Semiparametric smoothing of sparse contingency tables

DOI10.1016/j.jspi.2009.05.026zbMath1169.62031OpenAlexW2081027443MaRDI QIDQ840753

Jurgita Židanavičiūtė, Marijus Radavičius

Publication date: 14 September 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.05.026

zbMATH Keywords

bootstrapsmoothingsimulationhypothesis testingresamplingMarkov chainDNA sequencegeneralized logit

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Generalized linear models (logistic models) (62J12) Nonparametric statistical resampling methods (62G09) Contingency tables (62H17)

Uses Software

• SAS

Cites Work

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• Bayesian inference for categorical data analysis
• Smoothing categorical data
• Generalized log-linear models with random effects, with application to smoothing contingency tables
• LOGIT ANALYSIS OF GENETIC DATA
• Semiparametric smoothing for discrete data
• Fitting Markov Chain Models to Discrete State Series such as DNA Sequences
• ASYMPTOTIC NORMALITY OF GOODNESS-OF-FIT STATISTICS FOR SPARSE POISSON DATA
• Bayesian Models for Categorical Data