Ottmar Cronie

Studierektor at Mathematical Sciences

I am a mathematical statistician and my research is primarily in spatial and spatio-temporal statistics as well as statistical learning. The emphasis of my research is in point processes, which have classically been considered as a part of stochastic geometry and can most easily be described as generalised random samples where dependencies and random sample sizes are allowed - this is exactly what makes them particularly suitable for modelling events in space and/or time. At present, the main focus is on the further development of a new theory for statistical learning for point processes that I have recently developed. The applied part of my research focuses mainly on epidemiology where the main focus at the moment is research on covid-19 and mosquito-borne diseases - this research is conducted in collaboration with, among others, the research group of Annika Rosengren (GU) and Max Petzold and Laith Hussain (GU).

Source: chalmers.se
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Showing 31 publications

2025

Point Process Learning: a cross-validation-based statistical framework for point processes

Julia Jansson, Ottmar Cronie, Mehdi Moradi et al
Italian Statistical Society Series on Advances in Statistics. Vol. 52
Paper in proceeding
2024

A cross-validation-based statistical theory for point processes

Ottmar Cronie, Mehdi Moradi, Christophe A.N. Biscio
Biometrika. Vol. 111 (1), p. 625-641
Journal article
2024

Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”

Ottmar Cronie, Julia Jansson, Konstantinos Konstantinou
Journal of Agricultural, Biological, and Environmental Statistics. Vol. 29
Journal article
2024

Local inhomogeneous weighted summary statistics for marked point processes

Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu et al
Journal of Computational and Graphical Statistics. Vol. 33 (2), p. 588-602
Journal article
2023

Hierarchical spatio-temporal change-point detection

Mehdi Moradi, Ottmar Cronie, Unai Pérez-Goya et al
American Statistician. Vol. 77 (4), p. 390-400
Journal article
2023

Regularised semi-parametric composite likelihood intensity modelling of a Swedish spatial ambulance call point pattern

Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén et al
Journal of Agricultural, Biological, and Environmental Statistics. Vol. 28 (4), p. 664-683
Journal article
2023

Age and sex differences in cause-specific excess mortality and years of life lost associated with COVID-19 infection in the Swedish population

Christina E. Lundberg, Ailiana Santosa, Jonas Bjork et al
European Journal of Public Health. Vol. 33 (5), p. 916-922
Journal article
2022

COVID-19 in people aged 18–64 in Sweden in the first year of the pandemic: Key factors for severe disease and death

Annika Rosengren, Mia Söderberg, Christina E. Lundberg et al
Global Epidemiology. Vol. 4
Journal article
2022

BMI, sex and outcomes in hospitalised patients in western Sweden during the COVID-19 pandemic

Martin Lindgren, Triantafyllia Toska, Christian Alex et al
Scientific Reports. Vol. 12
Journal article
2022

Severe COVID-19 in people 55 and older during the first year of the pandemic in Sweden

Annika Rosengren, Christina E. Lundberg, Mia Söderberg et al
Journal of Internal Medicine, Supplement. Vol. 292 (4), p. 641-653
Journal article
2021

Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data

Mohammad Ghorbani, Ottmar Cronie, Jorge Mateu et al
Test. Vol. 30, p. 529-568
Journal article
2020

Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation

Jorge Mateu, Mehdi Moradi, Ottmar Cronie
Spatial Statistics. Vol. 37
Journal article
2020

Inhomogeneous higher-order summary statistics for point processes on linear networks

Ottmar Cronie, Mehdi Moradi, Jorge Mateu
Statistics and Computing. Vol. 30 (5), p. 1221-1239
Journal article
2020

Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes

Fekadu L. Bayisa, Markus Ådahl, Partik Rydén et al
Spatial Statistics. Vol. 39
Journal article
2019

Resample-smoothing of Voronoi intensity estimators

Mehdi Moradi, Ottmar Cronie, Ege Rubak et al
Statistics and Computing. Vol. 29 (5), p. 995-1010
Journal article
2019

Second-order analysis of marked inhomogeneous spatio- temporal point processes: Applications to earthquake data

Adina Iftimi, Ottmar Cronie, Francisco Montes
Scandinavian Journal of Statistics. Vol. 46 (3), p. 661-685
Journal article
2019

The exceptional 2018 European water seesaw calls for action on adaptation

Andrea Toreti, Alan Belward, Ignacio Perez-Dominguez et al
Earth’s Future. Vol. 7 (6), p. 652-663
Journal article
2019

Concurrent climate extremes in the key wheat producing regions of the world

Andrea Toreti, Ottmar Cronie, Matteo Zampieri
Scientific Reports. Vol. 9 (1)
Journal article
2019

Adaptive algorithm for sparse signal recovery

Fekadu L. Bayisa, Zhiyong Zhou, Ottmar Cronie et al
Digital Signal Processing: A Review Journal. Vol. 87, p. 10-18
Journal article
2018

A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions

Ottmar Cronie, Marie Colette N.M. Van Lieshout
Biometrika. Vol. 105, p. 455-462
Journal article
2016

Summary statistics for inhomogeneous marked point processes

Ottmar Cronie, Marie Colette N.M. Van Lieshout
Annals of the Institute of Statistical Mathematics. Vol. 68 (4), p. 905-928
Journal article
2016

The discretely observed immigration-death process: Likelihood inference and spatiotemporal applications

Ottmar Cronie, Jun Yu
Communications in Statistics - Theory and Methods. Vol. 45 (18), p. 5279-5298
Journal article
2016

Spatio-temporal point process statistics: a review

Jonatan A. González, Francisco J. Rodríguez-Cortés, Ottmar Cronie et al
Spatial Statistics. Vol. 18, p. 505-544
Journal article
2015

J-function for inhomogeneous spatio-temporal point processes

Ottmar Cronie, Marie Colette N.M. Van Lieshout
Scandinavian Journal of Statistics. Vol. 2, p. 562-579
Journal article
2013

Spatiotemporal Modeling of Swedish Scots Pine Stands

Ottmar Cronie, K. Nystrom, J. Yu
Forest Science. Vol. 59 (5), p. 505-516
Journal article
2011

Some edge correction methods for marked spatio-temporal point process models

Ottmar Cronie, Aila Särkkä
Computational Statistics and Data Analysis. Vol. 55 (7), p. 2209-2220
Journal article

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