Department of Statistics
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- 2027
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Mark
A deep reinforcement learning framework for adaptive control charts
- Contribution to journal › Article
- 2026
-
Mark
Pattern recovery by SLOPE
- Contribution to journal › Article
-
Mark
Bayesian inference for spatial compositional data with exact zeros using gradient-informed MCMC
- Contribution to conference › Abstract
-
Mark
Spatial Modeling of Urban Pluvial Flood Risk on Sewer Networks: A Bayesian Approach for Climate Adaptation in Swedish Municipalities
(2026) The Swedish Climate Symposium 2026
- Contribution to conference › Other
-
Mark
From observed impacts to rainfall thresholds: compound risks of urban pluvial flooding
(2026) The Swedish Climate Symposium 2026
- Contribution to conference › Other
-
Mark
Biogeophysical impact of land-use scenarios on Holocene surface temperatures
(2026) The Swedish Climate Symposium 2026
- Contribution to conference › Poster
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Mark
An Efficient Deep Learning and Statistical Modelling Pipeline for Porosity Analysis in Foraminifera
(2026) The Swedish Climate Symposium 2026
- Contribution to conference › Other
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Mark
Domain-aware matrix completion for phenotype imputation using electronic health record data with applications in genomic research
- Contribution to journal › Article
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Mark
Evaluating the ability of a thermal biology-informed reproduction number to explain patterns of West Nile incidence in Europe
- Contribution to journal › Article
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Mark
A flexible class of latent variable models for the analysis of antibody response data
- Contribution to journal › Article
