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Theo Economou

Showing results (1-10 of 21) with videos related to

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Biometrics|November 19, 2019
Multivariate hierarchical frameworks for modeling delayed reporting in count dataOliver Stoner, Theo Economou
Frontiers in Big Data|August 25, 2023
Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solutionHamish Steptoe, Theo Economou
Biometrics|December 9, 2022
Correcting delayed reporting of COVID-19 using the generalized-Dirichlet-multinomial methodOliver Stoner, Alba Halliday, Theo Economou
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 15, 2021
A framework for probabilistic weather forecast post-processing across models and lead times using machine learningCharlie Kirkwood, Theo Economou, Henry Odbert, et al.
Environment International|April 26, 2025
Temperature extremes and human health in Cyprus: Investigating the impact of heat and cold wavesFragkeskos Kekkou, Theo Economou, Georgia Lazoglou, et al.
Statistics in Medicine|April 18, 2026
Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID-19 Positives in BrazilAlba Halliday, Oliver Stoner, Theo Economou, et al.
Peerj|January 16, 2023
A data integration framework for spatial interpolation of temperature observations using climate model dataTheo Economou, Georgia Lazoglou, Anna Tzyrkalli, et al.
Scientific Reports|May 10, 2026
Modelling the impact of climate on cholera: a case study of KolkataDebbie Shackleton, Shanta Dutta, Suman Kanungo, et al.
Harmful Algae|January 13, 2023
Quantifying Spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approachOliver Stoner, Theo Economou, Ricardo Torres, et al.
Epidemics|November 1, 2019
Desirable BUGS in models of infectious diseasesMegan Auzenbergs, Carla Correia-Gomes, Theo Economou, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Biometrics|November 19, 2019
Multivariate hierarchical frameworks for modeling delayed reporting in count dataOliver Stoner, Theo Economou
Frontiers in Big Data|August 25, 2023
Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solutionHamish Steptoe, Theo Economou
Biometrics|December 9, 2022
Correcting delayed reporting of COVID-19 using the generalized-Dirichlet-multinomial methodOliver Stoner, Alba Halliday, Theo Economou
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 15, 2021
A framework for probabilistic weather forecast post-processing across models and lead times using machine learningCharlie Kirkwood, Theo Economou, Henry Odbert, et al.
Environment International|April 26, 2025
Temperature extremes and human health in Cyprus: Investigating the impact of heat and cold wavesFragkeskos Kekkou, Theo Economou, Georgia Lazoglou, et al.
Statistics in Medicine|April 18, 2026
Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID-19 Positives in BrazilAlba Halliday, Oliver Stoner, Theo Economou, et al.
Peerj|January 16, 2023
A data integration framework for spatial interpolation of temperature observations using climate model dataTheo Economou, Georgia Lazoglou, Anna Tzyrkalli, et al.
Scientific Reports|May 10, 2026
Modelling the impact of climate on cholera: a case study of KolkataDebbie Shackleton, Shanta Dutta, Suman Kanungo, et al.
Harmful Algae|January 13, 2023
Quantifying Spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approachOliver Stoner, Theo Economou, Ricardo Torres, et al.
Epidemics|November 1, 2019
Desirable BUGS in models of infectious diseasesMegan Auzenbergs, Carla Correia-Gomes, Theo Economou, et al.
Pageof 3