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05/22/2023
Conditional normalization in time series analysis
Time series often reflect variation associated with other related variab...
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05/02/2023
Increasing trust in new data sources: crowdsourcing image classification for ecology
Crowdsourcing methods facilitate the production of scientific informatio...
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04/19/2023
Graph Neural Network-Based Anomaly Detection for River Network Systems
Water is the lifeblood of river networks, and its quality plays a crucia...
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11/18/2022
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Building on a strong foundation of philosophy, theory, methods and compu...
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09/09/2022
clusterBMA: Bayesian model averaging for clustering
Various methods have been developed to combine inference across multiple...
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06/10/2022
Bayesian Design with Sampling Windows for Complex Spatial Processes
Optimal design facilitates intelligent data collection. In this paper, w...
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03/08/2022
On the intrinsic dimensionality of Covid-19 data: a global perspective
This paper aims to develop a global perspective of the complexity of the...
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02/15/2022
SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks
Spatio-temporal models are widely used in many research areas from ecolo...
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03/05/2021
Bayesian spatio-temporal models for stream networks
Spatio-temporal models are widely used in many research areas including ...
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06/01/2020
Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective
Many research domains use data elicited from "citizen scientists" when a...
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03/16/2020
Bayesian item response models for citizen science ecological data
So-called citizen science data elicited from crowds has become increasin...
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02/11/2020
The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball
A new range of statistical analysis has emerged in sports after the intr...
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08/15/2018
