D. Posa

发表

Conditioning of the stationary kriging matrices for some well-known covariance models

D. Posa, 1989 .

Characteristic behavior and order relations for indicator variograms

Donato Posa, Andre G. Journel, A. Journel, 1990 .

Strict positive definiteness in geostatistics

D. Posa, S. De Iaco, S. Iaco, 2018, Stochastic Environmental Research and Risk Assessment.

Space–time analysis using a general product–sum model

D. Myers, D. Posa, S. D. Iaco, 2001 .

Estimating and modeling space–time correlation structures

D. Myers, D. Posa, L. Cesare, 2001 .

Wind velocity prediction through complex kriging: formalism and computational aspects

Donato Posa, D. Posa, S. De Iaco, 2015, Environmental and Ecological Statistics.

Characteristics of some classes of space–time covariance functions

Donato Posa, Donald E. Myers, S. De Iaco, 2013 .

FORTRAN programs for space-time modeling

Donato Posa, Donald E. Myers, D. Myers, 2002 .

Space-time radial basis functions

Donato Posa, Donald E. Myers, S. De Iaco, 2002 .

A simulation technique of a non-Gaussian spatial process

Donato Posa, D. Posa, L. Cesare, 1995 .

On Some Characteristics of Gaussian Covariance Functions

D. Posa, S. De Iaco, C. Cappello, 2020, International Statistical Review.

Complex-Valued Random Fields for Vectorial Data: Estimating and Modeling Aspects

D. Posa, S. D. Iaco, M. Palma, 2013, Mathematical Geosciences.

Positive and negative non-separability for space–time covariance models

Donato Posa, S. De Iaco, D. Posa, 2013 .

Choosing suitable linear coregionalization models for spatio-temporal data

D. Posa, S. De Iaco, M. Palma, 2019, Stochastic Environmental Research and Risk Assessment.

Testing the type of non-separability and some classes of space-time covariance function models

D. Posa, S. De Iaco, C. Cappello, 2017, Stochastic Environmental Research and Risk Assessment.

A general procedure for selecting a class of fully symmetric space‐time covariance functions

D. Posa, S. De Iaco, M. Palma, 2016 .

Spatio-temporal geostatistical modeling for French fertility predictions

D. Posa, S. D. Iaco, M. Palma, 2015 .

A non-parametric bivariate entropy estimator for spatial processes

M. Rossi, D. Posa, 1992 .

The variogram of the uniform transform of a random field

D. Posa, L. Cesare, 1996 .

Spatial Autocorrelation

D. Posa, S. De Iaco, 2021, Encyclopedia of Mathematical Geosciences.

Limiting stochastic operations for stationary spatial processes

D. Posa, 1991 .

A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy

D. Posa, S. De Iaco, S. Maggio, 2019 .

Advances in Spatio-Temporal Modeling and Prediction for Environmental Risk Assessment

D. Posa, S. D. Iaco, M. Maggio, 2012 .

Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue

D. Posa, S. De Iaco, M. Palma, 2012, AStA Advances in Statistical Analysis.

A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy

D. Posa, S. De Iaco, S. Maggio, 2018, Social Indicators Research.

A new procedure for fitting a multivariate space-time linear coregionalization model

D. Posa, S. D. Iaco, M. Palma, 2011 .

Modeling and prediction of multivariate space-time random fields

S. De Iaco, Monica Palma, D. Posa, 2005, Comput. Stat. Data Anal..

Space-time variograms and a functional form for total air pollution measurements

S. De Iaco, D. Posa, D. E. Myers, 2002, Comput. Stat. Data Anal..

Towards an automatic procedure for modeling multivariate space-time data

S. De Iaco, S. Maggio, Monica Palma, 2012, Comput. Geosci..

Nonseparable Space-Time Covariance Models: Some Parametric Families

D. E. Myers, D. Posa, D. Myers, 2002 .

The indicator formalism in spatial statistics

D. Posa, 1992 .

Robustness of Kriging weights to non-bias conditions

D. Posa, D. Marcotte, 1992 .

Product‐sum covariance for space‐time modeling: an environmental application

Donato Posa, Donald E. Myers, D. Myers, 2001 .

Models for the difference of continuous covariance functions

D. Posa, 2021, Stochastic Environmental Research and Risk Assessment.

Geostatistical modeling of dissolved oxygen distribution in estuarine systems

Mario E. Rossi, Donato Posa, M. Rossi, 1991 .

Parametric families for complex valued covariance functions: Some results, an overview and critical aspects

Donato Posa, D. Posa, 2020 .

covatest: An R Package for Selecting a Class of Space-Time Covariance Functions

Claudia Cappello, Sandra De Iaco, Donato Posa, 2020, Journal of Statistical Software.

Strict Positive Definiteness of a Product of Covariance Functions

D. E. Myers, D. Posa, D. Myers, 2011 .

Total Air Pollution And Space-Time Modelling

Donato Posa, Donald E. Myers, S. De Iaco, 2001 .

Modeling spatio-temporal complex covariance functions for vectorial data

D. Posa, S. De Iaco, C. Cappello, 2022, Spatial Statistics.

Modeling Ocean Currents Through Complex Random Fields Indexed in Time

D. Posa, S. De Iaco, C. Cappello, 2020, Mathematical Geosciences.

Wind velocity prediction through complex kriging: formalism and computational aspects

D. Posa, Sandra De Iaco, 2016, Environmental and Ecological Statistics.

Covariance functions and models for complex-valued random fields

M. Palma, D. Posa, D. Posa, 2003 .

A simple description of spatial-temporal processes

Donato Posa, D. Posa, 1993 .

Predicting spatio-temporal random fields: Some computational aspects

S. De Iaco, D. Posa, D. Posa, 2012, Comput. Geosci..

FORTRAN programs for space-time multivariate modeling and prediction

S. De Iaco, Monica Palma, D. Posa, 2010, Comput. Geosci..

On strict positive definiteness of product and productsum covariance models

Donato Posa, Donald E. Myers, S. De Iaco, 2011 .

Measuring Departure from Gaussian Assumptions in Spatial Processes

M. Rossi, D. Posa, 1992 .

Spatial-Temporal Modeling of SO2 in Milan District

Donato Posa, Donald E. Myers, D. Myers, 1997 .

Positive definite functions, stationary covariance functions, and Bochner’s theorem: Some results and a critical overview

D. Posa, 2023, Communications in Statistics - Theory and Methods.

A latent variables based-model for spatiotemporal environmental analysis

D. Posa, M. Palma, S. Iaco, 2013 .

The Linear Coregionalization Model and the Product–Sum Space–Time Variogram

D. E. Myers, D. Posa, D. Posa, 2003 .