Ottmar Cronie
SENIOR LECTURER
School of Public Health and CommunityAbout Ottmar Cronie
The theme of my research group is spatial/spatio-temporal statistics, with applications in health and climate change (a sub-group of the Biostatistics research group, School of Public Health & Community Medicine, University of Gothenburg).
I am a mathematical statistician who mainly has been working on statistical methods for point process/pattern analysis; particular focus has been on non-parametric and data-driven methods. Most of my work has been published in high-quality statistics journals. A few of the applications areas which I have worked on include ambulance call dynamics, disease dynamics, forestry, earthquakes, fires and climate change.
I am one of the authors of the R package ‘stlnpp’ which does statistical analyses of spatio-temporal point patterns on linear networks (https://cran.r-project.org/web/packages/stlnpp/index.html). In addition, I have been labelled “substantial contributor” by the team behind the R package “spatstat”.
Before joining the School of Public Health & Community Medicine at University of Gothenburg, I was an Assistant Professor in mathematical statistics at Umeå University (2015-2020), a postdoc at the research centre CWI in Amsterdam (2013-2014) and a senior lecturer in mathematics at Anton de Kom University, Surinam (2012). I earned my PhD in mathematical statistics from Chalmers University of Technology in 2012 (under the supervision of Professor Aila Särkkä).
Postdocs (main supervisor):
- Fekadu Bayisa, Umeå University, Sweden (2018-2020). Topic: Modelling and forecasting of emergency calls.
- Mohammad Ghorbani, Umeå University, Sweden (2018-2020). Topic: Large-scale spatio-temporal modelling of forests
PhD students (co-supervisor):
- Konstantinos Konstantinou, Chalmers University of Technology, Sweden (2020-).
- Fekadu Bayisa, Umeå University, Sweden (2015-2018). Thesis title: Statistical Methods in Medical Image Estimation and Sparse Signal Recovery.
- Adina Iftimi, Universitat de Valencia, Burjassot, Spain (2014-2017). Thesis title: Methods for the statistical analysis of spatio-temporal data.
Further details about my work can be found on:
-
Inhomogeneous higher-order summary statistics for point processes on linear
networks
Ottmar Cronie, Mehdi Moradi, Jorge Mateu
Statistics and computing - 2020-01-01 -
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox
processes
F. L. Bayisa, M. Adahl, P. Ryden, Ottmar Cronie
Spatial Statistics - 2020-01-01 -
Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional
data
Mohammad Ghorbani, Ottmar Cronie, Jorge Mateu, Jun Yu
Test - 2020-01-01 -
Spatio-temporal point patterns on linear networks: Pseudo-separable intensity
estimation
Jorge Mateu, Mehdi Moradi, Ottmar Cronie
Spatial Statistics - 2019-01-01 -
Concurrent climate extremes in the key wheat producing regions of the
world
Andrea Toreti, Ottmar Cronie, Matteo Zampieri
Scientific Reports - 2019-01-01 -
Second-order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake
data
A. Iftimi, Ottmar Cronie, F. Montes
Scandinavian Journal of Statistics - 2019-01-01 -
Resample-smoothing of Voronoi intensity
estimators
M. Mehdi Moradi, Ottmar Cronie, Ege Rubak, Raphael Lachieze-Rey, Jorge Mateu, Adrian Baddeley
Statistics and Computing - 2019-01-01 -
The Exceptional 2018 European Water Seesaw Calls for Action on
Adaptation
Andrea Toreti, Alan Belward, Ignacio Perez-Dominguez, Gustavo Naumann, Jürg Luterbacher, Ottmar Cronie, Lorenzo Seguini, Giacinto Manfron, Raul Lopez-Lozano, Bettina Baruth, Maurits van den Berg, Frank Dentener, Andrej Ceglar, Thomas Chatzopoulos, Matteo Zampieri
Earth's Future - 2019-01-01 -
Adaptive algorithm for sparse signal
recovery
Fekadu L. Bayisa, Zhiyong Zhou, Ottmar Cronie, Jun Yu
Digital Signal Processing: A Review Journal - 2019-01-01 -
A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity
functions
Ottmar Cronie, M. N.M. Van Lieshout
Biometrika - 2018-01-01 -
Summary statistics for inhomogeneous marked point
processes
Ottmar Cronie, M. N.M. van Lieshout
Annals of the Institute of Statistical Mathematics - 2016-01-01 -
Spatio-temporal point process statistics: A
review
Jonatan A. González, Francisco J. Rodríguez-Cortés, Ottmar Cronie, Jorge Mateu
Spatial Statistics - 2016-01-01 -
The discretely observed immigration-death process: Likelihood inference and spatiotemporal
applications
Ottmar Cronie, Jun Yu
Communications in Statistics - Theory and Methods - 2016-01-01 -
A J-function for Inhomogeneous Spatio-temporal Point
Processes
Ottmar Cronie, M. N.M. van Lieshout
Scandinavian Journal of Statistics - 2015-01-01 -
Spatiotemporal Modeling of Swedish Scots Pine
Stands
Ottmar Cronie, K. Nystrom, J. Yu
Forest Science - 2013-01-01 -
Some edge correction methods for marked spatio-temporal point process
models
Ottmar Cronie, Aila Särkkä
Computational Statistics & Data Analysis - 2011-01-01 -
Modelling and Inference for Spatio-Temporal Marked Point
Processes
Ottmar Cronie
- 2011-01-01 -
Different Aspects of Inference for Spatio-Temporal Point
Processes
Ottmar Cronie
- 2010-01-01 -
Maximum likelihood estimation in a discretely observed immigration-death
process
Ottmar Cronie, Jun Yu
- 2010-01-01 -
Some edge correction methods for marked spatio-temporal point process
models
Ottmar Cronie
- 2010-01-01