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Generalized Sparse Additive Models. [PDF]
J Mach Learn Res, 2022 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 A, Simon N, Shojaie A.
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Error Bound of Mode-Based Additive Models [PDF]
Entropy, 2021 Due to their flexibility and interpretability, additive models are powerful tools for high-dimensional mean regression and variable selection. However, the least-squares loss-based mean regression models suffer from sensitivity to non-Gaussian noises ...
Hao Deng +3 more
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Third-variable effect analysis with multilevel additive models. [PDF]
PLoS ONE, 2020 Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Third-variable effect analysis has been broadly studied in many fields.
Qingzhao Yu, Bin Li
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In-water observations highlight the effects of provisioning on whale shark behaviour at the world's largest whale shark tourism destination [PDF]
Royal Society Open Science, 2020 The whale shark is the world's largest fish that forms predictable aggregations across its range, many of which support tourism industries. The largest non-captive provisioned whale shark destination globally is at Oslob, Philippines, where more than 500
Christine Legaspi +5 more
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O analiză a modelelor de energie pentru servere dintr-un centru de date [PDF]
Revista Română de Informatică și Automatică, 2020 The increase in the number of Data Centers, in recent years, generates an increasing consumption of energy, with a considerable impact on global energy consumption and effects on the environment.
Delia Mihaela RĂDULESCU +1 more
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Parsimonious additive models [PDF]
Computational Statistics & Data Analysis, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avalos, Marta +2 more
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Generalized Additive Models [PDF]
Statistical Science, 1984 The classical linear regression model expresses the response vector Y as a function of the predictor variables \(X_ i\) through the model \(Y=\sum_{i}X_ i\beta_ i+e\), where the \(X_ i\) are observed, the \(\beta_ i\) are estimated by least squares or some other technique, e is the vector of errors.
Hastie, Trevor, Tibshirani, Robert
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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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It More than Adds Up: Interaction of Antibiotic Mixing and Temperature
Life, 2021 Use of antibiotics for the treatment and prevention of bacterial infections in humans, agri- and aquaculture as well as livestock rearing leads to antibiotic pollution of fresh water and these antibiotics have an impact on free-living bacteria.
Marie-Claire Danner +5 more
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Jurnal Matematika Integratif, 2020 The purpose of this study was to predict seasonal time series data using the Holt-Winters exponential smoothing additive model. The data used in this study is data on the number of passengers departing at Hasanudin Airport in 2009-2019, the source of ...
Nurhamidah Nurhamidah +2 more
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