BayesX: Analyzing Bayesian Structural Additive Regression Models [PDF]
Journal of Statistical Software, 2005 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)
Andreas Brezger +2 more
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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
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From Shapley Values to Generalized Additive Models and back [PDF]
International Conference on Artificial Intelligence and Statistics, 2022 In explainable machine learning, local post-hoc explanation algorithms and inherently interpretable models are often seen as competing approaches. This work offers a partial reconciliation between the two by establishing a correspondence between Shapley ...
Sebastian Bordt, U. V. Luxburg
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Evaluating the relative importance of predictors in Generalized Additive Models using the gam.hp R package. [PDF]
Plant DiversGeneralized Additive Models (GAMs) are widely employed in ecological research, serving as a powerful tool for ecologists to explore complex nonlinear relationships between a response variable and predictors.
Lai J, Tang J, Li T, Zhang A, Mao L.
europepmc +2 more sources
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions [PDF]
Pattern Recognition, 2020 The lack of interpretability is an inevitable problem when using neural network models in real applications. In this paper, a new explainable neural network called GAMI-Net, based on generalized additive models with structured interactions, is proposed ...
Zebin Yang, Aijun Zhang, A. Sudjianto
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Dynamic Generalised Additive Models (DGAM) for forecasting discrete ecological time series
bioRxiv, 2022 Generalised Additive Models (GAMs) are increasingly popular for describing smooth nonlinear relationships between predictors and response variables. GAMs are particularly relevant in ecology for representing hierarchical functions for discrete responses ...
N. Clark, Konstans Wells
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Evaluation of the effectiveness of the use of additive wax printing technologies for obtaining wax models for lost-wax casting in custom production based on simulation modeling [PDF]
E3S Web of Conferences, 2023 The article discusses the technology of casting according to the smelted models, in particular, the processes of manufacturing wax models. We considered methods of manufacturing elements of model blocks with the use of molds and with the help of additive
Dolgov Nikita +2 more
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‘Additive difference’ models without additivity and subtractivity [PDF]
Journal of Mathematical Psychology, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bouyssou, Denis, Pirlot, Marc
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Interpretable Ranking with Generalized Additive Models
Web Search and Data Mining, 2021 Interpretability of ranking models is a crucial yet relatively under-examined research area. Recent progress on this area largely focuses on generating post-hoc explanations for existing black-box ranking models.
Honglei Zhuang +9 more
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Building a Multiple Linear Regression Model With LEGO Brick Data
Journal of Statistics and Data Science Education, 2021 We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
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