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   Articles with "additive models" as a keyword



Evaluating the robustness of generalized additive models as a tool for threshold detection in variable environments

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recommendations! Published in 2025 at "Ecosphere"

DOI: 10.1002/ecs2.70117

Abstract: As global climate change and anthropogenic activities amplify widespread environmental variability, there is a strong need for management strategies that incorporate relationships between ecosystem components. This need is especially apparent when changes in environmental drivers… read more here.

Keywords: detection; generalized additive; robustness; threshold detection ... See more keywords

Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics

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recommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"

DOI: 10.1002/widm.1479

Abstract: The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and relies… read more here.

Keywords: additive models; generalized additive; scale shape; location scale ... See more keywords

Using generalized additive models for interpolating microclimate in dry-site ponderosa pine forests

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recommendations! Published in 2019 at "Agricultural and Forest Meteorology"

DOI: 10.1016/j.agrformet.2019.107668

Abstract: Abstract Microclimate in the understory of forests can be an important mediating influence for ecological attributes such a vegetation composition, wildlife habitat, fuel moisture, and downed wood and forest floor decomposition processes. Several tools exist… read more here.

Keywords: microclimate; surface; ponderosa pine; additive models ... See more keywords

Tutorial in Biostatistics: The use of generalized additive models to evaluate alcohol consumption as an exposure variable.

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recommendations! Published in 2020 at "Drug and alcohol dependence"

DOI: 10.1016/j.drugalcdep.2020.107944

Abstract: Alcohol consumption is a commonly studied risk factor for many poor health outcomes. Various instruments exist to measure alcohol consumption, including the AUDIT-C, Single Alcohol Screening Questionnaire (SASQ) and Timeline Followback. The information gathered by… read more here.

Keywords: tutorial biostatistics; additive models; alcohol consumption; generalized additive ... See more keywords

Applying generalized additive models to unravel dynamic changes in anthocyanin biosynthesis in methyl jasmonate elicited grapevine (Vitis vinifera cv. Gamay) cell cultures

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recommendations! Published in 2017 at "Horticulture Research"

DOI: 10.1038/hortres.2017.38

Abstract: Plant cell cultures represent important model systems to understand metabolism and its modulation by regulatory factors. Even in controlled conditions, cell metabolism is highly dynamic and can be fully characterized only by time course experiments.… read more here.

Keywords: additive models; methyl jasmonate; generalized additive; cell cultures ... See more keywords
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Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts

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recommendations! Published in 2019 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2018.1529596

Abstract: ABSTRACT Generalized additive model (GAM) forms offer a flexible approach to capturing marginal variation. Such forms are used here to represent distributional variation in extreme values and presented in terms of spatio-temporal variation, which is… read more here.

Keywords: additive models; wind; exceedances high; models exceedances ... See more keywords
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Multiple additive models

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recommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2020.1723636

Abstract: Abstract The models constituting a multiple model will correspond to d treatments of a base design. When we have individual additive models with independent, with independent components, with the th order cumulants, the multiple model… read more here.

Keywords: multiple additive; additive models; methodology; base design ... See more keywords

Additive models with p-order autoregressive skew-normal errors for modeling trend and seasonality in time series

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recommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2024.2444519

Abstract: Abstract. In this article, we propose an additive model in which the random error follows a skew-normal p-order autoregressive (AR) process where the systematic component is approximated by cubic and cyclic cubic regression splines. The… read more here.

Keywords: autoregressive skew; skew normal; models order; order autoregressive ... See more keywords
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Estimation in additive models with fixed censored responses

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recommendations! Published in 2018 at "Journal of Nonparametric Statistics"

DOI: 10.1080/10485252.2018.1537441

Abstract: ABSTRACT We propose a new estimation method to estimate the nonparametric functions in additive models, where the response is subject to fixed censoring. Under some regularity conditions, we show that the proposed estimator is uniformly… read more here.

Keywords: additive models; censored responses; fixed censored; models fixed ... See more keywords
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Scalable Visualization Methods for Modern Generalized Additive Models

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recommendations! Published in 2019 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2019.1629942

Abstract: Abstract In the last two decades, the growth of computational resources has made it possible to handle generalized additive models (GAMs) that formerly were too costly for serious applications. However, the growth in model complexity… read more here.

Keywords: additive models; visualization methods; scalable visualization; generalized additive ... See more keywords

Nonparametric Additive Models for Billion Observations

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recommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2024.2319684

Abstract: Abstract The nonparametric additive model (NAM) is a widely used nonparametric regression method. Nevertheless, due to the high computational burden, classic statistical techniques for fitting NAMs are not well-equipped to handle massive data with billions… read more here.

Keywords: method; billion observations; nonparametric additive; additive models ... See more keywords