Tarantino, M., D’Angelo, N., Cronie, O. & Adelfio, G. (2025). Modeling Marked Poisson Point Processes with Real-Valued Marks. Proceedings of the 53rd Scientific Meeting of the Italian Statistical Society/Italian Statistical Society Series on Advances in Statistics - Statistics for Innovation IV. https://doi.org/10.1007/978-3-031-96033-8_66
Njotto, L. L., Senyoni, W., Cronie, O. & Stensgaard, A. S. (2025). Bayesian spatio-temporal modeling and prediction of malaria cases in Tanzania mainland (2016-2023): unveiling associations with climate and intervention factors. International Journal of Health Geographics. https://doi.org/10.1186/s12942-025-00408-8
Jansson, J., Biscio, C., Moradi, M. & Cronie, O. (2025). Point Process Learning: a cross-validation-based statistical framework for point processes. Proceedings of the 52nd Scientific Meeting of the Italian Statistical Society/Italian Statistical Society Series on Advances in Statistics - Methodological and Applied Statistics and Demography I. https://doi.org/10.1007/978-3-031-64346-0_35
D'Angelo, N., Adelfio, G., Mateu, J. & Cronie, O. (2025). Constructed functional marks for spatial point process intensity estimation. Proceedings of the 52nd Scientific Meeting of the Italian Statistical Society/Italian Statistical Society Series on Advances in Statistics - Methodological and Applied Statistics and Demography II. https://doi.org/10.1007/978-3-031-64350-7_81
Njotto, L. L., Senyoni, W., Cronie, O., Alifrangis, M., & Stensgaard, A. S. (2024). Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development. PLOS Neglected Tropical Diseases, 18(11), e0012679. https://doi.org/10.1371/journal.pntd.0012679
Cronie, O., Moradi, M., & Biscio, C. A. (2024). A cross-validation-based statistical theory for point processes. Biometrika, 111(2), 625-641. https://doi.org/10.1093/biomet/asad041
D’Angelo, N., Adelfio, G., Mateu, J., & Cronie, O. (2024). Local inhomogeneous weighted summary statistics for marked point processes. Journal of Computational and Graphical Statistics, 33(2), 588-602. https://doi.org/10.1080/10618600.2023.2206441
Cronie, O., Jansson, J., & Konstantinou, K. (2024). Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”. Journal of Agricultural, Biological and Environmental Statistics, 29(2), 379-388. https://doi.org/10.1007/s13253-024-00606-0
Bayisa, F. L., Ådahl, M., Rydén, P., & Cronie, O. (2023). Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern. Journal of Agricultural, Biological and Environmental Statistics, 28(4), 664-683. https://doi.org/10.1007/s13253-023-00534-5
Moradi, M., Cronie, O., Pérez-Goya, U., & Mateu, J. (2023). Hierarchical spatio-temporal change-point detection. The American Statistician, 77(4), 390-400. https://doi.org/10.1080/00031305.2023.2191670
Lundberg, C.E., Santosa, A., Björk, J., Brandén, M., Cronie, O., Lindgren, M., Edqvist, J., Åberg, M., Adiels, M. and Rosengren, A. (2023). Age and sex differences in cause-specific excess mortality and years of life lost associated with COVID-19 infection in the Swedish population. European Journal of Public Health, 33(5), 916-922. https://doi.org/10.1093/eurpub/ckad086
Sjöland, H., Lindgren, M., Toska, T., Hansson, P.-O., Glise Sandblad, K., Alex, C., Björck, L., Cronie, O., Björk, J., Lundberg, C.E., Adiels, M. & Rosengren, A. (2023). Pulmonary embolism and deep venous thrombosis after COVID-19: long-term risk in a population-based cohort study. Research and Practice in Thrombosis and Haemostasis, 7, 100284. https://doi.org/10.1016/j.rpth.2023.100284
Rosengren, A., Söderberg, M., Lundberg, C.E., Lindgren, M., Santosa, A., Edqvist, J., Åberg, M., Gisslén, M., Robertson, J., Cronie, O., Sattar, N., Lagergren, J., Branden, M., Björk, J. & Adiels, M. (2022). COVID-19 in people aged 18–64 in Sweden in the first year of the pandemic: Key factors for severe disease and death. Global epidemiology, 4, 100095. https://doi.org/10.1016/j.gloepi.2022.100095
Rosengren, A., Lundberg, C.E., Söderberg, M., Santosa, A., Edqvist, J., Lindgren, M., Åberg, M., Gisslén, M., Robertson, J., Cronie, O., Sattar, N., Lagergren, J., Brandén, M., Björk, J. & Adiels, M. (2022). Severe COVID-19 in people 55 and older during the first year of the pandemic in Sweden. Journal of Internal Medicine, 292(4), 641-653. https://doi.org/10.1111/joim.13522
Lindgren, M., Toska, T., Alex, C., Lundberg, C., Cronie, O., Rosengren, A., Adiels, M. & Sjöland, H. (2022). BMI, sex and outcomes in hospitalised patients in western Sweden during the COVID-19 pandemic. Scientific reports, 12, 1–9. https://doi.org/10.1038/s41598-022-09027-w
Ghorbani, M., Cronie, O., Mateu, J. & Yu, J. (2021). Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data. TEST, 30, 529-568. https://doi.org/10.1007/s11749-020-00730-2
Mateu, J., Moradi, M. & Cronie, O. (2020). Spatio-temporal point patterns on linear networks: Pseudo- separable intensity estimation. Spatial Statistics, 37, 100400. https://doi.org/10.1016/j.spasta.2019.100400
Cronie, O., Moradi, M. & Mateu, J. (2020). Inhomogeneous higher-order summary statistics for linear network point processes. Statistics and Computing 30, 1221-1239. https://doi.org/10.1007/s11222-020-09942-w
Bayisa, F., Ådahl, M., Rydén, P. & Cronie, O. (2020). Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes. Spatial Statistics, 39, 100471. https://doi.org/10.1016/j.spasta.2020.100471
Toreti, A., Cronie, O. & Zampieri, M. (2019). Concurrent climate extremes in the key wheat producing regions of the world. Scientific Reports, 9, 5493. https://doi.org/10.1038/s41598-019-41932-5
Toreti, A., Belward, A., Perez-Dominguez, I., Naumann, G., Luterbacher, J., Cronie, O., Seguini, L., Manfron, G., Lopez-Lozano, R., Baruth, B., van den Berg, M., Dentener, F., Ceglar, A., Chatzopoulos, T. & Zampieri, M. (2019). The exceptional 2018 European water seesaw calls for action on adaptation. Earth’s Future, 7, 652–663. https://doi.org/10.1029/2019EF001170
Moradi, M. M., Cronie, O., Rubak, E., Lachieze-Rey, R., Mateu, J. & Baddeley, A. (2019). Resample- smoothing of Voronoi intensity estimators. Statistics and Computing, 29(5), 995–1010. https://doi.org/10.1007/s11222-018-09850-0
Iftimi, A., Cronie, O. & Montes, F. (2019). Second-order analysis of marked inhomogeneous spatio- temporal point processes: Applications to earthquake data. Scandinavian Journal of Statistics, 46, 661–685. https://doi.org/10.1111/sjos.12367
Bayisa, F., Zhou, Z., Cronie, O. & Yu, J. (2019). Adaptive algorithm for sparse signal recovery. Digital Signal Processing, 87, 10–18. https://doi.org/10.1016/j.dsp.2019.01.002
Cronie, O. & van Lieshout, M. N. M. (2018). A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions. Biometrika, 105, 455–462. https://doi.org/10.1093/biomet/asy001
González, J. A., Rodríguez-Cortés, F. J., Cronie, O. & Mateu, J. (2016). Spatio-temporal point process statistics: a review. Spatial Statistics, 18, 505–544. https://doi.org/10.1016/j.spasta.2016.10.002
Cronie, O. & van Lieshout, M. N. M. (2016). Summary statistics for inhomogeneous marked point processes. Annals of the Institute of Statistical Mathematics, 68, 905–928. https://doi.org/10.1007/s10463-015-0515-z
Cronie, O. & Yu, J. (2016). The discretely observed immigration-death process: Likelihood inference and spatiotemporal applications. Communications in Statistics - Theory and Methods, 45, 5279-5298. https://doi.org/10.1080/03610926.2014.942433
Cronie, O. & van Lieshout, M. N. M. (2015). A J-function for inhomogeneous spatio-temporal point processes. Scandinavian Journal of Statistics, 42, 562–579. https://doi.org/10.1111/sjos.12123
Cronie, O., Nyström, K. & Yu, J. (2013). Spatiotemporal modeling of Swedish scots pine stands. Forest Science, 59, 505–516. https://doi.org/10.5849/forsci.12-007
Cronie, O. & Särkkä, A. (2011). Some edge correction methods for marked spatio-temporal point process models. Computational Statistics & Data Analysis, 55, 2209–2220. https://doi.org/10.1016/j.csda.2011.01.022
D'Angelo, N., Adelfio, G., Mateu, J., & Cronie, O. (2024). Semi-parametric profile pseudolikelihood via local summary statistics for spatial point pattern intensity estimation. arXiv preprint arXiv:2404.10344. https://arxiv.org/pdf/2404.10344
Jansson, J., & Cronie, O. (2024). Comparison of Point Process Learning and its special case Takacs-Fiksel estimation. arXiv preprint arXiv:2405.19523. https://arxiv.org/pdf/2405.19523
Cronie, O. (2024). New density/likelihood representations for Gibbs models based on generating functionals of point processes. arXiv preprint arXiv:2406.07075. https://arxiv.org/pdf/2406.07075
Han, B., Cronie, O., Adiels, M., Rosengren, A., & Söderberg, M. (2024). The Influence of Overcrowding and Socioeconomy on the Spatio-temporal Spread of Covid-19–a Swedish Register Study. https://www.amm.se/wp-content/uploads/2022/10/The-influence-of-overcrowding-and-socioeconomy-on-the-spatio-temporal-spread-of-COVID-19–221014.pdf
Cronie, O. (2012). Likelihood inference for a functional marked point process with Cox-Ingersoll-Ross process marks. arXiv preprint arXiv:1210.2071. https://arxiv.org/pdf/1210.2071
Cronie, O. (2011). Modelling and Inference for Spatio-Temporal Marked Point Processes (PhD thesis, Dept. of Mathematical Sciences, Chalmers University of Technology, Sweden). https://publications.lib.chalmers.se/records/fulltext/146630.pdf
Cronie, O. (2010). Different Aspects of Inference for Spatio-Temporal Point Processes (Licentiate thesis, Dept. of Mathematical Sciences, Chalmers University of Technology, Sweden). https://publications.lib.chalmers.se/records/fulltext/116981.pdf
Angeralides, A., & Cronie, O. (2006). Modeling Electricity Prices with Ornstein-Uhlenbeck Processes (Masters thesis, Dept. of Mathematical Sciences, University of Gothenburg, Sweden). https://www.math.chalmers.se/~palbin/CorrectedThesis30Aug.pdf
See my "R package scholar" page.
Invited
2025 Papangelou conditional intensities for marked Gibbs processes and their applications to point process operations (GeoSto25: Stochastic geometry days, Grenoble, France).
2024 Point Process Learning: a cross-validation-based statistical framework for point processes (SIS: Scientific Meeting of the Italian Statistical Society, Bari, Italy).
2023 Point Process Learning: A new statistical approach for point processes (geostat23: Journées de Géostatistique, Mines Paris).
2023 Point process learning (EVA13: Extreme Value Analysis, Bocconi, Italy).
2022 Point process learning: a cross-validation-based approach to statistics for point processes (Weierstrass institute, Berlin, Germany).
2022 Statistical learning for point processes (IAMG, Nancy, France).
2021 Resample-smoothing of Voronoi intensity estimators (Department of statistics seminar, Lund University, Sweden).
2020 Point process cross-validation (OSSP: Online Seminar on Spatial and spatio-temporal Point processes, and beyond).
2020 Vilken är den optimala nivån på åtgärder för att hindra smittspridning? (University of Gothenburg school of business, economics and law webbinar on Covid-19, Gotheburg, Sweden).
2020 Who has the answers? Facts and statistics in the time of pandemic. (Invited guest lecturer in a course on global health, University of Gothenburg, Sweden).
2020 Resample-smoothing and its application to Voronoi estimators (Department of mathematical sciences' seminar series in Statistics and Biomathematics, Gothenburg, Sweden).
2019 Intensity estimation for spatial point processes (11th Intl. Conference of the International Chinese Statistical Association, Hangzhou, China).
2018 Prehospital resursoptimering – AI för planering inom den prehospitala vården (Metis forum, PICTA – Lindholmen science park, Gothenburg, Sweden).
2018 Non-parametric statistics for marked inhomogeneous point processes (IWAP2018: the 9th Intl. Workshop on Applied Probability, Budapest, Hungary).
2018 Resampling-smoothing of intensity estimators (SSIAB12: 12th French-Danish workshop on Spatial Stat. & Image Analysis, Aalborg, Denmark).
2018 Basics of marked point processes (Karolinska Institute, Stockholm, Sweden).
2017 Second order analysis of marked inhomogeneous spatio-temporal point patterns (Annual meeting of the RESSTE-network, AgroParisTech, Paris, France).
2017 The second-order analysis of marked spatio-temporal point processes: applications to earthquake data (Statistical seminar, Mathematical Sciences, Chalmers & University of Gothenburg, Gothenburg, Sweden).
2016 Summary statistics for marked inhomogeneous point processes (Technische Universität Kaiserslautern Statistical seminar, Kaiserslautern, Germany).
2016 Non-model based bandwidth selection for estimation of intensity functions of point processes (Workshop: Random models in science, engineering and medicine, Smögen, Sweden).
2015 A J-function for spatio-temporal inhomogeneous point processes (Mathematics dept., Universitat de Valencia, Valencia, Spain).
2014 Analysing clustering in spatio-temporal point patterns (Workshop: Random models in science, engineering and medicine, Smögen, Sweden).
2014 A J-function for spatio-temporal inhomogeneous point processes (Utrecht stochastics seminar, Utrecht, The Netherlands).
2010 A Spatio-Temporal Diffusion-Marked Point Process and its Likelihood Inference (Lund University, symposium on random processes and fields, Lund, Sweden).
2010 Estimation in a spatio-temporal marked point process (Workshop: Random models in science, engineering and medicine, Smögen, Sweden).
2009 Some edge correction methods for marked spatio-temporal point processes (Mathematics dept., Technische Universität Bergakademie, Freiberg, Germany).
2009 Estimation in a growth-interaction spatio-temporal marked point process (Gothenburg Mathematical Modelling Centre day, Gothenburg, Sweden).
2008 Estimation in a spatio-temporal marked point process (Swedish University of Agricultural Sciences, Umeå, Sweden).
Other
2023 Point process learning: A cross-validation-based approach to statistics for point processes (Nordstat, Gothenburg, Sweden).
2023 Point process learning: a cross-validation-based approach to statistics for point processes (SSIAB, Grenoble, France).
2022 Point process learning (METMA X: 10th International Workshop on Spatio-Temporal Modelling, Lleida, Spain).
2022 Point process learning (Gothenburg statistics seminar, Gothenburg, Sweden).
2018 A non-model-based approach to bandwidth selection for kernel intensity estimators (Stochastic processes and applications 2018 conference, Gothenburg, Sweden).
2017 Non-model based bandwidth selection for kernel estimators of point process intensity functions (Spatial statistics conference 2017, Lancaster, UK).
2017 Non-model based bandwidth selection for estimation of intensity functions of point processes (Umeå University Joint Statistical Seminars, Umeå, Sweden).
2016 Non-model based bandwidth selection for estimation of intensity functions of point processes (METMA VIII: 8th International Workshop on Spatio-Temporal Modelling, Valencia, Spain).
2015 Functional marked point processes – Unifying spatio-temporal frameworks (Spatial statistics conference 2015, Avignon, France).
2015 Summary statistics for marked inhomogeneous point processes (Umeå University Joint Statistical Seminars, Umeå, Sweden).
2013 J-functions for certain classes of marked, spatio-temporal and marked spatio-temporal inhomogeneous point processes (Spatial statistics conference 2013, Columbus, USA).
2012 Modelling forest stands with a spatio-temporal random process (AdeKUS Research Days, Anton de Kom University of Suriname, Surinam).
2010 Maximum likelihood estimation in a spatio-temporal marked point process (Workshop: Random models in science, engineering and medicine, Smögen, Sweden).
2009 Estimation and edge correction in a spatio-temporal marked point process (PhD student seminar, Gothenburg, Sweden).
2009 Different Aspects of Inference for Spatio-Temporal Point Processes (Licentiate thesis seminar, Gothenburg, Sweden).
2009 Improved estimation in a spatio-temporal growth-interaction model (The Second Nordic-Baltic Biometric Conference, Tartu, Estonia).
2009 Estimation and edge correction in a spatio-temporal growth-interaction model (15th Workshop on Stochastic Geometry, Stereology and Image Analysis, Blaubeuren, Germany).
2008 Estimation and edge correction in the Renshaw-Särkkä model (Workshop: Random models in science, engineering and medicine, Smögen, Sweden).