Modelling and predicting electricity consumption in Spain using the stochastic Gamma diffusion process with exogenous factors
暂无分享,去创建一个
[1] Salah Abosedra,et al. Electricity consumption and economic growth, the case of Lebanon , 2009 .
[2] Nuria Rico,et al. APPROXIMATING THE NONHOMOGENEOUS LOGNORMAL DIFFUSION PROCESS VIA POLYNOMIAL EXOGENOUS FACTORS , 2006, Cybern. Syst..
[3] T. W. Anderson,et al. An Introduction to Multivariate Statistical Analysis , 1959 .
[4] Shanlin Yang,et al. Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting in China , 2015 .
[5] A. J. Collins,et al. Introduction To Multivariate Analysis , 1981 .
[6] Luigi M. Ricciardi. On the transformation of diffusion processes into the Wiener process , 1976 .
[7] A. Al-Garni,et al. Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis , 1997 .
[8] Ahmed Nafidi,et al. The Stochastic Rayleigh diffusion model: Statistical inference and computational aspects. Applications to modelling of real cases , 2006, Appl. Math. Comput..
[9] S. Bompadre,et al. A Stochastic Formulation of the Gompertzian Growth Model for in vitro Bactericidal Kinetics: Parameter Estimation and Extinction Probability , 2005, Biometrical journal. Biometrische Zeitschrift.
[10] Li Zhou,et al. On goodness-of-fit testing for ergodic diffusion process with shift parameter , 2012, 1203.6547.
[11] L. Ricciardi,et al. First-passage-time densities for time-non-homogeneous diffusion processes , 1997, Journal of Applied Probability.
[12] Detection, modelling and estimation of non-linear trends by using a non-homogeneous Vasicek stochastic diffusion. Application to CO2 emissions in Morocco , 2012, Stochastic Environmental Research and Risk Assessment.
[13] A. Pascual,et al. Three parameter gamma-type growth curve, using a stochastic gamma diffusion model: Computational statistical aspects and simulation , 2011, Math. Comput. Simul..
[14] Christos H. Skiadas,et al. A Stochastic Logistic Innovation Diffusion Model Studying the Electricity Consumption in Greece and the United States , 1999 .
[15] O. Stramer,et al. On Simulated Likelihood of Discretely Observed Diffusion Processes and Comparison to Closed-Form Approximation , 2007 .
[16] Peter E. Kloeden,et al. On effects of discretization on estimators of drift parameters for diffusion processes , 1996, Journal of Applied Probability.
[17] Erkan Erdogdu. Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey , 2007 .
[18] Ramón Gutiérrez-Sánchez,et al. Electricity consumption in Morocco: Stochastic Gompertz diffusion analysis with exogenous factors , 2006 .
[19] V. Bianco,et al. Analysis and forecasting of nonresidential electricity consumption in Romania , 2010 .
[20] M. Sørensen,et al. The Pearson Diffusions: A Class of Statistically Tractable Diffusion Processes , 2007 .
[21] Ahmed Z. Al-Garni,et al. Modelling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks , 1997 .
[22] Ahmed Nafidi,et al. A τ-power stochastic gamma diffusion process: Computational statistical inference and simulation aspects. A real example , 2012, Appl. Math. Comput..
[23] P. Fearnhead,et al. Exact and computationally efficient likelihood‐based estimation for discretely observed diffusion processes (with discussion) , 2006 .
[24] S. Ross,et al. A theory of the term structure of interest rates'', Econometrica 53, 385-407 , 1985 .
[25] Melvin M. Varughese. Parameter estimation for multivariate diffusion systems , 2009, Comput. Stat. Data Anal..
[26] P. W. Zehna. Invariance of Maximum Likelihood Estimators , 1966 .
[27] I. Ozturk,et al. Electricity consumption and real GDP causality nexus: Evidence from ARDL bounds testing approach for 11 MENA countries , 2011 .
[28] M. Sørensen,et al. Martingale estimation functions for discretely observed diffusion processes , 1995 .
[29] V. Giorno,et al. A stochastic model in tumor growth. , 2006, Journal of theoretical biology.
[30] Mathieu Kessler. Estimation of an Ergodic Diffusion from Discrete Observations , 1997 .
[31] A bivariate stochastic Gamma diffusion model: statistical inference and application to the joint modelling of the gross domestic product and CO2 emissions in Spain , 2014, Stochastic Environmental Research and Risk Assessment.
[32] Kadir Kavaklioglu,et al. Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression , 2011 .
[33] A. G. Nobile,et al. Some remarks on the Rayleigh process , 1986 .
[34] C. Zucca,et al. A Monte Carlo Method for the Simulation of First Passage Times of Diffusion Processes , 2001 .
[35] Ramón Gutiérrez-Sánchez,et al. The trend of the total stock of the private car-petrol in Spain: Stochastic modelling using a new gamma diffusion process , 2009 .