Results 51 to 60 of about 4,541 (238)
Extensions of the Penalized Spline of Propensity Prediction Method of Imputation [PDF]
Biometrics, 2009 Summary Little and An (2004, Statistica Sinica 14, 949–968) proposed a penalized spline of propensity prediction (PSPP) method of imputation of missing values that yields robust model‐based inference under the missing at random assumption. The propensity score for a missing variable is estimated and a regression model is fitted that includes the ...
Zhang, Guangyu, Little, Roderick J. A.
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Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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A Note on Penalized Spline Smoothing With Correlated Errors
Journal of the American Statistical Association, 2007 We investigate the behavior of data-driven smoothing parameters for penalized spline regression in the presence of correlated data. It has been shown for other smoothing methods that mean squared error minimizers, such as (generalized) cross-validation or the Akaike information criterion, are extremely sensitive to misspecifications of the correlation ...
Krivobokova, Tatyana, Kauermann, Goran
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ModellingThis research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods.
Autcha Araveeporn
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Edge Fluid Turbulence Simulations of Stellarators With GRILLIX
Contributions to Plasma Physics, EarlyView.ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir +4 more
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ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
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Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
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, 2012 Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-concave Penalized Regression Spline. This proposal method not only produces smoothing spline with optimal convergence rate, but also can adaptively select optimal knots ...
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Journal of Statistical Software, 2010 Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data.
Vito M. R. Muggeo
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MathematicsReliability studies frequently employ progressive censoring schemes that remove surviving units during testing, yet statistical inference under such designs remains vulnerable to parametric model misspecification.
Sherif I. Ammar +3 more
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