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2. On Properties and Applications of Gaussian Subordinated Lévy Fields. (2023). Merkle, Robin ; Barth, Andrea.
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3. Initiation and termination of epilepsy induced by Lévy noise: A view from the cortical neural mass model. (2023). Deng, Zichen ; Shen, Zhuan ; Du, Lin ; Kurths, Jurgen ; Zhang, Honghui.
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4. Extremes of Lévy-driven spatial random fields with regularly varying Lévy measure. (2022). Stehr, Mads ; Ronn-Nielsen, Anders.
   In: Stochastic Processes and their Applications.
   RePEc:eee:spapps:v:150:y:2022:i:c:p:19-49.

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5. Hybrid simulation scheme for volatility modulated moving average fields. (2019). Veraart, Almut ; Pakkanen, Mikko S ; Heinrich, Claudio.
   In: Mathematics and Computers in Simulation (MATCOM).
   RePEc:eee:matcom:v:166:y:2019:i:c:p:224-244.

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1. Convergence arguments to bridge cauchy and matérn covariance functions. (2024). Kondrashuk, Igor ; Bevilacqua, Moreno ; Porcu, Emilio ; Faouzi, Tarik.
   In: Statistical Papers.
   RePEc:spr:stpapr:v:65:y:2024:i:2:d:10.1007_s00362-023-01400-9.

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2. Smooth Matérn Gaussian random fields: Euler characteristic, expected number and height distribution of critical points. (2024). Cheng, Dan.
   In: Statistics & Probability Letters.
   RePEc:eee:stapro:v:210:y:2024:i:c:s0167715224000853.

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3. Multivariate geometric anisotropic Cox processes. (2023). Olhede, Sofia C ; Murrell, David J ; Martin, James S.
   In: Scandinavian Journal of Statistics.
   RePEc:bla:scjsta:v:50:y:2023:i:3:p:1420-1465.

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4. On Information About Covariance Parameters in Gaussian Matérn Random Fields. (2022). Han, Zifei ; de Oliveira, Victor.
   In: Journal of Agricultural, Biological and Environmental Statistics.
   RePEc:spr:jagbes:v:27:y:2022:i:4:d:10.1007_s13253-022-00510-5.

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5. Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution. (2022). Vandeskog, Silius M ; Martino, Sara ; Rue, Hvard ; Castro-Camilo, Daniela.
   In: Journal of Agricultural, Biological and Environmental Statistics.
   RePEc:spr:jagbes:v:27:y:2022:i:4:d:10.1007_s13253-022-00500-7.

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6. Inverses of Matérn covariances on grids. (2022). Guinness, Joseph.
   In: Biometrika.
   RePEc:oup:biomet:v:109:y:2022:i:2:p:535-541..

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7. CNN-Hyperparameter Optimization for Diabetic Maculopathy Diagnosis in Optical Coherence Tomography and Fundus Retinography. (2022). Samee, Nagwan Abdel ; Atteia, Ghada ; El-Kenawy, El-Sayed M ; Ibrahim, Abdelhameed.
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   RePEc:gam:jmathe:v:10:y:2022:i:18:p:3274-:d:910899.

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8. Unifying compactly supported and Matérn covariance functions in spatial statistics. (2022). Bevilacqua, Moreno ; Porcu, Emilio ; Caamao-Carrillo, Christian.
   In: Journal of Multivariate Analysis.
   RePEc:eee:jmvana:v:189:y:2022:i:c:s0047259x22000033.

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9. Knowledge Learning of Insurance Risks Using Dependence Models. (2021). Zhao, Zifeng ; Feng, Xiaoping ; Shi, Peng.
   In: INFORMS Journal on Computing.
   RePEc:inm:orijoc:v:33:y:2021:i:3:p:1177-1196.

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10. Underground mine scheduling under uncertainty. (2021). Lamas, Patricio ; Goycoolea, Marcos ; Blake, Lewis R ; Pagnoncelli, Bernardo K ; Brickey, Andrea ; Newman, Alexandra ; Nesbitt, Peter.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:294:y:2021:i:1:p:340-352.

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11. Semiparametric estimation with spatially correlated recurrent events. (2021). Niang, Sophie Dabo ; Adekpedjou, Akim.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:48:y:2021:i:4:p:1097-1126.

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12. A two‐field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area. (2021). Roksvg, Thea ; Engeland, Kolbjorn ; Steinsland, Ingelin.
    In: Journal of the Royal Statistical Society Series C.
    RePEc:bla:jorssc:v:70:y:2021:i:4:p:934-960.

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13. On Some Characteristics of Gaussian Covariance Functions. (2021). de Iaco, Sandra ; Maggio, Sabrina ; Posa, Donato ; Cappello, Claudia.
    In: International Statistical Review.
    RePEc:bla:istatr:v:89:y:2021:i:1:p:36-53.

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14. Semiparametric estimation of cross‐covariance functions for multivariate random fields. (2021). Sun, Ying ; Qadir, Ghulam A.
    In: Biometrics.
    RePEc:bla:biomet:v:77:y:2021:i:2:p:547-560.

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15. Spatiotemporal reconstructions of global CO2‐fluxes using Gaussian Markov random fields. (2020). Dahlen, Unn ; Scholze, Marko ; Lindstrom, Johan.
    In: Environmetrics.
    RePEc:wly:envmet:v:31:y:2020:i:4:n:e2610.

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16. Hybrid simulation scheme for volatility modulated moving average fields. (2019). Veraart, Almut ; Pakkanen, Mikko S ; Heinrich, Claudio.
    In: Mathematics and Computers in Simulation (MATCOM).
    RePEc:eee:matcom:v:166:y:2019:i:c:p:224-244.

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17. Likelihood approximation with hierarchical matrices for large spatial datasets. (2019). Sun, Ying ; Genton, Marc G ; Keyes, David E ; Litvinenko, Alexander.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:137:y:2019:i:c:p:115-132.

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18. A scalable multi‐resolution spatio‐temporal model for brain activation and connectivity in fMRI data. (2018). Castruccio, Stefano ; Genton, Marc G ; Ombao, Hernando.
    In: Biometrics.
    RePEc:bla:biomet:v:74:y:2018:i:3:p:823-833.

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19. Fully Bayesian spectral methods for imaging data. (2018). Vandekar, Simon N ; Shinohara, Russell T ; Guinness, Joseph ; Reich, Brian J ; Staicu, Anaa Maria.
    In: Biometrics.
    RePEc:bla:biomet:v:74:y:2018:i:2:p:645-652.

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20. Macro economic cycle effect on mortgage and personal loan default rates. (2017). Strydom, Petrus .
    In: Journal of Applied Finance & Banking.
    RePEc:spt:apfiba:v:7:y:2017:i:6:f:7_6_1.

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21. A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields. (2017). Li, W K.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:130:y:2017:i:c:p:115-119.

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22. Asymptotic near-efficiency of the “Gibbs-energy and empirical-variance” estimating functions for fitting Matérn models — I: Densely sampled processes. (2016). Girard, Didier A.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:110:y:2016:i:c:p:191-197.

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23. Isotropic covariance functions on spheres: Some properties and modeling considerations. (2016). Fuentes, Montserrat ; Guinness, Joseph.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:143:y:2016:i:c:p:143-152.

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24. A variational Bayes spatiotemporal model for electromagnetic brain mapping. (2014). Virji-Babul, N. ; Beg, M. F. ; Nathoo, F. S. ; Moiseev, A..
    In: Biometrics.
    RePEc:bla:biomet:v:70:y:2014:i:1:p:132-143.

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25. A note on moving average models for Gaussian random fields. (2013). Thorarinsdottir, Thordis L. ; Hansen, Linda V..
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:83:y:2013:i:3:p:850-855.

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26. Lévy-based Modelling in Brain Imaging. (2013). JoNSDoTTIR, KRISTJANA R ; Mouridsen, Kim ; Eva B. Vedel Jensen, ; Ronn-Nielsen, Anders.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:40:y:2013:i:3:p:511-529.

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27. Nonstationary modeling for multivariate spatial processes. (2012). Kleiber, William ; Nychka, Douglas.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:112:y:2012:i:c:p:76-91.

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28. A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris. (2011). hsiao, cheng ; BRESSON, Georges.
    In: AStA Advances in Statistical Analysis.
    RePEc:spr:alstar:v:95:y:2011:i:4:p:501-529.

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29. .

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