Stochastic‐Deep Learning Parameterization of Ocean Momentum Forcing von Guillaumin, Arthur P., Zanna, Laure

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The Debiased Spatial Whittle likelihood von Guillaumin, Arthur P., Sykulski, Adam M., Olhede, Sofia C., Simons, Frederik J.

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Analysis of Non‐Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements von Guillaumin, Arthur P., Sykulski, Adam M., Olhede, Sofia C., Early, Jeffrey J., Lilly, Jonathan M.

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Tukey g-and-h neural network regression for non-Gaussian data von Guillaumin, Arthur P, Efremova, Natalia

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Quasi-likelihood inference for modulated non-stationary time series von Guillaumin, Arthur P

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Tukey g-and-h neural network regression for non-Gaussian data von Guillaumin, Arthur P, Efremova, Natalia

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The Debiased Spatial Whittle Likelihood von Guillaumin, Arthur P, Sykulski, Adam M, Olhede, Sofia C, Simons, Frederik J

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The Debiased Spatial Whittle Likelihood von Guillaumin, Arthur P, Sykulski, Adam M, Olhede, Sofia C, Simons, Frederik J

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Analysis of nonstationary modulated time series with applications to oceanographic flow measurements von Guillaumin, Arthur P, Sykulski, Adam M, Olhede, Sofia C, Early, Jeffrey J, Lilly, Jonathan M

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The De-Biased Whittle Likelihood von Sykulski, Adam M, Olhede, Sofia C, Guillaumin, Arthur P, Lilly, Jonathan M, Early, Jeffrey J

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The De-Biased Whittle Likelihood von Sykulski, Adam M, Olhede, Sofia C, Guillaumin, Arthur P, Lilly, Jonathan M, Early, Jeffrey J

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Analysis of nonstationary modulated time series with applications to oceanographic flow measurements von Guillaumin, Arthur P, Sykulski, Adam M, Olhede, Sofia C, Early, Jeffrey J, Lilly, Jonathan M

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