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2023
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| 1. | Fioravanti, Guido; Martino, Sara; Cameletti, Michela; Toreti, Andrea. Climate variables interpolation by using INLA and the SPDE approach. EMS Annual Meeting 2023; 2023-09-04 - 2023-09-08 NTNU |
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| 2. | Fioravanti, Guido; Martino, Sara; Cameletti, Michela; Toreti, Andrea. Interpolating climate variables by using INLA and the SPDE approach. International Journal of Climatology 2023 ;Volume 43.(14) p. 6866-6886 NTNU |
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| 3. | Martino, Sara. Implementing Occupancy models in INLA. Workshop on Ecological and Environmental Statistics; 2023-09-11 - 2023-09-13 NTNU |
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| 4. | Martino, Sara. Integrated Species Distribution models with INLA/inlabru. INLA: past, present and future; 2023-01-18 - 2023-01-19 NTNU |
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| 5. | Martino, Sara. Where are the dolphins? Combining data from several data sources. International Day of Women in Statistics and Data Science (IDWSDS); 2023-10-10 - 2023-10-10 NTNU |
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| 6. | Martino, Sara; Illian, Janine; Belmont, Jafet Osuna. Spatial occurrence models using Integrated Nested Laplace Approximation. GRASPA 2023 conference; 2023-07-11 - 2023-07-12 NTNU |
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| 7. | polettini, silvia; Arima, Serena; Martino, Sara. An Investigation of Models for Under-Reporting in the Analysis of Violence Against Women in Italy. Social Indicators Research 2023 p. 1-20 NTNU |
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| 8. | Skarstein, Emma Sofie; Martino, Sara; Muff, Stefanie. A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations. Biometrical Journal 2023 ;Volume 65.(8) p. - NTNU |
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| 9. | Vandeskog, Silius Mortensønn; Martino, Sara; Huser, Raphaël. Robust Modelling of high-dimensional spatial conditional extremes. Extreme Value Analysis (EVA) 2023; 2023-06-26 - 2023-06-30 NTNU |
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| 10. | Villejo, Stephen; Martino, Sara; Illian, Janine. Linking climate and Dengue risks in the Philippines using the INLA-SPDE method. Spatial Statistics 2023; 2023-07-18 - 2023-07-21 NTNU |
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2022
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| 11. | Barmoudeh, Leila; Baghishani, Hossein; Martino, Sara. Bayesian spatial analysis of crash severity data with the INLA approach: Assessment of different identification constraints. Accident Analysis and Prevention 2022 ;Volume 167. p. - NTNU |
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| 12. | Berild, Martin Outzen; Martino, Sara; Gómez-Rubio, Virgilio; Rue, Håvard. Importance Sampling with the Integrated Nested Laplace Approximation. Journal of Computational And Graphical Statistics (JCGS) 2022 ;Volume 31. p. 1225-1237 NTNU |
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| 13. | Fioravanti, Guido; Cameletti, Michela; Martino, Sara; Cattani, Giorgio; Pisoni, Enrico. A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID-19 lockdown. Environmetrics 2022 ;Volume 33.(4) p. - NTNU |
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| 14. | Martino, Sara. A new computational approach to fit hierarchical models with INLA. XXVI Reunión Científica del Grupo Argentino de Bioestadística, Cordoba (Argentina).; 2022-10-26 - 2022-10-28 NTNU |
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| 15. | Martino, Sara; Berild, Martin Outzen. Importance Sampling with the integrated Nested Laplace approximation.. 31st International Biometric Conference; 2022-07-10 - 2022-07-15 NTNU |
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| 16. | Pace, Daniela Silvia; Panunzi, Greta; Arcangeli, Antonella; Moro, Stefano; Jona Lasinio, Giovanna; Martino, Sara. Seasonal distribution of an opportunistic apex predator (Tursiops truncatus) in marine coastal habitats of the Western Mediterranean Sea. Frontiers in Marine Science 2022 ;Volume 9. p. - NTNU |
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| 17. | Skarstein, Emma Sofie; Martino, Sara; Muff, Stefanie. We show how to handle missing data in INLA by generalizing exising measurement error models. ISBA World Meeting 2022; 2022-06-26 - 2022-07-01 NTNU |
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| 18. | Vandeskog, Silius Mortensønn; Martino, Sara; Castro-Camilo, Daniela; Rue, Håvard. Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution. Journal of Agricultural Biological and Environmental Statistics 2022 ;Volume 27. p. 598-621 NTNU |
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2021
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| 19. | Fioravanti, Guido; Martino, Sara; Cameletti, Michela; Cattani, Giorgio. Spatio-temporal modelling of PM10 daily concentrations in Italy using the SPDE approach. Atmospheric Environment 2021 ;Volume 248. p. 118-192 NTNU |
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| 20. | Martino, Sara. Integration of presence-only data from several sources: a case study on dolphins' spatial distribution. Applications du Bayesian Unified Group of Statisticians Workshop; 2021-06-24 - 2021-06-25 NTNU |
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| 21. | Martino, Sara; Crescenza, Calculli. A Bayesian joint model for exploring zero-inflated bivariate marine litter data. 50th edition of the Scientific Meeting of the Italian Statistical Society.; 2021-06-21 - 2021-06-25 NTNU |
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| 22. | Martino, Sara; Jona Lasinio, Giovanna; Pace, Daniela Silvia. Combining spatial data derived from conventional research protocols and social media platforms A story of two dolphin species. GRASPA 2021 biennial conferece of the Italian research group for Environmental Statistics; 2021-06-07 - 2021-06-09 NTNU |
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| 23. | Martino, Sara; Pace, Daniela Silvia; Moro, Stefano; Casoli, Edoardo; Ventura, Daniele; Frachea, Alessandro; Silvestri, Margherita; Arcangeli, Antonella; Giacomini, Giancarlo; Ardizzone, Giandomenico; Jona Lasinio, Giovanna. Integration of presence-only data from several sources: a case study on dolphins' spatial distribution. Ecography 2021 ;Volume 44.(10) p. 1533-1543 NTNU |
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| 24. | Vandeskog, Silius Mortensønn; Martino, Sara. Modelling spatial conditional extremes with R-INLA. Workshop "Extremes"; 2021-12-02 - 2021-12-03 NTNU |
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| 25. | Vandeskog, Silius Mortensønn; Martino, Sara; Castro-Camilo, Daniela. Modelling block maxima with the blended generalised extreme value distribution. I: 22nd European Young Statisticians Meeting – Proceedings. 136, Syggrou Ave 17671 Athens, Greece: Department of Psychology & Department of Sociology, School of Social Science, Panteion University of Social and Political Sciences 2021 ISBN 978-960-7943-23-1. p. 138-142 NTNU |
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| 26. | Vandeskog, Silius Mortensønn; Martino, Sara; Castro-Camilo, Daniela; Rue, Håvard. Modelling extreme short-term precipitation with the blended generalised extreme value distribution. Extreme value analysis 2021; 2021-06-28 - 2021-07-02 NTNU |
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2020
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| 27. | Vandeskog, Silius Mortensønn; Martino, Sara. Examining the extremal dependence structure of precipitation in Norway. EGU General Assembly 2020; 2020-05-04 - 2020-05-08 NTNU |
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2019
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| 28. | Mo, Birger; Martino, Sara; Naversen, Christian Øyn; Aronsen, Gunnar; Rismark, Ole. Benchmarking Hydro Operation by Use of a Simulator. I: Proceedings of the 6th International Workshop on Hydro Scheduling in Competitive Electricity Markets. Springer Nature 2019 ISBN 978-3-030-03311-8. p. 41-51 ENERGISINT |
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2017
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| 29. | Francois, B.; Martino, Sara; Tøfte, Lena S; Hingray, Benoît; Mo, Birger; Creutin, Jean-Dominique. Effects of Increased Wind Power Generation on Mid-Norway’s Energy Balance under Climate Change: A Market Based Approach. Energies 2017 ;Volume 10.(2) p. 227- ENERGISINT |
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| 30. | Martino, Sara; Nipen, Thomas Nils; Lussana, Cristian; Kolberg, Sjur. A stochastic weather generator based on resampling historical ensemble weather forecasts and its application to hydrological simulation. Trondheim: SINTEF Energi AS 2017 32 p. SINTEF Rapport(2017:00835) ENERGISINT MET |
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2016
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| 31. | Løland, Anders; Steinbakk, Gunnhildur Högnadóttir; Martino, Sara; Kolberg, Sjur. Detrending og klimakorrigering av historiske tilsigs- og temperaturserier. Oslo: Norsk Regnesentral 2016 12 p. NR-notat(SAMBA/27/16) NR ENERGISINT |
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| 32. | Martino, Sara; Kolberg, Sjur. A study of a Linear Orographic Precipitation Model. : SINTEF Energi AS 2016 (ISBN 978-82-549-3679-5) 2016 p. SINTEF Energi. Rapport(TR A7613) ENERGISINT |
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| 33. | Tøfte, Lena S; Martino, Sara; Mo, Birger. Using climate response functions in analysing electricity production variables. A case study from Mid-Norway.. EGU 2016; 2016-04-18 - 2016-04-22 ENERGISINT |
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2015
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| 34. | Ingebrigtsen, Rikke; Lindgren, Finn; Steinsland, Ingelin; Martino, Sara. Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field. Spatial Statistics 2015 ;Volume 14 C. p. 338-364 ENERGISINT NTNU |
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| 35. | Martino, Sara; Riebler, Andrea Ingeborg. Integrated nested Laplace approximations (INLA). I: Wiley StatsRef: Statistics Reference Online. John Wiley & Sons 2015 ISBN 9781118445112. NTNU |
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2014
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| 36. | Hu, Xiangping; Steinsland, Ingelin; Simpson, Daniel Peter; Martino, Sara; Rue, Håvard. Spatial Modelling of Temperature and Humidity using Systems of Stochastic Partial Differential Equations. Joint Statistical Meeting; 2014-08-02 - 2014-08-08 NTNU UiO |
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| 37. | Ingebrigtsen, Rikke; Lindgren, Finn Kristian; Steinsland, Ingelin; Martino, Sara. Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field. : arXiv.org 2014 36 p. arXiv.org(1412.2798) NTNU |
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| 38. | Martino, Sara; Kolberg, Sjur; Lepioufle, Jean Marie; Leblois, Etienne. Weather generator: results from a pilot study. Trondheim: SINTEF Energi AS 2014 (ISBN 978-82-594-3627-6) 24 p. SINTEF Energi. Rapport(TR A7350) ENERGISINT |
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| 39. | Martino, Sara; Løland, Anders; Mo, Birger; Hobæk Haff, Ingrid. Statistical properties of historical inflow series for long-term models. : Norsk Regnesentral 2014 34 p. NR-notat(SAMBA/11/14) ENERGISINT NR |
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2013
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| 40. | Holand, Anna Marie; Steinsland, Ingelin; Martino, Sara; Jensen, Henrik. Animal Models and Integrated Nested Laplace Approximations. G3: Genes, Genomes, Genetics 2013 ;Volume 3.(8) p. 1241-1251 NTNU |
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| 41. | Hu, Xiangping; Steinsland, Ingelin; Simpson, Daniel Peter; Martino, Sara; Rue, Håvard. Bivariate Random Fields with System of SPDEs for Spatial Modelling of Temperature and Humidit. The 17th Norwegian Statistical Conference; 2013-06-10 - 2013-06-13 NTNU UiT |
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| 42. | Hu, Xiangping; Steinsland, Ingelin; Simpson, Daniel Peter; Martino, Sara; Rue, Håvard. Spatial Modelling of Temperature and Humidity using Systems of Stochastic Partial Differential Equations. : ArXiv 2013 30 p. NTNU UiO UiT |
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| 43. | Illian, Janine B.; Martino, Sara; Sørbye, Sigrunn Holbek; Gallego-Fernandez, Juan; Zunzunegui, Maria; Esquivias, M. Paz; Travis, Justin M. J.. Fitting complex ecological point process models with integrated nested Laplace approximation. Methods in Ecology and Evolution 2013 ;Volume 4.(4) p. 305-315 UiT NTNU |
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| 44. | Martino, Sara; Hobæk Haff, Ingrid; Løland, Anders; Mo, Birger. Statistical properties of historical inflow series for long-term models. : Norsk Regnesentral 2013 79 p. NR-notat(SAMBA/50/13) ENERGISINT NR |
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2012
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| 45. | Beguin, J; Martino, Sara; Rue, Håvard; Cumming, SG. Hierarchical analysis of spatially autocorrelated ecological data using integrated nested Laplace approximation. Methods in Ecology and Evolution 2012 ;Volume 3.(5) p. 921-929 NTNU |
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| 46. | Hobæk Haff, Ingrid; Martino, Sara; Løland, Anders; Follestad, Turid. Statistical properties of historical inflow series for long-term models. Oslo: Norsk Regnesentral 2012 39 p. NR-notat(SAMBA/50/12) ENERGISINT NR |
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| 47. | Holand, Anna Marie; Steinsland, Ingelin; Martino, Sara; Jensen, Henrik. Bayesian animal model using integrated nested Laplace approximations: a wild house sparrow population case study. The Second Workshop on Bayesian Inference for Latent Gaussian Models with Applications; 2012-05-30 - 2012-06-01 NTNU |
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| 48. | Holand, Anna Marie; Steinsland, Ingelin; Martino, Sara; Jensen, Henrik. Bayesian animal model using integrated nested Laplace approximations: a wild house sparrow population case study. 4th International Conference on Quantitative Genetics; 2012-06-17 - 2012-06-22 NTNU |
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2011
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| 49. | Holand, Anna Marie; Steinsland, Ingelin; Martino, Sara; Jensen, Henrik. Bayesian animal models using integrated nested Laplace approximations: a wild house sparrow population case study. European Society for Evolutionary Biology 13th Congress; 2011-08-20 - 2011-08-25 NTNU |
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| 50. | Martino, Sara; Aas, Kjersti; Lindqvist, Ola; Neef, Linda Reiersølmoen; Rue, Håvard. Estimating stochastic volatility models using integrated nested Laplace approximations. European Journal of Finance 2011 ;Volume 17.(7) p. 487-503 NTNU NR |
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