| 1 |
Hirk R, Hornik K, and Vana, L. (2019). Multivariate ordinal regression models: an analysis of corporate credit ratings, Statistical Methods and Applications, 28, 507-539.
DOI
|
| 2 |
McCullagh P (1980). Regression models for ordinal data, Journal of the Royal Statistical Society, Series B., 42, 109-142.
|
| 3 |
McCullagh P and Nelder JA (1989). Generalized Linear Models (2nd Edition), Chapman and Hall, London.
|
| 4 |
O'Brien SM and Dunson DB (2004). Bayesian multivariate logistic regression, Biometrics, 60, 739-746.
DOI
|
| 5 |
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/
|
| 6 |
Sha N, Vannucci M, Tadesse MG, et al. (2004). Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage, Biometrics, 60, 812-819.
DOI
|
| 7 |
Reiss PJ and Ogden TR (2007). Functional principal component regression and functional partial least squares, Journal of the American Statistical Association, 102, 984-997.
DOI
|
| 8 |
Walker SH and Duncan DB (1967). Estimation of the probability of an event as a function of several independent variables, Biometrika, 54, 167-179.
DOI
|
| 9 |
West M (2003). Bayesian factor regression models in the "Large p, Small n" paradigm, Bayesian Statistics 7, 723-732.
|
| 10 |
Albert JH and Chib S (1993). Bayesian analysis of binary and polychotonous response data, Journal of the American Statistical Association, 88, 669-679.
DOI
|
| 11 |
Frank LE and Friedman JH (1993). A statistical view of some chemometrics regression tools, Technometrics, 35, 109-135.
DOI
|
| 12 |
Gelman A, Jakulin A, Pittau MG, and Su YS (2008). A weakly informative default prior distribution for logistic and other regression models, The Annals of Applied Statistics, 2, 1360-1383.
DOI
|
| 13 |
Gelman A and Su YS (2020). Arm: Data Analysis Using Regression and Multilevel/Hierarchical Models, R package version 1.11-2, https://CRAN.R-project.org/package=arm
|
| 14 |
Gelman A, Carlin JB, Stern HS, Dunson DB, Vehtary A, and Rubin DB (2015). Bayesian Data Analysis (3rd ed), CRC press.
|
| 15 |
Holmes CC and Held L (2006). Bayesian auxiliary variable models for binary and multinomial regression, Bayesian Analysis, 1, 145-168.
DOI
|
| 16 |
Massy WF (1965). Principal components regression in exploratory statistical research, Journal of the American Statistical Association, 60, 234-256.
DOI
|
| 17 |
Agresti A (2010). Analysis of Ordinal Categorical Data (2nd Edition), Wiley.
|
| 18 |
Kass RE and Raftery AE (1995). Bayes factors, Journal of the American Statistical Association, 90, 773-795.
DOI
|
| 19 |
Bair E, Hastie T, Paul D, and Tibshirani R (2006). Prediction by supervised principal components, Journal of the American Statistical Association, 101, 119-137.
DOI
|
| 20 |
Bilder CR and Loughin TM (2015). Analysis of Categorical Data with R, CRC Press.
|
| 21 |
Venables WN and Ripley BD (2002). Modern Applied Statistics with S (4th ed.), Springer, New York.
|
| 22 |
Lang JB (1999). Bayesian ordinal and binary regression models with a parametric family of mixture links, Computational Statistics & Data Analysis, 32, 59-87.
DOI
|
| 23 |
McKinley TJ, Morters M, and Wood JLN (2015). Bayesian model choice in cumulative link ordinal regression models, Bayesian Analysis, 10, 1-30.
DOI
|
| 24 |
Raftery AE (1995). Bayesian model selection in social research, Sociological Methodology, 25, 111-163.
DOI
|
| 25 |
Yi N, Banerjee S, Pomp D, and Yandell BS (2007). Bayesian mapping of genomewide interacting quantitative trait loci for ordinal traits, Genetics, 176, 1855-1864.
DOI
|
| 26 |
Martin C, Herrman TJ, Loughin T, and Oentong S (1998). Micropycnometer measurement of singlekernel density of healthy, sprouted, and scab-damaged wheats, Cereal Chemistry, 75, 177-180.
DOI
|
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