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Published in Ocean Engineering, 2021
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Recommended citation: Jake Grainger, Adam Sykulski, Philip Jonathan, Kevin Ewans, "Estimating the parameters of ocean wave spectra." Ocean Engineering, 2021.
Published in Journal of the Royal Statistical Society Series C: Applied Statistics, 2023
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Recommended citation: Jake Grainger, Adam Sykulski, Kevin Ewans, Hans Hansen, Philip Jonathan, "A multivariate pseudo-likelihood approach to estimating directional ocean wave models." Journal of the Royal Statistical Society Series C: Applied Statistics, 2023.
Published in IEEE Signal Processing Letters, 2023
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Recommended citation: Jake Grainger, Tuomas Rajala, David Murrell, Sofia Olhede, "Visualizing the Wavenumber Content of a Point Pattern." IEEE Signal Processing Letters, 2023.
Published in IEEE Transactions on Information Theory, 2023
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Recommended citation: Tuomas Rajala, Sofia Olhede, Jake Grainger, David Murrell, "What is the Fourier transform of a spatial point process?." IEEE Transactions on Information Theory, 2023.
Published in arXiv preprint arXiv:2312.10176, 2024
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Recommended citation: Jake Grainger, Tuomas Rajala, David Murrell, Sofia Olhede, "Spectral estimation for spatial point processes and random fields." arXiv preprint arXiv:2312.10176, 2024.
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Talk given at CFE-CMStatistics 2020
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Talk given at Royal Statistical Society 2021 International Conference
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Talk given at Ocean Sciences Meeting
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Talk given at Workshop on Environmental Time Series Analysis, Maastricht University – School of Business and Economics
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Talk given at 2023 IMS International Conference on Statistics and Data Science (ICSDS)
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Talk given at Online Seminar on Spatial and spatio-temporal Point processes and beyond
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Talk given at Royal Statistical Society 2024 International Conference
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Talk given at Imperial Statistics Seminar
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Upcoming talk at Royal Statistical Society 2025 International Conference
Undergraduate course, Lancaster University, 2019
Running tutorials and marking coursework for first year undergraduate courses in the MATH110 stream
Undergraduate course, Lancaster University, 2020
Running tutorials and marking coursework for third year Time Series Analysis (MATH334)
Intern supervision, Lancaster University, 2020
Jack McGinn, Modelling waves in the ocean
Intern supervision, Lancaster University, 2021
Megan Harries, Exploring the impact of input uncertainty on the response of floating wind turbines
Undergraduate course, Lancaster University, 2021
Running tutorials and marking coursework for second year Computational mathematics (MATH245)
Undergraduate course, Lancaster University, 2022
Running tutorials and marking student presentations for Project Skills (MATH240)
Master semester project supervision, EPFL, 2023
Jadda Abdelmoghite, Resampling for spectral analysis of random fields
Master's thesis project supervision, EPFL, 2023
Qayis Beji, Spline based estimation for spectra of isotropic random fields
Undergraduate course, EPFL, 2023
Teaching assistant for Probability and statistics I (MATH-231)
Master semester project supervision, EPFL, 2024
Charles Gendreau, Multivariate time series analysis
Undergraduate course, EPFL, 2024
Teaching assistant for Time Series (MATH-342)
Undergraduate course, EPFL, 2024
Guest lecturer for Time Series (MATH-342)
Bachelor semester project supervision, EPFL, 2024
Axel Turin-Plessia, Modeling ocean currents with ARMA processes
Bachelor semester project supervision, EPFL, 2025
Camille Gilson, Multivariate time series and multitaper estimation
Master's thesis project supervision, EPFL, 2025
Rayan Sandid, Measuring the complexity of non-stationary stochastic processes
Undergraduate course, EPFL, 2025
Teaching assistant for Time Series (MATH-342)
Undergraduate course, EPFL, 2025
Guest lecturer for Time Series (MATH-342)