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NTIS 바로가기Computational statistics & data analysis, v.112, 2017년, pp.145 - 153
Jeong, Seonghyun , Park, Minjae , Park, Taeyoung
This paper considers the analysis of longitudinal data where a binary response variable is observed repeatedly for each subject over time. In analyzing such data, regression coefficients are commonly assumed constant over time, which may not properly account for the time-varying effects of some subj...
J. Comput. Graph. Statist. Baladandayuthapani 14 2 378 2005 10.1198/106186005X47345 Spatially adaptive Bayesian penalized regression splines (p-splines)
Ann. Statist. Fan 27 5 1491 1999 10.1214/aos/1017939139 Statistical estimation in varying coefficient models
Statist. Sci. Gelman 7 457 1992 10.1214/ss/1177011136 Inference from iterative simulations using multiple sequences (with discussion)
J. R. Stat. Soc. Ser. B Stat. Methodol. Hastie 55 4 757 1993 10.1111/j.2517-6161.1993.tb01939.x Varying-coefficient models
Biometrika Hoover 85 4 809 1998 10.1093/biomet/85.4.809 Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
Biometrika Huang 89 1 111 2002 10.1093/biomet/89.1.111 Varying-coefficient models and basis function approximations for the analysis of repeated measurements
J. Econometrics Imai 124 311 2005 10.1016/j.jeconom.2004.02.002 A Bayesian analysis of the multinomial probit model using marginal data augmentation
Bayesian Anal. Jeong 11 4 1137 2016 10.1214/15-BA987 Bayesian semiparametric inference on functional relationships in linear mixed models
Ann. Statist. Kyung 38 2 979 2010 10.1214/09-AOS731 Estimation in Dirichlet random effects models
Biometrics Laird 38 4 963 1982 10.2307/2529876 Random-effects models for longitudinal data
J. Amer. Statist. Assoc. Liang 103 481 410 2008 10.1198/016214507000001337 Mixtures of g-priors for Bayesian variable selection
J. Nonparametr. Stat. Lu 21 7 815 2009 10.1080/10485250903151078 Smoothing spline estimation of generalised varying-coefficient mixed model
Comm. Statist. Simulation Comput. Park 45 1 165 2016 10.1080/03610918.2013.857687 Partially collapsed Gibbs sampling for linear mixed-effects models
J. Comput. Graph. Statist. Park 18 2 283 2009 10.1198/jcgs.2009.08108 Partially collapsed Gibbs samplers: Illustrations and applications
J. Appl. Econometrics Riphahn 18 4 387 2003 10.1002/jae.680 Incentive effects in the demand for health care: a bivariate panel count data estimation
Ruppert 2003 Semiparametric Regression
Ann. Statist. Scott 38 5 2587 2010 10.1214/10-AOS792 Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
J. Econometrics Smith 75 2 317 1996 10.1016/0304-4076(95)01763-1 Nonparametric regression using Bayesian variable selection
Comput. Statist. Data Anal. Soyer 68 388 2013 10.1016/j.csda.2013.04.016 Bayesian dynamic probit models for the analysis of longitudinal data
J. Comput. Graph. Statist. van Dyk 24 2 301 2015 10.1080/10618600.2014.930041 Metropolis-Hastings within partially collapsed Gibbs samplers
J. Amer. Statist. Assoc. van Dyk 193 482 790 2008 10.1198/016214508000000409 Partially collapsed Gibbs samplers: Theory and methods
Biostatistics Varin 11 1 127 2010 10.1093/biostatistics/kxp042 A mixed autoregressive probit model for ordinal longitudinal data
J. Amer. Statist. Assoc. Wu 93 444 1388 1998 10.1080/01621459.1998.10473800 Asymptotic confidence regions for kernel smoothing of a varying-coefficient model with longitudinal data
Zellner 233 1986 Bayesian Inference and Decision Techniques: Essays in Honor of Bruno De Finetti. Vol. 6 On assessing prior distributions and Bayesian regression analysis with g-prior distributions
Trabajos Estadística Invest. Oper. Zellner 31 1 585 1980 10.1007/BF02888369 Posterior odds ratios for selected regression hypotheses
Biometrics Zhang 60 1 8 2004 10.1111/j.0006-341X.2004.00165.x Generalized linear mixed models with varying coefficients for longitudinal data
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