Recent developments on the construction of spatio-temporal covariance models
暂无分享,去创建一个
[1] Patrick Brown,et al. Space–time calibration of radar rainfall data , 2001 .
[2] Donald L. Snyder,et al. The statistical analysis of space-time point processes , 1976, IEEE Trans. Inf. Theory.
[3] J. Doob. Stochastic processes , 1953 .
[4] Peter Talkner,et al. Some remarks on spatial correlation function models , 1993 .
[5] Chunsheng Ma,et al. Spatial autoregression and related spatio-temporal models , 2004 .
[6] Eric Renshaw. The Linear Spatial‐Temporal Interaction Process and its Relation to 1/ω‐Noise , 1994 .
[7] A. V. Vecchia. A New Method of Prediction for Spatial Regression Models with Correlated Errors , 1992 .
[8] U. Frisch. Turbulence: The Legacy of A. N. Kolmogorov , 1996 .
[9] G. Matheron. The intrinsic random functions and their applications , 1973, Advances in Applied Probability.
[10] P. Guttorp,et al. Space-time estimation of grid-cell hourly ozone levels for assessment of a deterministic model , 1998, Environmental and Ecological Statistics.
[11] George Christakos,et al. Modern Spatiotemporal Geostatistics , 2000 .
[12] Dennis McLaughlin,et al. Using the Nonstationary Spectral Method to Analyze Flow Through Heterogeneous Trending Media , 1995 .
[13] G. Matheron,et al. THE INTERNAL CONSISTENCY OF MODELS IN GEOSTATISTICS , 1989 .
[14] Jonathan R. Stroud,et al. Dynamic models for spatiotemporal data , 2001 .
[15] L. M. Berliner,et al. Hierarchical Bayesian space-time models , 1998, Environmental and Ecological Statistics.
[16] Pj Northrop,et al. Spatial-temporal rainfall fields: modelling and statistical aspects , 2000 .
[17] L Knorr-Held,et al. Bayesian modelling of inseparable space-time variation in disease risk. , 2000, Statistics in medicine.
[18] Dionissios T. Hristopulos,et al. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus , 1998, Springer US.
[19] I. Rodríguez‐Iturbe,et al. The design of rainfall networks in time and space , 1974 .
[20] M. Fink. Time reversed acoustics , 1997 .
[21] J. R. Wallis,et al. An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields , 1994 .
[22] A. V. Vecchia. Estimation and model identification for continuous spatial processes , 1988 .
[23] Chunsheng Ma,et al. Spatio-Temporal Covariance Functions Generated by Mixtures , 2002 .
[24] P. Whittle. ON STATIONARY PROCESSES IN THE PLANE , 1954 .
[25] G. Christakos. Space transformations in the study of multidimensional functions in the hydrologic sciences , 1986 .
[26] P. Whittle,et al. ON THE VARIATION OF YIELD VARIANCE WITH PLOT SIZE , 1956 .
[27] P. Whittle,et al. Topographic correlation, power-law covariance functions, and diffusion , 1962 .
[28] M. Fuentes. Interpolation of nonstationary air pollution processes: a spatial spectral approach , 2002 .
[29] José M. Angulo,et al. Stochastic fractional-order differential models with fractal boundary conditions , 2001 .
[30] Rangasami L. Kashyap,et al. Characterization and estimation of two-dimensional ARMA models , 1984, IEEE Trans. Inf. Theory.
[31] N. Campbell,et al. COVARIANCE MODELS FOR LATTICE DATA , 1989 .
[32] C. F. Sirmans,et al. Directional Rates of Change Under Spatial Process Models , 2003 .
[33] C. R. Dietrich,et al. A Simple and Efficient Space Domain Implementation of the Turning Bands Method , 1995 .
[34] V. Heine. MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES , 1955 .
[35] Paul J. Northrop,et al. A clustered spatial-temporal model of rainfall , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[36] N. Cressie,et al. Classes of nonseparable, spatio-temporal stationary covariance functions , 1999 .
[37] V. Isham,et al. Spatiotemporal storm structure and scaling property analysis for modeling , 1996 .
[38] Timothy C. Haas,et al. Statistical assessment of spatio-temporal pollutant trends and meteorological transport models , 1998 .
[39] A. Yaglom. Correlation Theory of Stationary and Related Random Functions I: Basic Results , 1987 .
[40] M. Bartlett. The statistical analysis of spatial pattern , 1974, Advances in Applied Probability.
[41] M. Stein. Space–Time Covariance Functions , 2005 .
[42] José M. Angulo,et al. Fractional random fields on domains with fractal boundary , 2004 .
[43] A. Frigessi,et al. Stationary space-time Gaussian fields and their time autoregressive representation , 2002 .
[44] Erik H. Vanmarcke,et al. Random Fields: Analysis and Synthesis. , 1985 .
[45] D. E. Myers,et al. Nonseparable Space-Time Covariance Models: Some Parametric Families , 2002 .
[46] Paul S. P. Cowpertwait,et al. A generalized spatial-temporal model of rainfall based on a clustered point process , 1995, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.
[47] J. Chilès,et al. Geostatistics: Modeling Spatial Uncertainty , 1999 .
[48] Dean S. Oliver,et al. Moving averages for Gaussian simulation in two and three dimensions , 1995 .
[49] T. Gneiting. Nonseparable, Stationary Covariance Functions for Space–Time Data , 2002 .
[50] C. Heyde. On a class of random field models which allows long range dependence , 1990 .
[51] Timothy C. Haas,et al. New systems for modeling, estimating, and predicting a multivariate spatio–temporal process , 2002 .
[52] Dionissios T. Hristopulos,et al. Methods for generating non-separable spatiotemporal covariance models with potential environmental applications , 2004 .
[53] U. Frisch,et al. Negative eddy viscosity in isotropically forced two-dimensional flow: linear and nonlinear dynamics , 1994, Journal of Fluid Mechanics.
[54] Chunsheng Ma,et al. Linear combinations of space-time covariance functions and variograms , 2005, IEEE Transactions on Signal Processing.
[55] Phaedon C. Kyriakidis,et al. Geostatistical Space–Time Models: A Review , 1999 .
[56] A. Brix,et al. Spatio‐temporal Modelling of Weeds by Shot‐noise G Cox processes , 2002 .
[57] N. Cressie,et al. A dimension-reduced approach to space-time Kalman filtering , 1999 .
[58] A.J. Paulraj,et al. Characterization of space-time focusing in time-reversed random fields , 2005, IEEE Transactions on Antennas and Propagation.
[59] Noel A Cressie,et al. Correction - Classes of nonseparable, spatio-temporal stationary covariance functions (vol 94, pg 1330, 1999) , 2001 .
[60] J L Thomas,et al. Optimal focusing by spatio-temporal inverse filter. I. Basic principles. , 2001, The Journal of the Acoustical Society of America.
[61] M. Fuentes. Spectral methods for nonstationary spatial processes , 2002 .
[62] A three-dimensional unilateral autoregressive lattice process , 1997 .
[63] I. P. Shkarofsky,et al. Generalized turbulence space-correlation and wave-number spectrum-function pairs , 1968 .
[64] L. Mark Berliner,et al. Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds , 2001 .
[65] M. Fink,et al. Time reversal of ultrasonic fields. I. Basic principles , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[66] A. V. Vecchia. A general class of models for stationary two-dimensional random processes , 1985 .
[67] Chunsheng Ma. Spatio-temporal stationary covariance models , 2003 .
[68] P. Brown,et al. Blur‐generated non‐separable space–time models , 2000 .
[69] José M. Angulo,et al. Fractional Generalized Random Fields on Bounded Domains , 2003 .
[70] Richard H. Jones,et al. Models for Continuous Stationary Space-Time Processes , 1997 .
[71] M. Kelbert,et al. Fractional random fields associated with stochastic fractional heat equations , 2005, Advances in Applied Probability.
[72] Chunsheng Ma. Semiparametric spatio-temporal covariance models with the ARMA temporal margin , 2005 .
[73] Chunsheng Ma,et al. Families of spatio-temporal stationary covariance models , 2003 .