Simulation studies of smoothing parameter estimates and bayesian confidence intervals in bernoulli ss anova models

DOI10.1080/03610919508813292zbMath0850.62340OpenAlexW2045951640MaRDI QIDQ4859896

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Publication date: 15 January 1996

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919508813292

Mathematics Subject Classification ID

Density estimation (62G07) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Probabilistic methods, stochastic differential equations (65C99)

Related Items

Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture), Grkpack fitting smoothing spline anova models for exponential families, Grkpack fitting smoothing spline anova models for exponential families

Cites Work

• Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method
• Bootstrap confidence intervals for smoothing splines and their comparison to bayesian confidence intervals
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