Results 31 to 40 of about 70,549 (302)
A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents
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
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Generalized Additive Models for Predicting Sea Level Rise in Coastal Florida
Within the last century, the global sea level has risen between 16 and 21 cm and will likely accelerate into the future. Projections from the Intergovernmental Panel on Climate Change (IPCC) show the global mean sea level (GMSL) rise may increase to up ...
Hanna N. Vaidya +4 more
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Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models
Wildfires are relevant sources of PM emissions and can have an important impact on air pollution and human health. In this study, we examine the impact of wildfire PM emissions on the Piemonte (Italy) air quality regional monitoring network using a ...
Gianluca Leone +6 more
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PEMODELAN PRODUKTIVITAS PADI DENGAN MENGGUNAKAN GENERALIZED ADDITIVE MODELS DI PROVINSI BANTEN
Tujuan dari penelitian ini adalah untuk melakukan pemodelan produktivitas padi. Sumber data yang digunakan dalam penelitian ini adalah data produktivitas padi, penggunaan pupuk, penggunaan benih, sistem tanam, serangan OPT, dampak perubahan iklim, dan ...
Wahyudi Manurung, Muhammad Fajar, Noviar
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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
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Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
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Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression
This paper proposes Maximal Associated Regression (MAR), a novel algorithm that performs forward stage-wise regression by applying nonlinear transformations to fit predictor covariates.
Sanush K. Abeysekera +3 more
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Data-driven estimation of the hydrologic response using generalized additive models [PDF]
Estimating the hydrologic response of watersheds to precipitation events is key to understanding streamflow generation processes. Impulse Response Functions, commonly referred to as the Instantaneous Unit Hydrograph (IUH) in hydrology, have been used for
Q. Duchemin +9 more
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Penalized additive regression for space-time data: a Bayesian perspective [PDF]
We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Stefan Lang +5 more
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BayesX: Analyzing Bayesian Structural Additive Regression Models
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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