi Jangka Pendek Harga Bitcoin Menggunakan Model Autoregressive Integrated Moving Average (Arima)

Mohamad Mihradi Rusdiawan, Indri Tri Julianto, Wiyoga Baswardono   +2 more
openalex   +2 more sources

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Impact of COVID-19 on the detection of tuberculosis in Guangdong, China based on the autoregressive integrated moving average model: a time-series study. [PDF]

BMJ Open
Wang R, Zhou F, Shi G, Liu Y, Bian Y, Wu H, Zou G.   +6 more
europepmc   +1 more source

Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model (Preprint)

, 2020
Ramesh Singh, Meenu Rani, Akshaya Srikanth Bhagavathula, Ranjit Sah, Alfonso J. Rodríguez‐Morales, Himangshu Kalita, Chintan Nanda, Shashi Sharma, Yagya Datt Sharma, Ali A. Rabaan, Jamal Rahmani, Pavan Kumar   +11 more
openalex   +1 more source