14 citations · 24 across the 3 of their papers we have counts for
7 papers
Multivariate Probabilistic Regression with Natural Gradient Boosting
Michael O'Malley, Adam M. Sykulski, Rick Lumpkin +1
Many single-target regression problems require estimates of uncertainty along with the point predictions. Probabilistic regression algorithms are well-suited for these tasks. Howev…
Separating Mesoscale and Submesoscale Flows from Clustered Drifter Trajectories
Sarah Oscroft, Adam M. Sykulski, Jeffrey J. Early
Drifters deployed in close proximity collectively provide a unique observational data set with which to separate mesoscale and submesoscale flows. In this paper we provide a princi…
Estimating the parameters of ocean wave spectra
Jake P. Grainger, Adam M. Sykulski, Philip Jonathan +1
Wind-generated waves are often treated as stochastic processes. There is particular interest in their spectral density functions, which are often expressed in some parametric form.…
Nonparametric Time Series Summary Statistics for High-Frequency Accelerometry Data from Individuals with Advanced Dementia
Keerati Suibkitwanchai, Adam M. Sykulski, Guillermo Perez Algorta +2
Accelerometry data has been widely used to measure activity and the circadian rhythm of individuals across the health sciences, in particular with people with advanced dementia. Mo…
Identifying and Responding to Outlier Demand in Revenue Management
Nicola Rennie, Catherine Cleophas, Adam M. Sykulski +1
Revenue management strongly relies on accurate forecasts. Thus, when extraordinary events cause outlier demand, revenue management systems need to recognise this and adapt both for…
Smoothing and Interpolating Noisy GPS Data with Smoothing Splines
Jeffrey J. Early, Adam M. Sykulski
A comprehensive methodology is provided for smoothing noisy, irregularly sampled data with non-Gaussian noise using smoothing splines. We demonstrate how the spline order and tensi…