A HYBRID AUTOREGRESSIVE INTEGRATED MOVING AVERAGE-PHGMDH MODEL TO FORECAST CRUDE OIL PRICE
, 2019 Richard Manu Nana Yaw Sarpong-Streetor +4 more
openalex +2 more sources
Trends in Rheumatoid Arthritis Mortality Among Postmenopausal Women in the United States, 1999–2023
iMetaMed, EarlyView.RA‐related mortality among U.S. postmenopausal women has markedly declined since 1999. Despite this overall progress, significant inequalities by race, region, and age highlight ongoing challenges in achieving equitable health outcomes. ABSTRACT Rheumatoid arthritis (RA) disproportionately affects postmenopausal women, who are at an increased risk of ...
Yuhui Zhao +4 more
wiley +1 more source
Forecasting of Milk Production in Northern Thailand Using Seasonal Autoregressive Integrated Moving Average, Error Trend Seasonality, and Hybrid Models. [PDF]
Front Vet Sci, 2021 Punyapornwithaya V +3 more
europepmc +1 more source
Use of a Seasonal Autoregressive Fractionally Integrated Moving Average Model for the Time Series Analysis of Human Brucellosis [PDF]
Yongbin Wang +7 more
openalex +1 more source
Inflation Analysis: An Overview [PDF]
The purpose of this article is to describe how inflation analysis and forecasting has been carried out in the Bank, with particular emphasis on recent research and the new challenges facing the Bank following the launch of the euro on 1 January 1999 ...
Kenny, Geoff +2 more
core
International Studies of Economics, EarlyView.ABSTRACT Communication with the market to guide public expectations has become a pivotal monetary policy instrument for central banks worldwide. Therefore, assessing the efficacy of communication in influencing personal expectations is essential for central banks.
Yuying Jin, Sunyao Xia
wiley +1 more source
Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model. [PDF]
Int J Public Health, 2021 Zhu D, Zhou D, Li N, Han B.
europepmc +1 more source
Forecasting Natural Gas Prices in Real Time
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
Journal of Applied Econometrics, EarlyView.ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
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