[1] س. زحمتکش و م. محمدزاده، مدل بندی داده های فضایی-زمانی با گمشدگی غیرقابل چشم پوشی. مجله مدل سازی پیشرفته ریاضی، ]
.۶۱–۳۹ (۱۳۹۹) (۱)۱۰
[2]م. محمدزاده،آمار فضایی و کاربردهای آن. چاپ سوم، مرکز نشر آثار علمی دانشگاه تربیت مدرس، تهران، ۱۳۹۸
[3] م. عصمتی و م. محمدزاده، پیش گویی فضایی-زمانی میدان های تصادفی نامانا و تفکیک ناپذیر. دومین سمینار آمار فضایی و کاربردهای آن، دانشگاه صنعتی شاهرود، ۱۳۹۸
[4] D. Ghosh and A. Suryawanshi, Approximation of spatio-temporal random processes using tensor decomposition. Communications in Computational Physics, 16(1) ()20147 5–95.
[5] T. Gneiting, Nonseparable, stationary covariance functions for space–time data. Journal of the American Statistical Association, 97(458) (2002) 590–600.
[6] J. Haslett and A.E. Raftery, Space-time modelling with long-memory dependence: Assessing ireland’s wind power resource. Journal of the Royal Statistical Society: Series C (Applied Statistics), 38(1) (1989) 1–21.
[7] F. L. Hitchcock, The expression of a tensor or a polyadic as a sum of products. Journal of Mathematics and Physics, 6(1-4) (1927) 164–189.
[8] T.G. Kolda and B. W. Bader, Tensor decompositions and applications. SIAM review, 51(3) (2009) 455–500.
[9] J.B. Kruskal, Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics. Linear algebra and its applications, 18(2) (1977) 95–138.
[10] P. Lynch, The origins of computer weather prediction and climate modeling. Journal of computational physics, 227(7) (2008) 3431–3444.
[11] E. Serrano, J.J. Gómez-Sanz, J.A. Botía, and J. Pavón, Intelligent data analysis applied to debug complex software systems. Neurocomputing, 72(13-15) (2009) 2785–2795.
[12] S.S. Soman, H. Zareipour, O. Malik, and P. Mandal, A review of wind power and wind speed forecasting methods with different time horizons. In North American Power Symposium 2010, pages 1–8. IEEE, 2010.
[13] L.R. Tucker, Implications of factor analysis of three-way matrices for measurement of change. Problems in measuring change, 15 (1963) 122–137.
[14] S. Zahmatkesh and M. Mohammadzadeh, Bayesian Prediction of spatial data with non-ignorable missingness. Statistical Papers, DOI:10.1007/s00362-020-01186-0, 2020.