Results 231 to 240 of about 72,436 (339)

Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method. [PDF]

Biomed Res Int, 2020
Attanayake AMCH, Perera SSN.
europepmc   +1 more source

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

Influenza time series prediction models in a megacity from 2010 to 2019: Based on seasonal autoregressive integrated moving average and deep learning hybrid prediction model. [PDF]

Chin Med J (Engl)
Yang J, Yang L, Li G, Du J, Ma L, Zhang T, Zhang X, Yang J, Feng L, Yang W, Wang C.   +10 more
europepmc   +1 more source

Visualizing Causal Interactions Across the 2030 Agenda Pillars: Mapping Priorities for Integrated Policy Action

Sustainable Development, EarlyView.
ABSTRACT We examine the interconnections between the five pillars of the 2030 Agenda, which we constructed using partial synthetic indices of the sustainable development goals (SDGs). We use time series of the 169 targets corresponding to the 17 SDGs from Eurostat, covering the period from 2000 to 2021 for 28 countries.
Najat Bazah, Antonio Jesús Sánchez‐Fuentes   +1 more
wiley   +1 more source

Concentration of Political Power and Adaptation to Climate Change in Developing Countries: Evidence Using the Quantile Regression Method

Sustainable Development, EarlyView.
ABSTRACT The purpose of this study is to examine the effect of constitutional power concentration on adaptation to climate change in 113 countries observed between 1995 and 2023 using the quantile regression method. The results reveal that the concentration of constitutional power hinders countries' adaptation to climate change through inequalities ...
Simplice A. Asongu, Cherif Abdramane
wiley   +1 more source

Forecasting SGD-INR Exchange Return: An application of Autoregressive Integrated Moving Average

, 2022
Sunil Kumari, Jaya Gupta
openalex   +2 more sources

Prioritization of the Sustainable Development Goals: Developing and Testing a Novel Framework Under Varying Geographic Scales

Sustainable Development, EarlyView.
ABSTRACT This study develops and tests a novel prioritization framework for the Sustainable Development Goals (SDGs) under varying geographic scales (regional, sub‐regional, national), focusing on the Middle East and North Africa (MENA) region as a pilot case.
Lea Issa, Mutasem El Fadel
wiley   +1 more source

Exploring the Dynamics of Hemorrhagic Fever with Renal Syndrome Incidence in East China Through Seasonal Autoregressive Integrated Moving Average Models. [PDF]

Infect Drug Resist, 2020
Shi F, Yu C, Yang L, Li F, Lun J, Gao W, Xu Y, Xiao Y, Shankara SB, Zheng Q, Zhang B, Wang S.   +11 more
europepmc   +1 more source

FORECASTING INDONESIA COMPOSITE INDEX USING HYBRID AUTOREGRESSIVE INTEGRATED MOVING AVERAGE-DOUBLE RANDOM FOREST MODEL

Andika Putri Ratnasari, Luthfia Hanun Yuli Arini   +1 more
openalex   +2 more sources

The Significance of Structural Transformation for Poverty Alleviation in Intergovernmental Authority on Development

Sustainable Development, EarlyView.
ABSTRACT How important is structural transformation for poverty reduction in the region of the Intergovernmental Authority on Development? The novelty of the study lies in examining the relationship between structural transformation and poverty in the Intergovernmental Authority on Development (IGAD) region using a sectoral analysis with a focus on ...
Freeman Munisi Mateko, Taffere Tesfachew, Christina Wolf   +2 more
wiley   +1 more source