10 citations · 10 across the 2 of their papers we have counts for
7 papers
Interpretable contour level selection for heat maps for gridded data
Tarn Duong
Gridded data formats, where the observed multivariate data are aggregated into grid cells, ensure confidentiality and reduce storage requirements, with the trade-off that access to…
Statistical visualisation for tidy and geospatial data in R via kernel smoothing methods in the eks package
Tarn Duong
Kernel smoothers are essential tools for data analysis due to their ability to convey complex statistical information with concise graphical visualisations. Their inclusion in the…
Relaxing door-to-door matching reduces passenger waiting times: a workflow for the analysis of driver GPS traces in a stochastic carpooling service
Panayotis Papoutsis, Safa Fennia, Constant Bridon +1
Carpooling has the potential to transform itself into a mass transportation mode by abandoning its adherence to deterministic passenger-driver matching for door-to-door journeys, a…
Higher order differential analysis with vectorized derivatives
José E. Chacón, Tarn Duong
Higher order derivatives of functions are structured high dimensional objects which lend themselves to many alternative representations, with the most popular being multi-index, ma…
Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service
Panayotis Papoutsis, Bertrand Michel, Anne Philippe +1
Carpooling is an integral component in smart carbon-neutral cities, in particular to facilitate homework commuting. We study an innovative carpooling service developed by the start…
Nearest Neighbor Median Shift Clustering for Binary Data
Gaël Beck, Tarn Duong, Mustapha Lebbah +1
We describe in this paper the theory and practice behind a new modal clustering method for binary data. Our approach (BinNNMS) is based on the nearest neighbor median shift. The me…