Results 241 to 250 of about 412,561 (324)

Inflation Forecasting for East Kalimantan Province Using Hybrid Singular Spectrum Analysis- Autoregressive Integrated Moving Average Model

, 2021
Melisa Arumsari, Sri Wahyuningsih, Meiliyani Siringoringo   +2 more
openalex   +2 more sources

A stochastic differential equation framework for gravity wave parametrisation with testing in an idealised setting

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Parametrisations of unresolved gravity waves used in general circulation models can be made more computationally efficient by introducing a stochastic component to the forcing. Additionally, it is believed that intermittency associated with a stochastic parametrisation could be tuned to resemble the intermittency of observed gravity wave sources to ...
K. Xie, M. Ewetola, J. G. Esler
wiley   +1 more source

Property price dynamics and asymmetric effects of economic policy uncertainty: New evidence from the Australian capital cities

Accounting &Finance, Volume 62, Issue 4, Page 4359-4380, December 2022., 2022
Abstract This paper examines the long‐run relationship between residential property prices and economic policy uncertainty (EPU) in seven Australian capital cities. Using the panel nonlinear autoregressive distributed lag model, we analyse the asymmetric effect of EPU on Australian house and apartment (unit) prices over the period 2001–2021. The EPU is
IKM Mokhtarul Wadud, Omar H. M. N. Bashar, Huson Joher Ali Ahmed, William Dimovski   +3 more
wiley   +1 more source

An investigation of income inequality through autoregressive integrated moving average and regression analysis

Healthcare Analytics
Income inequality is a prominent contributor to health disparities in the U.S. As a leading capitalist nation, the U.S. registers the highest healthcare expenditure among developed countries yet grapples with widening income disparities.
John Wang, Zhi Kacie Pei, Yawei Wang, Zhaoqiong Qin   +3 more
doaj  

Forecasting and Effectiveness Analysis of Domestic Airplane Passengers in Yogyakarta Adisutjipto Airport with Autoregressive Integrated Moving Average with Exogeneous (ARIMAX) Model

, 2020
Sarah Khairunnisa, Nusyrotus Sa’dah, Isnani Isnani, Rohmah Artika, Prihantini Prihantini   +4 more
openalex   +2 more sources

Implementation of autoregressive integrated moving average model to predict total electron content from GPS satellite receiver in Bandung

, 2021
Marifatul Nur Yuniati, Agus Sugandha
openalex   +1 more source

Quantum‐Noise‐Driven Generative Diffusion Models

Advanced Quantum Technologies, EarlyView.
Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi, Stefano Martina, Filippo Caruso   +2 more
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

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

Forecasting GDP Movements in Nepal Using Autoregressive Integrated Moving Average (ARIMA) Modelling Process

, 2019
Surya Bahadur Rana
openalex   +2 more sources