2. 您的位置
3. 首页
4. 会议论文
5. New perspectives on heritability estimation and random-effects models in genetics

New perspectives on heritability estimation and random-effects models in genetics

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：sheep1number

【摘 要】

：

Random-effects models are one of the most widely studied and important classes of models in applied statistics.Genetics is one classical application area for random-effects models,where they have been

【作 者】

：

Lee H.Dicker Murat A.Erdogdu Ruijun Ma 

【机 构】

：

Rutgers University,USA Stanford University,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Quadratic forms variance estimation 

下载到本地 , 更方便阅读

下载此文 赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　Random-effects models are one of the most widely studied and important classes of models in applied statistics.Genetics is one classical application area for random-effects models,where they have been used since at least the 1950s.

其他文献

SOME SPATIO-TEMPORAL MODELLING PROBLEMS AND RECENT ADVANCES

Spatio-temporal modelling is a must in research in many fields of science and social science.It is always a challenge to model spatio-temporal data,since they vary over space and time,and usually have

会议

Spatio-temporal modellingspatio-temporal interactionmissing observationsBayes

USING LOGISTIC REGRESSION TO PREDICT UNDERAGE ALCOHOL CONSUMPTION BY SECONDARY SCHOOL STUDENTS

In this study,we approach the major problem of underage alcohol consumption by secondary school students through statistics.Underage drinking is when anyone under the minimum age of 21 drinks alcohol.

会议

logistic regressionclassificationgradient ascentoptimizationdata mining

A SYSTEMATIC PROCEDURE FOR SQUARE RANDOM LATTICE SAMPLING

The selection procedure,in which probability of selection for each unit of the population into the sample is same,almost fails to achieve the goals of a specified sampling theory.The selection procedu

会议

Controlled SamplingLatin SquaresLattice SamplingRelative PrecisionSimple Ran

Weighted Statistic in Detecting Faint and Sparse Alternatives for High-dimensional Covariance Matric

This paper considers testing equality of two population covariance matrices when the data dimension p diverges with the sample size n(p/n→c>0).We propose a weighted test statistic which is data-driven

会议

Linear Spectral StatisticLarge random matrix theoryStieltjes transformFaint a

High Dimensional Correlation Matrices:CLT and Its Applications

Statistical inferences for sample correlation matrices are important in high dimensional data analysis.Motivated by this,this paper establishes a new central limit theorem(CLT)for a linear spectral st

会议

Central limit theoremequivalence testhigh dimensional correlation matrixindep

Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Appl

Missing data are frequently encountered in longitudinal clinical trials.To better monitor and understand the progress over time,we must handle the missing data appropriately and thus determine whether

会议

Probit ModelLatent VariableJeffrey's PriorIdentifiabilityDIC and LPML

Definitive Screening Design:An Important Class of Circulant-Type Design

Jones and Nachtsheim(2011)proposed a new class of three-level screening designs called Definitive Screening(DS)designs,and it received much attention due to its appealing statistical properties.This w

会议

Definitive Screening DesignsConference MatricesHadamard MatricesGeneral Suppl

Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters

Regularized variable selection is a powerful tool for identifying the true regression model from a pool of candidates by applying penalties to the objective functions.The penalty functions involve a t

会议

Cox Proportional Hazards ModelDiverging Number of ParameterOracle PropertyTun

An MM Algorithm for the Split-Feasibility Problem

In the split feasibility problem,one is given a smooth function h(x): Rp→ Rq and two closed convex sets C(C)Rp and Q(C)Rq.One is then asked to find a point x∈Rp simultaneously satisfying x ∈ C and h(x

会议

Numerical OptimizationMajorization-MinimizationMulti-Set Feasibility ProblemI

No unmeasured and correctly modelled effect modifiers - implications for confounding control in caus

Confounding and effect modification are both central,yet often strictly distinguished concepts in epidemiology [Miettinen,1974].In the evolving causal inference literature,integral discussions on thes

会议

causal inferenceconfoundingeffect modificationpositivity violationinverse pr