Semiparametric Regression Using Variational Approximations
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Publication:5208080
DOI10.1080/01621459.2018.1518235zbMath1428.62156arXiv1810.01949OpenAlexW3104810320WikidataQ129280276 ScholiaQ129280276MaRDI QIDQ5208080
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Publication date: 15 January 2020
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.01949
Related Items (6)
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models ⋮ Sufficient dimension reduction for clustered data via finite mixture modelling ⋮ Fast and universal estimation of latent variable models using extended variational approximations ⋮ Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox Processes ⋮ A penalized least product relative error loss function based on wavelet decomposition for non-parametric multiplicative additive models ⋮ Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines
Uses Software
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