Results 121 to 130 of about 25,321,415 (248)

Prediction error variance and expected response to selection, when selection is based on the best predictor – for Gaussian and threshold characters, traits following a Poisson mixed model and survival traits

Genetics Selection Evolution, 2002
In this paper, we consider selection based on the best predictor of animal additive genetic values in Gaussian linear mixed models, threshold models, Poisson mixed models, and log normal frailty models for survival data (including models with time ...
Jensen Just, Andersen Anders, Korsgaard Inge   +2 more
doaj   +1 more source

Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall. [PDF]

We consider modelling time series using a generalized additive model with first- order Markov structure and mixed transition density having a discrete component at zero and a continuous component with positive sample space.
Hyndman, R.J., Grunwald, G.K.
core  

Oracally Efficient Two-Step Estimation of Generalized Additive Model [PDF]

Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions.
Wolfgang Karl Härdle, Rong Liu, Lijian Yang   +2 more
core  

Nonparametric estimation of an additive model with a link function [PDF]

This paper describes an estimator of the additive components of a nonparametric additive model with a known link function. When the additive components are twice continuously differentiable, the estimator is asymptotically normally distributed with a ...
Enno Mammen, Joel Horowitz
core  

MATHEMATICAL MODELS FOR ADAPTIVE DESIGN IN ADDITIVE MANUFACTURING

Sustainable Development and Engineering Economics
The article examines the concept of the digital thread in additive manufacturing as a foundation for improving the economic efficiency of the production cycle through intelligent support at the design stage. A mathematical model and algorithmic procedure
Lyubov Nefedova
doaj   +1 more source

Additive Models

, 2012
We give an overview over smooth backfitting type estimators in additive models. Moreover we illustrate their wide applicability in models closely related to additive models such as nonparametric regression with dependent error variables where the errors can be transformed to white noise by a linear transformation, nonparametric regression with ...
Mammen, Enno, Park, Byeong U., Schienle, Melanie   +2 more
openaire   +1 more source

Additive models of probabilistic processes

Theoretical Computer Science, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications [PDF]

An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) – one of the
Klein, Nadja, Mayr, Andreas, Kneib, Thomas, Heller, Gillian Z., Stasinopoulos, Dimitrios M.   +4 more
core   +1 more source

Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models. [PDF]

Commun Med (Lond), 2023
Mellor J, Christie R, Overton CE, Paton RS, Leslie R, Tang M, Deeny S, Ward T.   +7 more
europepmc   +2 more sources

A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models [PDF]

We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature.
Woocheol Kim, Oliver Linton
core