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

Scientific reports, 2019-04, Vol.9 (1), p.5493, Article 5493

2019

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

Statistics and computing, 2020, Vol.30 (5), p.1221-1239

2020

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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, 2024, Vol.29 (2), p.379-388

2024

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

Scientific reports, 2022-03, Vol.12 (1), p.4918-4918, Article 4918

2022

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

Test (Madrid, Spain), 2021, Vol.30 (3), p.529-568

2021

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The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation

Earth's future, 2019-06, Vol.7 (6), p.652-663

2019

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Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern

Journal of agricultural, biological, and environmental statistics, 2023, Vol.28 (4), p.664-683

2023

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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, 2022-12, Vol.4, p.100095, Article 100095

2022

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

Biometrika, 2018-06, Vol.105 (2), p.455-462

2018

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A cross-validation-based statistical theory for point processes

Biometrika, 2024, Vol.111 (2), p.625-641

2024

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

Communications in statistics. Theory and methods, 2016-09, Vol.45 (18), p.5279-5298

2016

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Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes

Journal of computational and graphical statistics, 2024-04, Vol.33 (2), p.588-602

2024

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Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data

Scandinavian journal of statistics, 2019-09, Vol.46 (3), p.661-685

2019

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

Scandinavian journal of statistics, 2019, Vol.46 (3), p.661

2019

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Hierarchical Spatio-Temporal Change-Point Detection

The American statistician, 2023, Vol.77 (4), p.390-400

2023

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

Spatial statistics, 2020-06, Vol.37, p.100400, Article 100400

2020

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Resample-smoothing of Voronoi intensity estimators

Statistics and computing, 2019, Vol.29 (5), p.995-1010

2019

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Spatio-temporal point process statistics: A review

Spatial statistics, 2016-11, Vol.18 (Part B), p.505-544

2016

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

Journal of internal medicine, 2022-10, Vol.292 (4), p.641-653

2022

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A J-function for Inhomogeneous Spatio-temporal Point Processes

Scandinavian journal of statistics, 2015-06, Vol.42 (2), p.562-579

2015

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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, 2023, Vol.33 (5), p.916-922

2023

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Adaptive algorithm for sparse signal recovery

Digital signal processing, 2019-04, Vol.87, p.10-18

2019

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Summary statistics for inhomogeneous marked point processes

Annals of the Institute of Statistical Mathematics, 2016-08, Vol.68 (4), p.905-928

2016

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

Spatial statistics, 2020-10, Vol.39, p.100471, Article 100471

2020

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

Computational statistics & data analysis, 2011-07, Vol.55 (7), p.2209-2220

2011

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

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

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

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

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

The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation

Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern

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

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

A cross-validation-based statistical theory for point processes

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

Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes

Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data

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

Hierarchical Spatio-Temporal Change-Point Detection

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

Resample-smoothing of Voronoi intensity estimators

Spatio-temporal point process statistics: A review

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

A J-function for Inhomogeneous Spatio-temporal Point Processes

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

Adaptive algorithm for sparse signal recovery

Summary statistics for inhomogeneous marked point processes

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

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

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