Full-text resources of CEJSH and other databases are now available in the new Library of Science.

Visit https://bibliotekanauki.pl

Visit https://bibliotekanauki.pl

Full texts:

21-36

published

2022

author

- Worcester Polytechnic Institute, USA

author

- Worcester Polytechnic Institute, USA

- Antoniak, C. E., (1974). Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems. The Annals of Statistics, 2 (6), pp. 1152–1174.
- Antonelli, J., Trippa, L. and Haneuse, S., (2016). Mitigating bias in generalized linear mixed models: The case for Bayesian nonparametrics. Statistical Science, 31 (1), pp. 80–95.
- Binder, D. A., (1982). Non-parametric Bayesian models for samples from finite populations. Journal of the Royal Statistical Society, Series B, 44(3), pp. 388–393.
- Blackwell, D., MacQueen, J. B., (1973). Ferguson distributions via Polya urn schemes. The Annals of Statistics, 1 (2), pp. 353–355.
- Camerlenghi, F., Dunson, D. B., Lijoi, A., Prunster, I. and Rodrigue,A., (2019). Latent nested nonparametric priors. Bayesian Analysis, 14, pp. 1303–1356.
- Chaudhuri, S., Gosh, M., (2011). Empirical likelihood for small area estimation. Biometrika, 98, 2, pp. 473–480.
- Escobar, M. D., West, M., (1995). Bayesian density estimation and inference using mixtures. Journal of the American Statistical Association, 90 (430), pp. 577–588.
- Ferguson, T. S., (1973). A Bayesian analysis of some nonparametric problems. The Annals of Statistics, 1 (2), pp. 209–230.
- Ishwaran, H., James, L. F., (2001). Gibbs sampling methods for stick-breaking priors. Journal of the American Statistical Association, 96 (453), pp. 161–173.
- Gumpertz, M. L., Graham, J. M. and Ristaino, J. B., (1997). Autologistic Model of spatial pattern of Phytophthora Epidemic in bell pepper: Effects of Soil Variables on Disease Presence. Journal of Agricultural, Biological, and Environmental Statistics, Vol. 2, No. 2, pp. 131–156.
- Kalli, M., Griffin, J. E. andWalker, S. G., (2011). Slice sampling mixture models. Statistics and Computing, 21 (1), pp. 83–105.
- Kinderman, A. J., Monahan J. F., (1977). Computer generation of random variables using the ratio of uniform deviates. Association for Computing and Machinery, Inc.
- Liu, Y., Nandram, B., (2020). Sampling methods for the concentration parameter of the Dirichlet process. In JSM Proceedings, Nonparamtric Section. Alexandria, VA: American Statistical Association. pp. 1121–1131.
- Nandram, B., Choi, J. W., (2004). Nonparametric Bayesian analysis of a proportion for a small area under nonignorable nonresponse. Journal of Nonparametric Statistics, 16 (6), pp. 821–839.
- Nandram, B., Yin, J., (2016a). Bayesian predictive inference under a Dirichlet process with sensitivity to the normal baseline. Statistical Methodology, 28, pp. 1–17.
- Nandram, B., Yin, J., (2016b). A nonparametric Bayesian prediction interval for a finite population mean. Journal of Statistical Computation and Simulation, 86 (16), pp. 3141–3157.
- Neal, R. M., (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9 (2), 249–265.
- Rasmussen, C. E., (2000). The infinite Gaussian mixture model. Advances in Neural Information Processing Systems pp. 554–560.
- Sethuraman, J., (1994). A constructive definition of Dirichlet priors. Statistica Sinica, 4, pp. 639–650.
- Teh, Y. W., Jordan, M. I., Beal, M. J. and Blei, D. M., (2006). Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101 (476), pp. 1566–1581.
- Yin, J., Nandram, B., (2020a). A Bayesian small area model with Dirichlet processes on responses. Statistics in Transition, New Series, 21 (3), pp. 1–19.
- Yin, J., Nandram, B., (2020b). A Nonparametric Bayesian Analysis of Response Data with Gaps, Outliers and Ties. Statistics and Applications, New Series, 18 (2), pp. 121–141.

Biblioteka Nauki

2156859

bwmeta1.element.ojs-doi-10_2478_stattrans-2022-0040