about
Context Specific and Differential Gene Co-expression Networks via Bayesian BiclusteringBayesian latent factor regression for functional and longitudinal data.CLUSTERING SOUTH AFRICAN HOUSEHOLDS BASED ON THEIR ASSET STATUS USING LATENT VARIABLE MODELSBayesian Gaussian Copula Factor Models for Mixed Data.SEPARABLE FACTOR ANALYSIS WITH APPLICATIONS TO MORTALITY DATA.Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesFast sampling with Gaussian scale-mixture priors in high-dimensional regression.Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.Bayesian Exploratory Factor Analysis.Dissecting high-dimensional phenotypes with bayesian sparse factor analysis of genetic covariance matrices.ASSIGN: context-specific genomic profiling of multiple heterogeneous biological pathwaysVisualizing the structure of RNA-seq expression data using grade of membership models.A Dirichlet process mixture model for clustering longitudinal gene expression data.Classification via Bayesian Nonparametric Learning of Affine Subspaces.Nonparametric Bayes modeling for case control studies with many predictors.Semiparametric Bayesian local functional models for diffusion tensor tract statisticsAutomated annotation of gene expression image sequences via non-parametric factor analysis and conditional random fieldsSelection of latent variables for multiple mixed-outcome modelsGeneralized Dynamic Factor Models for Mixed-Measurement Time Series.Clustering high-dimensional mixed data to uncover sub-phenotypes: joint analysis of phenotypic and genotypic data.Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.A mixed model for the relationship between climate and human cranial form.Bayesian Nonparametric Ordination for the Analysis of Microbial Communities.Expandable factor analysis.How are species interactions structured in species-rich communities? A new method for analysing time-series data.Uncovering the drivers of host-associated microbiota with joint species distribution modelling.Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear RegressionUncovering hidden spatial structure in species communities with spatially explicit joint species distribution modelsUsing latent variable models to identify large networks of species-to-species associations at different spatial scales
P2860
Q28553187-05DA0E8C-5CF1-4E17-94A9-9ED9F28CA6E5Q30570376-9D15AAEA-76FA-4C85-9BBA-7FCF8FB5B0E1Q30605177-4C5B75D0-D8C5-4333-B842-5A3F02BBEB91Q30664139-AE4ADAE6-2D82-4B3F-BA9F-E34C372DED5EQ30876237-7C8D76FF-9DF5-4766-834A-49A297A9FDC9Q31158488-CC2657F5-DCAF-47CF-98B3-1FBB3CCE72B7Q33590724-C0006C98-A6F8-4874-88F9-61E78C8FBAA2Q33841844-3CCAB78E-8005-483E-AB94-50D55B36895DQ34400237-CFE8CC1C-EBA6-4EDF-8321-BBA6C663100AQ34565365-B84B3B68-54B1-4F61-B08B-7E47D6112E67Q34699452-9BFFFEF1-0132-4E72-8A26-B93CE5F4DE71Q35646230-C1AA11A3-91CF-4BCA-865C-9F958D6101F5Q36319656-A90F9425-F5DB-4A32-8864-A8DF7A3A42F3Q36407044-0BD63341-8783-43B7-89D3-1412848FB023Q36714662-91D658F0-6903-44CE-8B50-E5A03AD383D5Q36717370-04692D09-5C7D-43CC-A52A-B47FC972B2D4Q36916571-21A4B8FC-DA1B-4297-9568-946D1CF98AA4Q36960760-781E44DD-F237-4CF3-8582-F4F6B4A0677BQ37261853-7562BE77-CA02-42D3-91F9-F8A55F304EF8Q37732213-31666C42-DC3E-4F6C-B08F-285EC57C376EQ38700902-10D40FCC-6307-479F-87CF-5D45D1941117Q39353300-6218CF65-E6C1-460B-999F-525C8800A338Q40253091-99763FBD-4358-4AF0-9EED-E6E30661351EQ50074111-7703C621-C8A2-4388-BED3-5682E2078E8CQ50074258-C1F6D76B-FDA2-473A-8209-06355A55805FQ51205234-F3CACD01-5A05-47B1-9C6D-545A591A86CAQ55407903-884CE376-A0DE-4EC1-802E-2751904EC22FQ56906034-C91E367D-856A-4797-A6D7-ED7A6263AA9EQ57030544-C042C2EB-40B1-463F-9E2F-762B373D638BQ57596831-3D7E4AC0-D36D-4FE9-875D-31C1522673F3
P2860
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Sparse Bayesian infinite factor models.
@ast
Sparse Bayesian infinite factor models.
@en
type
label
Sparse Bayesian infinite factor models.
@ast
Sparse Bayesian infinite factor models.
@en
prefLabel
Sparse Bayesian infinite factor models.
@ast
Sparse Bayesian infinite factor models.
@en
P2860
P356
P1433
P1476
Sparse Bayesian infinite factor models.
@en
P2093
A Bhattacharya
D B Dunson
P2860
P304
P356
10.1093/BIOMET/ASR013
P407
P577
2011-06-01T00:00:00Z