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Emilio - Porcu -

Professor

Universidad Técnica Federico Santa María

Valparaiso, Chile

Líneas de Investigación


• Statistics and Stochastic Processes; with applications to Petroleum Engineering, Mining, Atmospheric, Environmental and Earth Sciences, and Economics • Space–time processes, geostatistics, point processes. • Positive definite functions; Variogram

Educación

  •  Mathematics, University of Sassari. Italia, 1999
  •  Estadística, UNIVERSITA DEGLI STUDI DI MILANO. Italia, 2004

Experiencia Académica

  •   Professor Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaiso, Chile

    2013 - A la fecha

  •   Full Professor Full Time

    UNIVERSIDAD DE VALPARAISO

    Sciences

    Valparaiso, Chile

    2012 - 2013

  •   Associate Professor Full Time

    Universidad de Castilla-La Mancha

    Ciudad Real, España

    2010 - 2012

  •   Research Fellow Full Time

    Universitat Goettingen

    Göttingen, Alemania

    2009 - 2010

  •   Post Doc Full Time

    University Jaume I

    Castellón, España

    2005 - 2008

  •   Profesor Adjunto Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaiso, Chile

    2012 - A la fecha

Formación de Capital Humano


1) Student Supervision Experience
Supervision of Undergraduate Research:
• Giuseppe Demuro, University of Sassari (Lucia Pozzi supervisor, Emilio Porcu co-supervisor)
• Silvia Tilloca, University of Sassari (Emilio Porcu supervisor)
Supervision of Master Thesis:
• Enrico Foscolo, University of Bologna (Emilio Porcu co-supervisor)
• Carlos Ayad, University of Castellon (Emilio Porcu supervisor)
• Cecilia López Vidal, Universidad de Santiago de Chile (Emilio Porcu supervisor)
• Alberto Cordoba Caro, University of Castellon (Emilio Porcu supervisor)
Supervision of PhD Thesis:
• Moreno Bevilacqua, University of Padova (Emilio Porcu co-supervisor)
• Carlos Alonso Malaver, University of Bogota (Emilio Porcu supervisor)
• Alessandra Farinas, Venezuela (in preparation). (Emilio Porcu supervisor)
• Enner Mendoza, Venezuela (in preparation).
• Daira Velandia, Colombia (in preparation, co-supervision with Moreno Bevilacqua).
• Freddy Lopez, Venezuela (in preparation). Supervisor.
• Ahmed, Egipt (in preparation). I am cosupervisor

2) Courses
• Courses Taught at the University of Sassari:
Basic Statistics: Academic year 1999/2000, 2000/2001
Economic Statistics: Academic year 2002/2003
• Courses Taught at the University of Milano
Basic Statistics: Academic year 2001/2002
Economic Statistics: Academic year 2001/2002
• Courses Taught at the University of Bergamo
Basic Statistics: Academic year 2001/2002 and 2002/2003
• Courses Taught at the University of Castellon
Basic Statistics: Academic year 2005/2006
Psychostatistics: Academic year 2006/2007.
• Courses Taught at the University of Santiago de Chile
Stochastic Processes: Academic year 2007/2008
Multivariate Statistics: Academic year 2007/2008
• Courses Taught at the University of Castilla la Mancha
Statistical Inference: Academic year 2009/2010
Multivariate Statistics: Academic year 2009/2010
Probability Theory: Academic year 2010/11
• Courses Taught at the University of Valparaiso
Introducción a la Estadística Espacio Temporal. Undergraduate Course.
Characteristic functions in R^n. For PhD students.
Measure Theory for PhD students.
Research Lab. For PhD students.
• Courses Taught at the University Santa Maria
Multivariate Analisis, for undergraduate students.
Probability Theory, for PhD students.
Probability and Statistics for Engineers.
Statistical Inference, undergraduate.
Stochastic Processes, undergraduate.
Spatial Statistics, undergraduate.
Probability Theory and Stochastic Processes, undergraduate.


Difusión y Transferencia


Keynote Speaker at the National Meeting of French Statisticians. June.
Keynote Speaker at TIES-GRASPA Conference on Climate and Environment, July.
Keynote Speaker at X ENAMA, Rio do Janeiro, Brazil, November. Keynote Speaker at LACSC, Porto Alegre, Brazil, July.
Invited Seminar at the University of Copenhaghen, May.
Invited Seminar at University of Saint Andrews, July
• Conference METMA in Valencia, June.
• Invited Seminar at University Federico Secondo, Naples, January.
• Invited Seminar at University la Sapienza, Roma, January.
• Invited Seminars at University Milano Bicocca, January.
• Invited Seminars at University of Bergamo, January.
• Invited Seminar in Avignon at INRA.
• Invited Seminar a HITS at Heildeberg.
• Invited Course in Advanced Geostatistics at University of Zurich: may.
2015
• Invited lecture at the University of Tel Aviv, june
• Invited lecture at the University of Aalborg, june.
• Invited lecture at the University of Trondheim, june.
• Invited lecture at the University Jaume I, Spain, june.
• Invited Conference in Concepci ?on, October.
• Invited Conference in Buenos Aires, November.
• Invited Conference in Dubai, October.
• Invited Cours in Geostatistics at UNAM, Bogota, November.
2014
• Invited lecture at the University of Tel Aviv, january.
• Invited lecture at the University of Copenhaghen, january.
• Invited lecture at the University of Aalborg, january.
• Invited lecture at the University of Aarhus, january.
• Invited lecture at the University La Sapienza, Rome, january.
• Invited Conference at the University Nacional, Cartagena de Indias, april.
• Invited Conference at KAUST, Saudi Arabia.
• Invited Conference at the University of Padova, may.
• Invited Lecture at School of Mines, Colorado, may.
• Invited Conference at University Bio Bio, Concepci ?on, September.
17
A.5 Invited Conference and Workshop LectuAres APPENDIX A: SCIENTIFIC PUBLICATIONS
• Invited Conference at Belo Horizonte, Brazil.
• Invited Conference at the University Nacional, M ?exico, october.
• Invited Cours in Geostatistics at UPEM, Puebla, M ?exico, october.
2013
• Invited Lecture at the University of Sassari, Italy. January.
• Invited Lecture at the University of Padova, Italy. January.
• Invited Lecture at the University of Bergamo, Italy. January.
• Invited Conference at JSM Montreal. August.
• Invited Conference at Canazei, Approximation Theory. September.
• Invited Conference at SIS Italian meeting, June.
• Invited Conference in Concepcion, Chile, May, June and September.
• Santiago de Chile, Pontificia Universidad Cat ?olica.
• Invited lecture at the University of Padova, December
• Invited lecture at the University of Venezia, December
2012
• Invited Lecture at the University of Sassari, Italy. January.
• Invited Lecture at the Universidade do Parano, Brasil. April.
• Invited Lecture at NCAR, Boulder, Colorado, USA. April.
• Invited Lecture at Kansas State University, Kansas. April.
• Invited Conference in Bucaramanga, Colombia. July.
• Invited Course in Cartagena de Indias, Colombia. July.
2011
• Conferencia de la Universidad Nacional de Colombia, Medellin. November.
• Conference ODE on design of experiment, september, Vienna
• Joint Statistical Meeting in Miami, august.
• Conferencia de la Universidad Nacional de Colombia, Bogota, Colombia; july.
• Invited Seminar at the University of Bergamo, Milan, Italy.
• Invited Seminar at the INRA Avignon, France.
• Invited Seminar at the Koc Universitesi, Instambul, Turkey.
18
A.5 Invited Conference and Workshop LectuAres APPENDIX A: SCIENTIFIC PUBLICATIONS
• Invited Speaker at the Conference of the Numerische Mathematische Institut in Agen, Ger- many.
• Invited Seminar at the University of Sassari, Italy.
2010
• METMA V, Santiago del Compostela, July 2010.
• Spring School of Toledo: Space-time Statistics for Environmental Processes, March 2010
2009
• XXXI Congreso Nacional de Estad ??stica e Investigacion Operativa. Murcia, Spain, 10-13 February, 2009.
• First International Conference on Quantitative Methods in Economics, QME’2009. Lodz, Poland, 18-20 June, 2009.
• TIES 2009-the 20th Annual Conference of The International Environmetrics Society and Graspa Conference 2009. Bologna, Italy, 5-9 July, 2009.
• V Congreso Internacional de Historia de la Estad ??stica y de la Probabilidad. Santiago de Compostela, Spain, 17-18 September, 2009.
• Riunione Satellite SIS, Pescara, September 2009.
2008
• European Geosciences Union General Assembly 2008. Vienna, Austria, 13-18 April 2008.
• 7th French-Danish Workshop on Spatial Statistics and Image Analysis in Biology. Toulouse,
France, 13-16 May 2008.
• International Workshop on Spatio-Temporal Modelling (METMA4). Algher, Sardinia, Italy, 24-26 September 2008.
2007
• The 2007 Taipei International Statistical Symposium and ICSA International Conference. Academia Sinica, Taipei, Taiwan, 25-27 June 2007.
• 18th annual meeting of the International Environmetrics Society, TIES-2007. Mikulov, Czech Republic, 16-20 August, 2007.
• Sco2007.UniversitA ? Ca’ Foscari, Department of Statistics. Venice, Italy, 6-8 September 2007.
• XXX Congreso Nacional de Estad ??stica e Investigacion Operativa-SEIO 2007. Valladolid, Spain, 25-28 September 2007.


Premios y Distinciones

  •   Habilitation to Full Professorship in the Italian Accademy

    Universidad de Padova

    Italia, 2014

    Habilitation to "Full Professor”, called "Idoneità a professore di prima fascia in Statistica"

  •   Stuart Hunter Lecture

    International Statistical Institure

    Italia, 2017

    Stuart Hunter Lecture.

  •   Advance Lecturer

    Kansas State University

    Estados Unidos, 2011

    Premio otorgado por la Universidad de Kansas

  •   Adjoint Professorship

    University of San Diego

    Chile

    Reconocimiento otorgado por la Univesidad de San Diego.


 

Article (157)

A novel software application for providing an improved cross-validation of variogram models.
Circularly symmetric fractional Brownian motion
Determinantal point process models on the sphere
Discussion to the paper by Gelman and Hering. T
Multivariate Versions of Walks Through Dimensions and Schoenberg measures.
Seismomatics
Seismomatics: Space–Time Analysis of Natural or Anthropogenic Catastrophes
Spatio-Temporal Analysis with Short and Long-Memory Dependence: A State-Space Approach.
Flexible Class of Non-separable Cross-Covariance Functions for Multivariate Space-Time Data
Application of extreme learning machine for estimation of wind speed distribution
Composite likelihood inference for multivariate Gaussian random fields.
Covariance tapering for multivariate Gaussian random fields estimation
From Schoenberg Coefficients to Schoenberg functions
Likelihood-based inference for multivariate space-time wrapped-Gaussian fields
Multivariate Versions of Walks Through Dimensions and Schoenberg measures
Combining Euclidean and composite likelihood for binary spatial data estimation.
Elastic Rods and Shear Beams with Random Field Properties under Random Field Loads: Fractal and Hurst Effects
Multivariate and multiradial Schoenberg measures with their dimension walks
On the flexibility of multivariate covariance models
On the flexibility of multivariate covariance models.
Spatial prediction for infinite-dimensional compositional data
Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere , DOI: 10.1080/01621459.2015.1072541
Classes of compactly supported covariance functions for multivariate random fields.
Bernoulli-Euler beams with random field properties under random field loads: fractal and Hurst effects
Equivalence of Gaussian Measures for Multivariate Gaussian random fields
Equivalence of Gaussian measures of multivariate random fields
Euclidean Likelihoods for spatial data.
Extensions of object oriented data analysis
Gaussian Random Fields: Escaping from Isotropic, Stationary and non negative covariance functions
Generalized Askey functions and their walks through dimensions
Multivariate Spartan spatial random field models
Nonseparable stationary anisotropic space-time covariance functions.
Valid covariance models for the analysis of geographical genetic variation
A Note on the paper by Frick, Munk and Sieling
Responses of first-order dynamical systems to Matérn, Cauchy or Dagum noises
Addendum to ”From Schoenberg to Pick-Nevanlinna: towards a complete picture of the variogram class”
Comment on the paper ”How to find an appropriate clustering for mixed type variables with application to socio-economic stratification”
Dimension walks through Schoenberg spectral measures
Dimension walks through Schoenberg spectral measures.
Discussion on the paper by Hampson and Jennison
Generalized Askey Functions and their walks through dimensions
Optimal designs for some stochastic processes whose covariance is a function of the mean
Optimal designs for some stochastic processes whose covariance is a function of the mean
Radial basis functions with compact support for multivariate geostatistics
Radial basis functions with compact support for multivariate geostatistics
Study of spatial relationships between two sets of variables: a nonparametric approach
Vector Spartan Spatial Random Field Models
Discussion to the paper ”Experimental designs for identifying causal mechanisms” by K. Imai, D. Tingley and T. Yamamoto. J. R
Discussion to the paper: Statistical methods for healthcare regulation: rating, screening and surveillance, by Spiegelhalter, D., Sherlaw-Johnson, C., Bardsley, M., Blunt, I., Wood, C. & Grigg, O.
Discussion to the paper: Vignettes and health systems responsiveness in cross-country comparative analyses
Discussion to the paper: ”Optimum design of exper- iments for statistical inference” by Gilmour and Trinca
Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach
Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach
New classes of spectral densities for lattice processes and random fields built from simple univariate marginals
Probabilistic index models, by Thas, O., De Neve, J., Clement, L. & and Ottoy, J-P.
Radial basis functions for multivariate geostatistics
Characterization theorems for some classes of covariance functions associated to vector valued random fields
Characterization theorems for some classes of covariance functions associated to vector valued random fields
Characterization theorems for the Gneiting class of covariance functions
Comment on the paper by Lindgren, Rue and Lindstrom
Compactly supported space-time covariance functions
From Schoenberg to Pick-Nevanlinna: towards a complete picture of the variogram class
From Schoenberg to Pick-Nevanlinna: towards a complete picture of the variogram class
Predicting Genetic Values: a Kernel-Based Best Linear Unbiased Prediction with Genomic Data
The Dagum and auxiliary covariance families: towards reconciling two-parameter models that separate fractal dimension and Hurst effect
Continuous spatio-temporal dynamics of stochastic processes
Features detection in spatial point processes via cluster and MDS techniques
Functional equations related to a problem of reducibility of non-stationary correlation functions to stationary ones
Mortality risk assessment through stationary space-time covariance functions
Quasi-arithmetic means of covariance functions with potential applications to space-time data
Spatio-temporal stochastic modelling: environmental and health processes
Weighted composite likelihood- based tests for space-time separability of covariance functions
Archimedean spectral densities for nonstationary space- time Geostatistics
Spatial and spatio-temporal dependence of the periodogram for regularly spaced data
Modelling residuals dependence in dynamic life tables: a geostatistical approach.
New classes of covariance and spectral density functions for spatio-temporal modelling
On potentially negative space time covariances obtained as sum of products of marginal ones
Recent advances to model anisotropic space-time data
The Dagum family of isotropic correlation functions
Covariance functions which are stationary or nonstationary in space and stationary in time.
A kernel-based method for nonparametric estimation of variograms
A note on decoupling of local and global behaviour for the Dagum random field
Covariance functions which are stationary or nonstationary in space and stationary in time
Detecting features in spatial point processes with clutter via local indicators of spatial association
Detecting features in spatial point processes with clutter via local indicators of spatial association
Fitting negative spatial covariances to geothermal field temperatures in Nea Kessani (Greece)
Geostatistical analysis through spectral techniques: some words of caution
La descente et la mont ́ee ́etendues: the spatially d- anisotropic and the spatiotemporal case
Mixture-based modeling for space-time data
Modelling spatio-temporal data: a new variogram and covariance structure proposal
Nonseparable stationary anisotropic space-time covariance functions
Mixture-based modeling for space-time data
Nonstationary matrix covariances: Compact support, long range dependence and adapted spectra
A Flexible Class of Non-separable Cross-Covariance Functions for Multivariate Space-Time Data
A kernel-based method for nonparametric estimation of variograms
A note on decoupling of local and global behaviour for the Dagum random field
A Note on the paper by Frick, Munk and Sieling
Addendum to "From Schoenberg to Pick-Nevanlinna: towards a complete picture of the variogram class"
An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields
Archimedean spectral densities for nonstationary space-time Geostatistics
Bernoulli-Euler beams with random field properties under random field forcings: fractal and Hurst effects,
Comment on the paper "How to find an appropriate clustering for mixed type variables with application to socio-economic stratification"
Comment on the paper by Lindgren, Rue and Lindstrom
Continuous spatio-temporal dynamics of stochastic processes
Covariance functions which are stationary or nonstationary in space and stationary in time
Determinantal point process models on the sphere
Discussion of the paper "How to find an appropriate clustering for mixed type variables with application to socio-economic variables
Discussion of the paper "How to find an appropriate clustering for mixed type variables with application to socio-economic variables" by Hennig C. and Liao, T. F.
Discussion of the paper “How to find an appropriate clustering for mixed type variables with application to socio-economic variables” by Hennig C. and Liao, T. F.
Discussion to the paper "Experimental designs for identifying causal mechanisms" by K. Imai, D. Tingley and T. Yamamoto
Discussion to the paper: "Optimum design of experiments for statistical inference" by Gilmour and Trinca
Discussion to the Paper: Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the Akaike information criterion - Bayesian information criterion dilemma by van Erven, Gr{\"u}nwald, de Rooij
Discussion to the Paper: Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the Akaike information criterion – Bayesian information criterion dilemma by van Erven, Gru ̈nwald, de Rooij
Discussion to the paper: Probabilistic index models, by Thas, O., De Neve, J., Clement, L. $\&$ and Ottoy, J-P
Discussion to the paper: Statistical methods for healthcare regulation: rating, screening and surveillance, by Spiegelhalter, D., Sherlaw-Johnson, C., Bardsley, M., Blunt, I., Wood, C. $\&$ Grigg, O.
Discussion to the paper: Vignettes and health systems responsiveness in cross-country comparative analyses.
Elastic rods and shear beams with random field properties under random field loads: fractal and Hurst effects
Features detection in spatial point processes via cluster and MDS techniques
Fitting negative spatial covariances to geothermal field temperatures in Nea Kessani (Greece)
Functional equations related to a problem of reducibility of non-stationary correlation functions to stationary ones
Gaussian Random Fields: Escaping from Isotropic, Stationary and non negative covariance functions
Geostatistical analysis through spectral techniques: some words of caution
Introduction to Space--Time processes for Environmental Sciences
La descente et la mont\'ee \'etendues: the spatially d-anisotropic and the spatiotemporal case.
Likelihood-based inference for multivariate space-time wrapped-Gaussian fields
Modelling residuals dependence in dynamic life tables: a geostatistical approach
Modelling spatio-temporal data: a new variogram and covariance structure proposal
Modified Maximum Likelihood Estimation in Autoregressive Processes with Generalized Exponential Innovations
Mortality risk assessment through stationary space-time covariance functions
Multivariate and Multiradial Schoenberg Measures with their Dimension Walk
New classes of covariance and spectral density functions for spatio-temporal modelling
New classes of spectral densities for lattice processes and random fields built from simple univariate marginals
Nonseparable stationary anisotropic space-time covariance functions
Nonseparable stationary anisotropic space-time covariance functions. Stochastic Environmental Research and Risk Assessment
Nonstationary matrix covariances: Compact support, long range dependence and adapted spectra
On a nonlinear Birnbaum--Saunders model based on a bivariate construction and its characteristics
On a nonlinear Birnbaum–Saunders model based on a bivariate construction and its characteristics
On potentially negative space time covariances obtained as sum of products of marginal ones
On some local, global and regularity behaviour of some classes of covariance functions
On some stochastic processes whose covariance is a function of the mean, with an application to compartmental models
On the paper by Alonso et al.
On the paper by Alonso et al.
Predicting Genetic Values: a Kernel-Based Best Linear Unbiased Prediction with Genomic Data
Quasi-arithmetic means of covariance functions with potential applications to space-time data
Recent advances to model anisotropic space-time data
Responses of first-order dynamical systems to Mat{\'e}rn, Cauchy or Dagum noises
Spatial and spatio-temporal dependence of the periodogram for regularly spaced data
Spatio-temporal stochastic modelling: environmental and health processes
Statistical sensitivity analysis of packed column reactors for contaminated wastewater
Statistical sensitivity analysis of packed column reactors for contaminated wastewater
Study of Spatial Relationships Between Two Sets of Variables: A Nonparametric Approach
The Dagum and auxiliary covariance families: towards reconciling two-parameter models that separate fractal dimension and Hurst effect
The Dagum family for spatio-temporal modelling.
The Dagum family of isotropic correlation functions
Valid covariance models for the analysis of geographical genetic variation
Vignettes and health systems responsiveness in cross-country comparative analyses
Weighted composite likelihood-based tests for space-time separability of covariance functions

EditorialMaterial (1)

Discussion on the paper by Hampson and Jennison

Errata (1)

From Schoenberg to Pick Nevanlinna: Towards a complete picture of the variogram class (vol 17, pg 441, 2011)

Proyecto (2)

PROYECTO FONDECYT REGULAR 1170290
SPATIO-TEMPORAL MODELS BASED ON RANDOM FIELDS EVOLVING ON THE SPHERE WITH APPLICATIONS TO CONTAMINATION, MINING AND NATURAL CATASTROPHES
84
Emilio Porcu

Professor

Mathematics

Universidad Técnica Federico Santa María

Valparaiso, Chile

4
Moreno Bevilacqua

Profesor Asociado

Universidad Adolfo Ibánez

Viña del Mar, Chile

2
Ronny Vallejos

Associate professor and Head

Mathematics

Universidad Técnica Federico Santa María

Valparaíso, Chile

1
Alfredo Alegria

Professor

Matemática

Universidad Técnica Federico Santa María

Valparaíso, Chile