Results 51 to 60 of about 4,500 (154)
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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Remote Sensing, 2016 A conceptually simple formulation is proposed for a new empirical sea state bias (SSB) model using information retrieved entirely from altimetric data.
Nelson Pires +3 more
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The penalized Lebesgue constant for surface spline interpolation [PDF]
Proceedings of the American Mathematical Society, 2011 Problems involving approximation from scattered data where data is arranged quasi-uniformly have been treated by RBF methods for decades. Treating data with spatially varying density has not been investigated with the same intensity and is far less well understood.
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Comparison of Significant Approaches of Penalized Spline Regression (P-splines)
Pakistan Journal of Statistics and Operation Research, 2018 Over the last two decades P-Splines have become a popular modeling tool in a wide class of statistical contexts. Fundamentally, semiparametric regression methods combine the leads of parametric and nonparametric approaches to regression analysis, while in precise, penalized spline regression uses the knowledge of nonparametric spline smoothing as a ...
Saira Sharif, Shahid Kamal
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BMC Medical Research Methodology, 2017 Background Thanks to the advances in genomics and targeted treatments, more and more prediction models based on biomarkers are being developed to predict potential benefit from treatments in a randomized clinical trial.
Nils Ternès +2 more
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Non-Standard Semiparametric Regression via BRugs
Journal of Statistical Software, 2010 We provide several illustrations of Bayesian semiparametric regression analyses in the BRugs package. BRugs facilitates use of the BUGS inference engine from the R computing environment and allows analyses to be managed using scripts.
Jennifer K. Marley, Matthew P. Wand
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Birnbaum-Saunders Semi-Parametric Additive Modeling
Revstat Statistical JournalInclusion of nonparametric functions enhances the modeling when accommodating non-linear effects of covariates. Semi-parametric models have been successfully used for describing non-linear structures by means of parametric and nonparametric components ...
Esteban Cárcamo +3 more
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Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2008 This paper introduces into and improves the theoretical research done by the authors in the last two years in the applied area of GAMs (generalized additive models) which belong to the modern statistical learning, important in many areas of prediction, e.
P. Taylan, G.-W. Weber
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hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Journal of Statistical SoftwareHidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
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