Aritra Halder,Sudipto Banerjee,Dipak K Dey
Aritra Halder
Spatial process models are widely used for modeling point-referenced variables arising from diverse scientific domains. Analyzing the resulting random surface provides deeper insights into the nature of latent dependence within the studied ...
Alessandro Zito,Tommaso Rigon,Otso Ovaskainen et al.
Alessandro Zito et al.
We aim at modeling the appearance of distinct tags in a sequence of labeled objects. Common examples of this type of data include words in a corpus or distinct species in a sample. These sequential discoveries are often summarized via accum...
Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data [0.03%]
间断型截尾数据错误测量的边缘半参数贝叶斯建模方法研究
Li Li,Alejandro Jara,María José García-Zattera et al.
Li Li et al.
Motivated by data gathered in an oral health study, we propose a Bayesian nonparametric approach for population-averaged modeling of correlated time-to-event data, when the responses can only be determined to lie in an interval obtained fro...
Bayesian modeling of temporal dependence in large sparse contingency tables [0.03%]
大型稀疏列联表中时间依赖的贝叶斯建模方法研究
Tsuyoshi Kunihama,David B Dunson
Tsuyoshi Kunihama
In many applications, it is of interest to study trends over time in relationships among categorical variables, such as age group, ethnicity, religious affiliation, political party and preference for particular policies. At each time point,...
Francesco C Stingo,Michele Guindani,Marina Vannucci et al.
Francesco C Stingo et al.
In this paper we present a Bayesian hierarchical modeling approach for imaging genetics, where the interest lies in linking brain connectivity across multiple individuals to their genetic information. We have available data from a functiona...
Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection [0.03%]
基于MPSS数据的贝叶斯基因表达分析模型-对牛沙门氏菌感染的研究
Soma S Dhavala,Sujay Datta,Bani K Mallick et al.
Soma S Dhavala et al.
Massively Parallel Signature Sequencing (MPSS) is a high-throughput counting-based technology available for gene expression profiling. It produces output that is similar to Serial Analysis of Gene Expression (SAGE) and is ideal for building...