14 citations · 20 across the 2 of their papers we have counts for
7 papers
qgam: Bayesian non-parametric quantile regression modelling in R
Matteo Fasiolo, Simon N. Wood, Margaux Zaffran +2
Generalized additive models (GAMs) are flexible non-linear regression models, which can be fitted efficiently using the approximate Bayesian methods provided by the mgcv R package.…
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza, Biagio Palumbo, Yannig Goude +2
Future grid management systems will coordinate distributed production and storage resources to manage, in a cost effective fashion, the increased load and variability brought by th…
COVID-19 and the difficulty of inferring epidemiological parameters from clinical data
Simon N. Wood, Ernst C. Wit, Matteo Fasiolo +1
Knowing the infection fatality ratio (IFR) is of crucial importance for evidence-based epidemic management: for immediate planning; for balancing the life years saved against the l…
Scalable visualisation methods for modern Generalized Additive Models
Matteo Fasiolo, Raphaël Nedellec, Yannig Goude +1
In the last two decades the growth of computational resources has made it possible to handle Generalized Additive Models (GAMs) that formerly were too costly for serious applicatio…
P-splines with derivative based penalties and tensor product smoothing of unevenly distributed data
Simon N. Wood
The P-splines of Eilers and Marx (1996) combine a B-spline basis with a discrete quadratic penalty on the basis coefficients, to produce a reduced rank spline like smoother. P-spli…
Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation
Severin Hauenstein, Carsten F. Dormann, Simon N Wood
Generalised Degrees of Freedom (GDF), as defined by Ye (1998 JASA 93:120-131), represent the sensitivity of model fits to perturbations of the data. As such they can be computed fo…