DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
about
Prior robust empirical Bayes inference for large-scale data by conditioning on rank with application to microarray data.Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions.Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA dataBayesian Semi- and Non-parametric Models for Longitudinal Data with Multiple Membership Effects in R.MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL.Glioblastoma adaptation traced through decline of an IDH1 clonal driver and macro-evolution of a double-minute chromosome.A Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centers.A Bayesian Semiparametric Temporally-Stratified Proportional Hazards Model with Spatial Frailties.Tolerance and the effect of high doses of wheat bran extract, containing arabinoxylan-oligosaccharides, and oligofructose on faecal output: a double-blind, randomised, placebo-controlled, cross-over trialStandardizing Plasmodium falciparum infection prevalence measured via microscopy versus rapid diagnostic test.Probability Distributome: A Web Computational Infrastructure for Exploring the Properties, Interrelations, and Applications of Probability Distributions.A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis.Flexible link functions in nonparametric binary regression with Gaussian process priors.Bayesian Nonparametric Inference - Why and How.A framework for Bayesian nonparametric inference for causal effects of mediation.Mitigating Bias in Generalized Linear Mixed Models: The Case for Bayesian Nonparametrics.Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures.Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks.Age stratification corrects bias in estimated hazard of genotype for Alzheimer's disease
P2860
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P2860
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
description
2011 nî lūn-bûn
@nan
2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
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
name
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@ast
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@en
type
label
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@ast
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@en
prefLabel
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@ast
DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
@en
P2093
P2860
P1476
DPpackage: Bayesian Non- and Semi-parametric Modelling in R
@en
P2093
Alejandro Jara
Fernando A Quintana
Gary L Rosner
Peter Müller
Timothy E Hanson
P2860
P407
P577
2011-04-01T00:00:00Z