|
[1]
|
Proceedings of the International Conference on Cognitive and Intelligent Computing
Cognitive Science and Technology,
2023
DOI:10.1007/978-981-19-2358-6_8
|
|
|
|
|
[2]
|
Maximal overlap discrete wavelet transform Gaussian Process Regression for monthly crude oil price forecasting
The 5TH ISM INTERNATIONAL STATISTICAL CONFERENCE 2021 (ISM-V): Statistics in the Spotlight: Navigating the New Norm,
2023
DOI:10.1063/5.0114063
|
|
|
|
|
[3]
|
A study of univariate forecasting methods for crude oil price
Maritime Business Review,
2023
DOI:10.1108/MABR-09-2021-0076
|
|
|
|
|
[4]
|
Comparison of Time Series Models for Predicting Online Gaming Company Revenue
İstatistik ve Uygulamalı Bilimler Dergisi,
2022
DOI:10.52693/jsas.1195048
|
|
|
|
|
[5]
|
A Mutual Information-Based Network Autoregressive Model for Crude Oil Price Forecasting Using Open-High-Low-Close Prices
Mathematics,
2022
DOI:10.3390/math10173172
|
|
|
|
|
[6]
|
Finance for Sustainability in a Turbulent Economy
Advances in Finance, Accounting, and Economics,
2022
DOI:10.4018/978-1-6684-5580-7.ch001
|
|
|
|
|
[7]
|
Comparison of Time Series Models for Predicting Online Gaming Company Revenue
İstatistik ve Uygulamalı Bilimler Dergisi,
2022
DOI:10.52693/jsas.1195048
|
|
|
|
|
[8]
|
Analysis of Staple Food Price Forecasting Results Using Various Approaches
2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE),
2021
DOI:10.1109/ICEEIE52663.2021.9616763
|
|
|
|
|
[9]
|
A study of univariate forecasting methods for crude oil price
Maritime Business Review,
2021
DOI:10.1108/MABR-09-2021-0076
|
|
|
|
|
[10]
|
Is it possible to accurately forecast the evolution of Brent crude oil prices? An answer based on parametric and nonparametric forecasting methods
Empirical Economics,
2019
DOI:10.1007/s00181-019-01665-w
|
|
|
|
|
[11]
|
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA
Applied Computer Science,
2018
DOI:10.35784/acs-2018-05
|
|
|
|
|
[12]
|
Sales forecasting newspaper with ARIMA: A case study
2018
DOI:10.1063/1.5024076
|
|
|
|
|
[13]
|
Returns and volatility of water investments
Cogent Economics & Finance,
2018
DOI:10.1080/23322039.2018.1438724
|
|
|
|
|
[14]
|
How does the choice of Value-at-Risk estimator influence asset allocation decisions?
Quantitative Finance,
2018
DOI:10.1080/14697688.2018.1459806
|
|
|
|
|
[15]
|
An investigation into the interdependence of global water indices: a VAR analysis
Applied Economics,
2017
DOI:10.1080/00036846.2016.1205725
|
|
|
|
|
[16]
|
Forecasting Foreign Direct Investment to Zambia: A Time Series Analysis
Open Journal of Statistics,
2017
DOI:10.4236/ojs.2017.71010
|
|
|
|
|
[17]
|
Relations between fossil fuel returns and climate change variables using canonical correlation analysis
Energy Sources, Part B: Economics, Planning, and Policy,
2017
DOI:10.1080/15567249.2016.1265615
|
|
|
|
|
[18]
|
Univariate Time-Series Analysis of Second-Hand Car Importation in Zambia
Open Journal of Statistics,
2017
DOI:10.4236/ojs.2017.74050
|
|
|
|
|
[19]
|
Forecasting Sports Popularity: Application of Time Series Analysis
Academic Journal of Interdisciplinary Studies,
2017
DOI:10.1515/ajis-2017-0009
|
|
|
|