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03/03/2023
New spatial models for integrating standardized detection-nondetection and opportunistic presence-only data: application to estimating risk factors associated to powerline-indu
The constant increase in energy consumption has created the necessity of...
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06/16/2022
Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes
A digital twin is a computer model that represents an individual, for ex...
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03/30/2022
A Shared Parameter Model for Systolic Blood Pressure Accounting for Data Missing Not at Random in the HUNT Study
In this work, blood pressure eleven years ahead is modeled using data fr...
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01/18/2022
Bayesian calibration of Arterial Windkessel Model
This work is motivated by personalized digital twins based on observatio...
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01/17/2022
Bayesian Calibration of imperfect computer models using Physics-informed priors
In this work we introduce a computational efficient data-driven framewor...
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09/23/2021
Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution
Diurnal temperature range is an important variable in climate science th...
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04/12/2021
A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird populations in mid-Scandinavia
Quantifying species abundance is the basis for spatial ecology and biodi...
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04/04/2019
