Spatially-dependent Bayesian model selection for disease mapping.

about

Spatio-temporal Bayesian model selection for disease mapping.Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping.

P2860

Q39030377-208DC9A0-B22D-4269-B4C5-F9374A7A6356 Q47302072-EA197941-5203-42E0-B596-81652C910E4E

P2860

Spatially-dependent Bayesian model selection for disease mapping.

Item

http://www.wikidata.org/entity/Q42293261

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

Spatially-dependent Bayesian model selection for disease mapping.

@en

Spatially-dependent Bayesian model selection for disease mapping.

@nl

type

Item

label

Spatially-dependent Bayesian model selection for disease mapping.

@en

Spatially-dependent Bayesian model selection for disease mapping.

@nl

prefLabel

Spatially-dependent Bayesian model selection for disease mapping.

@en

Spatially-dependent Bayesian model selection for disease mapping.

@nl

P1476

Spatially-dependent Bayesian model selection for disease mapping

@en

P2093

Andrew B Lawson

http://www.w3.org/2001/XMLSchema#string

Kevin Watjou

http://www.w3.org/2001/XMLSchema#string

Mehreteab Aregay

http://www.w3.org/2001/XMLSchema#string

Russell S Kirby

http://www.w3.org/2001/XMLSchema#string

P2860

A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims

VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.

Associations of census-tract poverty with subsite-specific colorectal cancer incidence rates and stage of disease at diagnosis in the United States

Assessing Local Model Adequacy in Bayesian Hierarchical Models Using the Partitioned Deviance Information Criterion

The Bayesian lasso for genome-wide association studies.

Spatial analysis of colorectal cancer incidence and proportion of late-stage in Massachusetts residents: 1995-1998.

Joint variable selection for fixed and random effects in linear mixed-effects models.

Negotiating Multicollinearity with Spike-and-Slab Priors.

Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models.

P304

250-268

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1177/0962280215627298

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Rachel Carroll

Christel Faes

P577

2016-07-20T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28034176

http://www.w3.org/2001/XMLSchema#string

P932

5374035

http://www.w3.org/2001/XMLSchema#string

Spatially-dependent Bayesian model selection for disease mapping.

about

P2860

P2860

Spatially-dependent Bayesian model selection for disease mapping.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932