Bayesian Nonparametric Data Analysis. P. Müller, F. A. Quintana, A. Jara, and T. Hanson (2015). Springer Series in Statistics. New York, NY: Springer. 193 pages, ISBN: 978‐3‐319‐18967‐3.No abstract is available for this article....
Bayesian Nonparametric Longitudinal Data Analysis Fernando A. Quintana, Wesley O. Johnson, L. Elaine Waetjen & Ellen B. Gold Pages 1168-1181 | Received 01 Oct 2012, Published online: 18 Oct 2016 Cite this article https://doi.org/10.1080/01621459.2015.1076725 CrossMark Full Article Figures...
Cluster analysisDirichlet process priorSequential imputations algorithmIn this work I postulate a nonparametric Bayesian model for data that can be accommodated in a contingency table with fixed right margin totals. This data structure usually arises when comparing different groups regarding classification ...
The mixture model is a very powerful and flexible tool in clustering analysis. Based on the Dirichlet process and parsimonious Gaussian distribution, we propose a new nonparametric mixture framework for solving challenging clustering problems. Meanwhile, the inference of the model depends on the ...
Stationary multivariate time seriesMany Bayesian nonparametric approaches to multivariate time series rely on Whittle's Likelihood, involving the second order structure of a stationary time series by means of its spectral density matrix. In this work, we model the spectral density matrix by means of ...
As outlined above,Bayesian data analysisis based on meaningfully parameterized descriptive models. Are there ever situations in which such models cannot be used or are not wanted? One situation in which it might appear thatparameterized modelsare not used is with so-callednonparametric models. But ...
Bayesian Nonparametric Data Analysis No abstract is available for this item. DAP Ruiz - 《International Statistical Review》 被引量: 13发表: 2016年 Bayesian Analysis of Gene Expression Data The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies ...
Although Bayesian models of mind have attracted great interest from cognitive scientists, Bayesian methods for data analysis have not. This article reviews... P Gregory 被引量: 121发表: 2005年 Bayesian Nonparametric Data Analysis No abstract is available for this item. DAP Ruiz - 《International ...
Geneletti, Sara, et al. "Bayesian regression discontinuity designs: incorporating clinical knowledge in the causal analysis of primary care data."Statistics in medicine34.15 (2015): 2334-2352. Hill, Jennifer L. "Bayesian nonparametric modeling for causal inference."Journal of Computational and Graphica...
et al. A Bayesian nonparametric approach to super-resolution single-molecule localization. Ann. Appl. Stat. 15, 1742–1766 (2021). Verdaasdonk, J. S., Lawrimore, J. & Bloom, K. in Methods in Cell Biology Vol. 123 (eds Waters, J. C. & Wittman, T.) 347–365 (Elsevier, 2014)....