Automatic smoothing parameter selection in GAMLSS with an application to centile estimation
RA Rigby, DM Stasinopoulos - Statistical methods in …, 2014 - journals.sagepub.com
A method for automatic selection of the smoothing parameters in a generalised additive
model for location, scale and shape (GAMLSS) model is introduced. The method uses a P …
model for location, scale and shape (GAMLSS) model is introduced. The method uses a P …
gamboostLSS: An R package for model building and variable selection in the GAMLSS framework
B Hofner, A Mayr, M Schmid - Journal of Statistical Software, 2016 - jstatsoft.org
Generalized additive models for location, scale and shape are a flexible class of regression
models that allow to model multiple parameters of a distribution function, such as the mean …
models that allow to model multiple parameters of a distribution function, such as the mean …
Nonstationary flood and low flow frequency analysis in the upper reaches of Huaihe River Basin, China, using climatic variables and reservoir index as covariates
Conventional water infrastructure designs for flood and low flows are usually based on the
assumption of stationarity of extreme events. However, recent evidence suggests that the …
assumption of stationarity of extreme events. However, recent evidence suggests that the …
The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models
This paper investigates the skill of 90-day low-flow forecasts using two conceptual
hydrological models and one data-driven model based on Artificial Neural Networks (ANNs) …
hydrological models and one data-driven model based on Artificial Neural Networks (ANNs) …
Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices
Streamflow droughts, characterized by low runoff as consequence of a drought event, affect
numerous aspects of life. Economic sectors that are impacted by low streamflow are, eg …
numerous aspects of life. Economic sectors that are impacted by low streamflow are, eg …
Statistical downscaling of rainfall: a non-stationary and multi-resolution approach
A novel downscaling technique is proposed in this study whereby the original rainfall and
reanalysis variables are first decomposed by wavelet transforms and rainfall is modelled …
reanalysis variables are first decomposed by wavelet transforms and rainfall is modelled …
Rainfall-runoff relationships at event scale in western Mediterranean ephemeral streams
Ephemeral streams are highly dependent on rainfall and terrain characteristics and,
therefore, very sensitive to minor changes in these environments. The western …
therefore, very sensitive to minor changes in these environments. The western …
A two-step modelling approach to map the occurrence and quantity of soil inorganic carbon
Soil inorganic carbon (SIC) accounts for approximately 30–40% of global soil carbon stocks
and up to 90% of total carbon stocks in arid and semi-arid regions. The quantity of SIC can …
and up to 90% of total carbon stocks in arid and semi-arid regions. The quantity of SIC can …
Reliable hourly streamflow forecasting with emphasis on ephemeral rivers
Ephemeral rivers pose considerable challenges for hydrological forecasters. A staged error
model is devised for hourly streamflow forecasting with emphasis on ephemeral rivers. Apart …
model is devised for hourly streamflow forecasting with emphasis on ephemeral rivers. Apart …
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions
P-splines are a versatile statistical modelling tool, dealing with nonlinear relationships
between the response and explanatory variable (s). GAMLSS is a distributional regression …
between the response and explanatory variable (s). GAMLSS is a distributional regression …