175 related articles for article (PubMed ID: 24895666)
41. Dynamic Multiscale Information Spillover among Crude Oil Time Series.
An S
Entropy (Basel); 2022 Sep; 24(9):. PubMed ID: 36141134
[TBL] [Abstract][Full Text] [Related]
42. A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water.
Ahmadianfar I; Jamei M; Chu X
J Contam Hydrol; 2020 Jun; 232():103641. PubMed ID: 32408076
[TBL] [Abstract][Full Text] [Related]
43. AI-HydSu: An advanced hybrid approach using support vector regression and particle swarm optimization for dissolved oxygen forecasting.
Li D; Wang X; Sun J; Yang H
Math Biosci Eng; 2021 Apr; 18(4):3646-3666. PubMed ID: 34198404
[TBL] [Abstract][Full Text] [Related]
44. Hybrid support vector regression and autoregressive integrated moving average models improved by particle swarm optimization for property crime rates forecasting with economic indicators.
Alwee R; Shamsuddin SM; Sallehuddin R
ScientificWorldJournal; 2013; 2013():951475. PubMed ID: 23766729
[TBL] [Abstract][Full Text] [Related]
45. A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events.
Cheng Y; Yi J; Yang X; Lai KK; Seco L
Soft comput; 2022; 26(17):8537-8551. PubMed ID: 35818583
[TBL] [Abstract][Full Text] [Related]
46. Dynamic risk connectedness of crude oil price and sustainable investment in the United States: evidence from DCC-GARCH.
Olasehinde-Williams G; Özkan O; Akadiri SS
Environ Sci Pollut Res Int; 2023 Sep; 30(41):94976-94987. PubMed ID: 37542692
[TBL] [Abstract][Full Text] [Related]
47. Carbon price prediction based on modified wavelet least square support vector machine.
Sun W; Xu C
Sci Total Environ; 2021 Feb; 754():142052. PubMed ID: 32916491
[TBL] [Abstract][Full Text] [Related]
48. Carbon price forecasting based on news text mining considering investor attention.
Pan D; Zhang C; Zhu D; Hu S
Environ Sci Pollut Res Int; 2023 Mar; 30(11):28704-28717. PubMed ID: 36401005
[TBL] [Abstract][Full Text] [Related]
49. Symmetric and asymmetric GARCH estimations of the impact of oil price uncertainty on output growth: evidence from the G7.
Alao RO; Alhassan A; Alao S; Olanipekun IO; Olasehinde-Williams GO; Usman O
Lett Spat Resour Sci; 2023; 16(1):5. PubMed ID: 36876288
[TBL] [Abstract][Full Text] [Related]
50. Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19.
Kumar N; Susan S
Appl Soft Comput; 2021 Oct; 110():107611. PubMed ID: 34518764
[TBL] [Abstract][Full Text] [Related]
51. Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.
Segera D; Mbuthia M; Nyete A
Biomed Res Int; 2019; 2019():4085725. PubMed ID: 31998772
[TBL] [Abstract][Full Text] [Related]
52. Forecasting riverine total nitrogen loads using wavelet analysis and support vector regression combination model in an agricultural watershed.
Ji X; Lu J
Environ Sci Pollut Res Int; 2018 Sep; 25(26):26405-26422. PubMed ID: 29982944
[TBL] [Abstract][Full Text] [Related]
53. A stock market forecasting model combining two-directional two-dimensional principal component analysis and radial basis function neural network.
Guo Z; Wang H; Yang J; Miller DJ
PLoS One; 2015; 10(4):e0122385. PubMed ID: 25849483
[TBL] [Abstract][Full Text] [Related]
54. [Research on variable selection of wheat near-infrared spectroscopy based on latent projective graph].
Huan KW; Zheng F; Liu XX; Cai XL; Cai HX; Wang R; Shi XG
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Nov; 32(11):2962-5. PubMed ID: 23387158
[TBL] [Abstract][Full Text] [Related]
55. Revisiting the Dynamic Response of Chinese Price Level to Crude Oil Price Shocks Based on a Network Analysis Method.
Sun Q; Wang Z; Jia N
Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885171
[TBL] [Abstract][Full Text] [Related]
56. A hybrid model for PM₂.₅ forecasting based on ensemble empirical mode decomposition and a general regression neural network.
Zhou Q; Jiang H; Wang J; Zhou J
Sci Total Environ; 2014 Oct; 496():264-274. PubMed ID: 25089688
[TBL] [Abstract][Full Text] [Related]
57. Forecasting carbon emissions future prices using the machine learning methods.
Shahzad U; Sengupta T; Rao A; Cui L
Ann Oper Res; 2023 Feb; ():1-32. PubMed ID: 36777411
[TBL] [Abstract][Full Text] [Related]
58. An analysis of crude oil prices in the last decade (2011-2020): With deep learning approach.
Sen A; Dutta Choudhury K; Kumar Datta T
PLoS One; 2023; 18(3):e0268996. PubMed ID: 36893097
[TBL] [Abstract][Full Text] [Related]
59. Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm.
Das S; Sahu TP; Janghel RR; Sahu BK
Neural Comput Appl; 2022; 34(1):555-591. PubMed ID: 34413575
[TBL] [Abstract][Full Text] [Related]
60. The dependence and risk spillover between economic uncertainties and the crude oil market: new evidence from a Copula-CoVaR approach incorporating the decomposition technique.
Zhang T; Tang Z
Environ Sci Pollut Res Int; 2023 Oct; 30(47):104116-104134. PubMed ID: 37698792
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
