搜索结果: 1-15 共查到“Additive models”相关记录17条 . 查询时间(0.078 秒)
Generalized additive models for medical research
Generalized additive models medical research
2015/8/21
This article reviews flexible statistical methods that are useful for characterizing the effect of potential prognostic factors on disease endpoints. Applications to survival models and binary outcome...
We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterplots; examples of these ...
Generalized linear and generalized additive models in studies of species distributions:setting the scene
Statistical modeling Generalized linear model Generalized additive model Species distribution Predictive modeling
2015/8/21
An important statistical development of the last 30 years has been the advance in regression analysis provided by generalized linear models (GLMs) and generalized additive models (GAMs). Here we intro...
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
Distribution Environment Fish Freshwater Generalized additive model Multivariate adaptive regression splines
2015/8/21
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwat...
A distributed algorithm for fitting generalized additive models
Convex optimization Distributed optimization Generalized additive models
2015/8/7
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
A Distributed Algorithm for Fitting Generalized Additive Models
Convex optimization Distributed optimization Generalized additive models
2015/7/9
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
Generalized additive models as an alternative approach to the modelling of the tree height-diameter relationship
nonparametric method Norway spruce Petterson function
2015/7/2
Generalized additive models were tested using three types of smoothing functions as an alternative for
modelling the height curve. The models were produced for 23 forest stands of Norway spruce (Pic...
Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
auction data functional data analysis functional regression linear mixed models measurement error MCMC penalized splines variational inference
2013/6/14
The functional generalized additive model (FGAM) was recently proposed in McLean et al. (2012) as a more flexible alternative to the common functional linear model (FLM) for regressing a scalar on fun...
Asymptotics for penalized splines in generalized additive models
Asymptotic normality B-spline Generalized additive model Mixed model Pe-nalized spline
2012/9/17
This paper discusses asymptotic theory for penalized spline estimators in generalized additive models. The purpose of this paper is to establish the asymptotic bias and variance as well as the asympto...
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Additive models sparsity regression estimation PAC-Bayesian bounds oracle inequality MCMC stochastic search.
2012/9/17
The present paper is about estimation and prediction in high-dimensional additive models under a sparsity assumption (p nparadigm).A PAC-Bayesian strategy is investigated, delivering oracle inequaliti...
Two-step estimation of high dimensional additive models
additive model group Lasso penalized least squares.
2012/9/19
This paper investigates the two-step estimation of a high dimensional additive regression model, in which the number of nonparametric additive components is potentially larger than the sample size but...
Estimation in additive models with highly or nonhighly correlated covariates
Additive model backfitting local linear smoothing normalizatio
2010/10/14
Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel appr...
Deciphering the effect of climate change and separating the influence of confounding factors in sediment core records using additive models
Deciphering the effect of climate change separating the influence of confounding factors sediment core records using additive models
2014/4/17
We describe a new approach to modeling sediment core records, one that uses additive models (AMs) incorporating a serial correlation structure to model residual autocorrelation. Species assemblages, f...
MODELING THE SHORT-TERM EFFECT OF TRAFFIC ON AIR POLLUTION IN TORINO WITH GENERALIZED ADDITIVE MODELS
urban area air quality vehicular traffi c CO NO2 NOx NO PM generalized additive models.
2014/6/24
Vehicular traffic typically plays an important role in atmospheric pollution. This is especially true in urban areas, where high pollutant concentrations are often observed. In this paper, we con...
Modelling trends in OH radical concentrations using generalized additive models
Modelling trends OH radical concentrations generalized additive models
2009/3/31
During the TORCH campaign a zero dimensional box model based on the Master Chemical Mechanism was used to model concentrations of OH radicals. The model provided a close overall fit to measured concen...