Articles with public access mandates - Adam SykulskiLearn more
Available somewhere: 21
A global surface drifter data set at hourly resolution
S Elipot, R Lumpkin, RC Perez, JM Lilly, JJ Early, AM Sykulski
Journal of Geophysical Research: Oceans 121 (5), 2937-2966, 2016
Mandates: US National Science Foundation
Fractional Brownian motion, the Matérn process, and stochastic modeling of turbulent dispersion
JM Lilly, AM Sykulski, JJ Early, SC Olhede
Nonlinear Processes in Geophysics 24, 481-514, 2017
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
The debiased Whittle likelihood
AM Sykulski, SC Olhede, AP Guillaumin, JM Lilly, JJ Early
Biometrika 106 (2), 251-266, 2019
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Lagrangian Time Series Models for Ocean Surface Drifter Trajectories
AM Sykulski, SC Olhede, JM Lilly, E Danioux
Journal of the Royal Statistical Society (Series C): Applied Statistics 65 …, 2016
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Frequency-domain stochastic modeling of stationary bivariate or complex-valued signals
AM Sykulski, SC Olhede, JM Lilly, JJ Early
IEEE Transactions on Signal Processing 65 (12), 3136-3151, 2017
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
A widely linear complex autoregressive process of order one
AM Sykulski, SC Olhede, JM Lilly
IEEE Transactions on Signal Processing 64 (23), 6200-6210, 2016
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
A dataset of hourly sea surface temperature from drifting buoys
S Elipot, A Sykulski, R Lumpkin, L Centurioni, M Pazos
Scientific data 9 (1), 567, 2022
Mandates: US National Science Foundation, US National Oceanic and Atmospheric …
The debiased spatial whittle likelihood
AP Guillaumin, AM Sykulski, SC Olhede, FJ Simons
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
Mandates: European Commission
Estimating the parameters of ocean wave spectra
JP Grainger, AM Sykulski, P Jonathan, K Ewans
Ocean Engineering 229, 108934, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Estimating the travel time and the most likely path from Lagrangian drifters
M O’Malley, AM Sykulski, R Laso-Jadart, MA Madoui
Journal of Atmospheric and Oceanic Technology 38 (5), 1059-1073, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Identifying and responding to outlier demand in revenue management
N Rennie, C Cleophas, AM Sykulski, F Dost
European Journal of Operational Research 293 (3), 1015-1030, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Smoothing and interpolating noisy GPS data with smoothing splines
JJ Early, AM Sykulski
Journal of Atmospheric and Oceanic Technology 37 (3), 449-465, 2020
Mandates: US National Science Foundation, US Department of Defense, UK Engineering and …
Nonparametric time series summary statistics for high-frequency accelerometry data from individuals with advanced dementia
K Suibkitwanchai, AM Sykulski, G Perez Algorta, D Waller, C Walshe
PLoS One 15 (9), e0239368, 2020
Mandates: National Institute for Health Research, UK
Analysis of non‐stationary modulated time series with applications to oceanographic surface flow measurements
AP Guillaumin, AM Sykulski, SC Olhede, JJ Early, JM Lilly
Journal of Time Series Analysis 38 (5), 668-710, 2017
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations
R Laso-Jadart, M O’Malley, AM Sykulski, C Ambroise, MA Madoui
BMC Ecology and Evolution 23 (1), 46, 2023
Mandates: Agence Nationale de la Recherche
Separating mesoscale and submesoscale flows from clustered drifter trajectories
S Oscroft, AM Sykulski, JJ Early
Fluids 6 (1), 14, 2020
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
Probabilistic Prediction of Oceanographic Velocities with Multivariate Gaussian Natural Gradient Boosting
M O’Malley, AM Sykulski, R Lumpkin, A Schuler
Environmental Data Science 2, e10, 2023
Mandates: US National Oceanic and Atmospheric Administration, UK Engineering and …
Analysing and visualising bike-sharing demand with outliers
N Rennie, C Cleophas, AM Sykulski, F Dost
Discover Data 1 (1), 1, 2023
Mandates: UK Engineering and Physical Sciences Research Council
A power variance test for nonstationarity in complex-valued signals
TE Bartlett, AM Sykulski, SC Olhede, JM Lilly, JJ Early
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
Mandates: UK Engineering and Physical Sciences Research Council
A multivariate pseudo-likelihood approach to estimating directional ocean wave models
JP Grainger, AM Sykulski, K Ewans, HF Hansen, P Jonathan
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (3 …, 2023
Mandates: UK Engineering and Physical Sciences Research Council
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