Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 …
The accuracy of predicting Consumer Price Index (CPI) in West African economies is a
complex issue influenced by various factors, including COVID-19 and ongoing Russia …
complex issue influenced by various factors, including COVID-19 and ongoing Russia …
Enhancing CO2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root
The prediction of CO 2 emissions is critical for designing sustainable environmental policies
and meeting the Sustainable Development Goals, particularly those related to climate …
and meeting the Sustainable Development Goals, particularly those related to climate …
A hybrid model based on iTransformer for risk warning of crude oil price fluctuations
J Li, Y Guo - Energy, 2024 - Elsevier
In order to reduce the unpredictability of crude oil price fluctuations caused by its
increasingly prominent financial and geopolitical attributes, and to minimize its negative …
increasingly prominent financial and geopolitical attributes, and to minimize its negative …
[HTML][HTML] Evidential Neural Network Model for Groundwater Salinization Simulation: A First Application in Hydro-Environmental Engineering
Groundwater salinization is a crucial socio-economic and environmental issue that is
significant for a variety of reasons, including water quality and availability, agricultural …
significant for a variety of reasons, including water quality and availability, agricultural …
[PDF][PDF] URooTab: Tabular reporting of EViews unit root tests
S Mati - CRAN, 2023 - researchgate.net
URooTab: Tabular Reporting of EViews Unit Root Tests Page 1 URooTab: Tabular Reporting
of EViews Unit Root Tests Sagiru Mati 2023-08-30 Please do not forget to cite the package as …
of EViews Unit Root Tests Sagiru Mati 2023-08-30 Please do not forget to cite the package as …
Econometric and AI-Based Modelling of Nigeria's Interest Rates Based on Fisher Equation
In this study, linear and non-linear models are employed to model the Central Bank Rate
(CBR), Deposit Interest Rate (DIR), Lending Rate (LER), and Treasury Bill Rate (TBR). The …
(CBR), Deposit Interest Rate (DIR), Lending Rate (LER), and Treasury Bill Rate (TBR). The …
Navigating the Dynamics of Brent Crude Oil Prices: Factors, Trends, and Insights.
T KRULICKÝ, A JURA… - Acta Montanistica …, 2024 - search.ebscohost.com
Abstract Accurate Brent Crude Oil price prediction is essential for informed decision-making
and risk control in the global energy market. This paper examines the dynamics of Brent …
and risk control in the global energy market. This paper examines the dynamics of Brent …
[PDF][PDF] The volatility spillover of global oil price uncertainty
This manuscript, for the 1st time, analyses the volatility spillover of oil price uncertainty in the
world using data from oil price uncertainty recently developed by Abiad and Qureshi (2023) …
world using data from oil price uncertainty recently developed by Abiad and Qureshi (2023) …
IMPACT OF OIL SHOCKS ON THE OIL, AGRICULTURAL AND FOOD INDUSTRY-QUANTILE AND OLS REGRESSION
S Bakić - Economics of Agriculture, 2024 - ea.bg.ac.rs
This paper determines the impact of Brent oil shocks on the price of shares of companies
from the oil, agricultural and food industries that includes the period of the COVID-19 …
from the oil, agricultural and food industries that includes the period of the COVID-19 …
Demystifying Knitr Package: Essential Recipes and Easy Steps for Adding Knit-Engines in R
The knitr package provides an avenue for incorporating programming languages and
statistical applications into R Markdown and Quarto document for the sake of reproducibility …
statistical applications into R Markdown and Quarto document for the sake of reproducibility …