Results 21 to 30 of about 280,435 (260)

Generalized Sparse Additive Models

open access: yesJournal of machine learning research : JMLR, 2019
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, Asad, Simon, Noah, Shojaie, Ali
openaire   +4 more sources

Alpine shrub growth follows bimodal seasonal patterns across biomes – unexpected environmental controls

open access: yesCommunications Biology, 2022
Generalized additive models reveal an unexpected environmental control in shrub growth across biomes.
Svenja Dobbert   +3 more
doaj   +1 more source

Vector Generalized Additive Models

open access: yesJournal 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 ...
Yee, T. W., Wild, C. J.
openaire   +2 more sources

PETA LOKASI PENANGKAPAN IKAN LEMURU DI SELAT BALI

open access: yesJFMR-Journal of Fisheries and Marine Research, 2021
Peta lokasi Penangkapan Ikan (Pelikan) Lemuru merupakan produk peta yang berisikan informasi spasil prediksi daerah penangkapan ikan pelagis kecil di perairan Selat Bali, khususnya ikan lemuru.
Eko Susilo   +2 more
doaj   +1 more source

Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models

open access: yesFisheries and Aquatic Sciences, 2020
Three generalized additive models were applied to the distribution of anchovy eggs and oceanographic factors to determine the occurrence of anchovy spawning grounds in Korean waters and to identify the indicators of their occurrence using ...
Jin Yeong Kim   +2 more
doaj   +1 more source

Modeling the relationship between SARS-CoV-2 RNA in wastewater or sludge and COVID-19 cases in three New England regions

open access: yesJournal of Water and Health, 2022
Background: We aimed to compare statistical techniques estimating the association between SARS-CoV-2 RNA in untreated wastewater and sludge and reported coronavirus disease 2019 (COVID-19) cases.
Elyssa Anneser   +4 more
doaj   +1 more source

BayesX: Analysing Bayesian structured additive regression models [PDF]

open access: yes, 2003
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Brezger, Andreas   +2 more
core   +2 more sources

The Impact of Climate Change on The Geographic Distribution of Thymus Kotschyanus (Boiss and Hohen) Using Ensemble Modelling [PDF]

open access: yesمدیریت بیابان, 2021
This study aimed at predicting the effect of climate change on the geographic distribution of Thymus kotschyanus Boiss and Hohen in Mazandaran province. Species presence data were recorded via the Global Positioning System (GPS).
Samaneh Nazari   +3 more
doaj   +1 more source

Percentile reference curves for normal pancreatic dimensions in Indian children

open access: yesIndian Journal of Radiology and Imaging, 2018
Objectives: This study aims at determining the normal pancreatic dimensions in pediatric age groups considering demographic parameters and thus developing percentile reference curves for normal pancreatic dimensions in Indian children. Setting and Design:
Dhanraj S Raut   +3 more
doaj   +1 more source

A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents

open access: yesRisks, 2020
Using telematics data, we study the relationship between claim frequency and distance driven through different models by observing smooth functions. We used Generalized Additive Models (GAM) for a Poisson distribution, and Generalized Additive Models for
Jean-Philippe Boucher, Roxane Turcotte
doaj   +1 more source

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