3 citations · 5 across the 9 of their papers we have counts for
13 papers
A Two-Step Spatio-Temporal Framework for Turbine-Height Wind Estimation at Unmonitored Sites from Sparse Meteorological Data
Eamonn Organ, Maeve Upton, Denis Allard +2
Accurate estimates of wind speeds at wind turbine hub heights are crucial for both wind resource assessment and day-to-day management of electricity grids with high renewable penet…
The SPDE approach for spatio-temporal datasets with advection and diffusion
Lucia Clarotto, Denis Allard, Thomas Romary +1
In the task of predicting spatio-temporal fields in environmental science using statistical methods, introducing statistical models inspired by the physics of the underlying phenom…
Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach
Mike Pereira, Nicolas Desassis, Denis Allard
Large or very large spatial (and spatio-temporal) datasets have become common place in many environmental and climate studies. These data are often collected in non-Euclidean space…
Spatial statistics and stochastic partial differential equations: a mechanistic viewpoint
Lionel Roques, Denis Allard, Samuel Soubeyrand
The Stochastic Partial Differential Equation (SPDE) approach, now commonly used in spatial statistics to construct Gaussian random fields, is revisited from a mechanistic perspecti…
A new class of -transformations for the spatial analysis of Compositional Data
Lucia Clarotto, Denis Allard, Alessandra Menafoglio
Georeferenced compositional data are prominent in many scientific fields and in spatial statistics. This work addresses the problem of proposing models and methods to analyze and p…
Modeling and simulating depositional sequences using latent Gaussian random fields
Denis Allard, Paolo Fabbri, Carlo Gaetan
Simulating a depositional (or stratigraphic) sequence conditionally on borehole data is a long-standing problem in hydrogeology and in petroleum geostatistics. This paper presents…