Optimal designs for nonlinear regression models with respect to non-informative priors
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Publication:460644
DOI10.1016/j.jspi.2014.05.009zbMath1306.62181arXiv1311.0835OpenAlexW2170073534MaRDI QIDQ460644
Publication date: 13 October 2014
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1311.0835
heteroscedasticitypolynomial regressionoptimal designreference priorJeffreys priornon-informative priorcanonical momentsBayesian optimality criteria
Related Items (4)
A Maximin Φp-Efficient Design for Multivariate Generalized Linear Models ⋮ Event-based state estimation of linear dynamic systems with unknown exogenous inputs ⋮ Nonparametric Bayesian optimal designs for exponential regression model ⋮ Event-triggered robust state estimation for systems with unknown exogenous inputs
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