Results 1 to 10 of about 315,437 (261)
Generalized Sparse Additive Models. [PDF]
J Mach Learn Res, 2022 We present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class of penalized regression estimators, encompassing many existing methods. An efficient computational algorithm for this class is presented that easily scales to thousands of observations and features.
Haris A, Simon N, Shojaie A.
europepmc +6 more sources
Error Bound of Mode-Based Additive Models [PDF]
Entropy, 2021 Due to their flexibility and interpretability, additive models are powerful tools for high-dimensional mean regression and variable selection. However, the least-squares loss-based mean regression models suffer from sensitivity to non-Gaussian noises ...
Hao Deng +3 more
doaj +2 more sources
Third-variable effect analysis with multilevel additive models. [PDF]
PLoS ONE, 2020 Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Third-variable effect analysis has been broadly studied in many fields.
Qingzhao Yu, Bin Li
doaj +2 more sources
Modelling Palaeoecological Time Series Using Generalised Additive Models
Frontiers in Ecology and Evolution, 2018 In the absence of annual laminations, time series generated from lake sediments or other similar stratigraphic sequences are irregularly spaced in time, which complicates formal analysis using classical statistical time series models.
Gavin L. Simpson
doaj +3 more sources
Vector Generalized Additive Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY Vector smoothing is used to extend the class of generalized additive models in a very natural way to include a class of multivariate regression models. The resulting models are called ‘vector generalized additive models‘. The class of models for which the methodology gives generalized additive extensions includes the multiple ...
Christopher Wild
exaly +3 more sources
Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models
Energies, 2018 Short-term hourly load forecasting in South Africa using additive quantile regression (AQR) models is discussed in this study. The modelling approach allows for easy interpretability and accounting for residual autocorrelation in the joint modelling of ...
Caston Sigauke +2 more
doaj +3 more sources
In-water observations highlight the effects of provisioning on whale shark behaviour at the world's largest whale shark tourism destination [PDF]
Royal Society Open Science, 2020 The whale shark is the world's largest fish that forms predictable aggregations across its range, many of which support tourism industries. The largest non-captive provisioned whale shark destination globally is at Oslob, Philippines, where more than 500
Christine Legaspi +5 more
doaj +1 more source
O analiză a modelelor de energie pentru servere dintr-un centru de date [PDF]
Revista Română de Informatică și Automatică, 2020 The increase in the number of Data Centers, in recent years, generates an increasing consumption of energy, with a considerable impact on global energy consumption and effects on the environment.
Delia Mihaela RĂDULESCU +1 more
doaj +1 more source
It More than Adds Up: Interaction of Antibiotic Mixing and Temperature
Life, 2021 Use of antibiotics for the treatment and prevention of bacterial infections in humans, agri- and aquaculture as well as livestock rearing leads to antibiotic pollution of fresh water and these antibiotics have an impact on free-living bacteria.
Marie-Claire Danner +5 more
doaj +1 more source
Parsimonious additive models [PDF]
Computational Statistics & Data Analysis, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avalos, Marta +2 more
openaire +2 more sources