Items where Author is "Lilly, Jonathan M."

Journal Article

Sykulski, Adam M. and Olhede, Sofia C. and Guillaumin, Arthur P. and Lilly, Jonathan M. and Early, Jeffrey J. (2019) The debiased Whittle likelihood. Biometrika, 106 (2). pp. 251-266. ISSN 0006-3444

Guillaumin, Arthur P. and Sykulski, Adam M. and Olhede, Sofia C. and Early, Jeffrey J. and Lilly, Jonathan M. (2017) Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements. Journal of Time Series Analysis, 38 (5). pp. 668-710. ISSN 0143-9782

Lilly, Jonathan M. and Sykulski, Adam M and Early, Jeffrey J. and Olhede, Sofia C and May, M. E. (2017) Fractional Brownian Motion, the Matérn Process, and Stochastic Modeling of Turbulent Dispersion. Nonlinear Processes in Geophysics, 24. pp. 481-514. ISSN 1023-5809

Sykulski, Adam M. and Olhede, Sofia Charlotta and Lilly, Jonathan M. and Early, Jeffrey J. (2017) Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals. IEEE Transactions on Signal Processing, 65 (12): 7884990. pp. 3136-3151. ISSN 1053-587X

Sykulski, Adam M. and Olhede, Sofia C. and Lilly, Jonathan M. (2016) A Widely Linear Complex Autoregressive Process of Order One. IEEE Transactions on Signal Processing, 64 (23): 7539658. pp. 6200-6210. ISSN 1053-587X

Elipot, Shane and Lumpkin, Rick and Perez, Renellys C. and Lilly, Jonathan M. and Early, Jeffrey J. and Sykulski, Adam M. (2016) A global surface drifter data set at hourly resolution. Journal of Geophysical Research: Oceans, 121 (5). pp. 2937-2966. ISSN 2169-9275

Sykulski, Adam M. and Olhede, Sofia C. and Lilly, Jonathan M. and Danioux, Eric (2016) Lagrangian time series models for ocean surface drifter trajectories. Journal of the Royal Statistical Society: Series C (Applied Statistics), 65 (1). pp. 29-50. ISSN 0035-9254

Contribution in Book/Report/Proceedings

Bartlett, Thomas E. and Sykulski, Adam M. and Olhede, Sofia C. and Lilly, Jonathan M. and Early, Jeffrey J. (2015) A power variance test for nonstationarity in complex-valued signals. In: Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015 :. Institute of Electrical and Electronics Engineers Inc., USA, pp. 911-916. ISBN 9781509002870