Maximum likelihood estimation of the multivariate hidden dynamic geostatistical model with application to air quality in Apulia, Italy-Reference-Cited by-同舟云学术

Maximum likelihood estimation of the multivariate hidden dynamic geostatistical model with application to air quality in Apulia, Italy

Published:2015-05-05 Issue:6 Volume:26 Page:406-417
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Calculli Crescenza¹,Fassò Alessandro²,Finazzi Francesco³,Pollice Alessio⁴,Turnone Annarita⁵

Affiliation:

1. Italian Institute for Nuclear Physics, Istituto Nazionale di Fisica Nucleare ‐ Bari Via E. Orabona 4 70125 Bari Italy

2. Department of EngineeringUniversity of Bergamo viale Marconi 5 24044 Dalmine, Bergamo Italy

3. Department of Management, Economics and Quantitative MethodsUniversity of Bergamo via dei Caniana 2 24127 Bergamo Italy

4. Department of Economics and Mathematical MethodsUniversity of Bari Largo Abbazia S. Scolastica 53 70124 Bari Italy

5. Agenzia Regionale per la Prevenzione e la Protezione dell'Ambiente – ARPA Puglia Corso Trieste 27 Bari 70126 Bari Italy

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2345

Reference31 articles.

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2. LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics

3. A dynamic process convolution approach to modeling ambient particulate matter concentrations

4. Comparing spatio-temporal models for particulate matter in Piemonte

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