搜索结果: 211-225 共查到“统计学 I.I.D Models”相关记录456条 . 查询时间(0.287 秒)
LASSO Methods for Gaussian Instrumental Variables Models
Methodology (stat.ME) Statistics Theory (math.ST)
2010/12/17
In this note, we propose to use sparse methods (e.g. LASSO, Post-LASSO, sqrt-LASSO, and Post-sqrt-LASSO) to form first-stage predictions and estimate optimal instruments in linear instrumental variabl...
An asymptotic approximation of the marginal likelihood for general Markov models
Statistics Theory (math.ST)
2010/12/17
The standard Bayesian Information Criterion (BIC) is derived under regularity conditions which are not always satisfied by the graphical models with hidden variables.
Perturbation of matrices and non-negative rank with a view toward statistical models
Euclidean topology Jacobian matrix mixture models
2010/10/19
In this paper we study how perturbing a matrix changes its non-negative rank. We show that the non-negative rank is upper-semicontinuos and we describe some special families of perturbations. We apply...
Latent diffusion models for survival analysis
diffusion processes parametrization of hierarchical models survival analysis
2010/10/19
We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate. We show how these models ...
Hidden Markov models for alcoholism treatment trial data
Hidden Markov models alcoholism clinical trial
2010/10/19
In a clinical trial of a treatment for alcoholism, a common response variable of interest is the number of alcoholic drinks consumed by each subject each day, or an ordinal version of this response, ...
Causal graphical models in systems genetics: A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes
Causal graphical models QTL mapping joint inference of phenotype network and genetic architecture systems genetics
2010/10/19
Causal inference approaches in systems genetics exploit quantitative trait loci (QTL) genotypes to infer causal relationships among phenotypes. The genetic architecture of each phenotype may be comple...
We consider heteroscedastic nonparametric regression models, when both the mean function and variance function are unknown and to be estimated with nonparametric approaches. We derive convergence rate...
Efficient estimation for a subclass of shape invariant models
Shape invariant model semiparametric estimation efficiency
2010/10/15
In this paper, we observe a fixed number of unknown $2\pi$-periodic functions differing from each other by both phases and amplitude. This semiparametric model appears in literature under the name "s...
Rejoinder: Likelihood Inference for Models with Unobservables Another View
Rejoinder Likelihood Inference Models Unobservables Another View
2010/10/15
First we should like to thank the editor for allowing us to respond to interesting discussions from the discussants,Molenberghs, Kenward and Verbeke (MKV), Louis and Meng, for the effort they have put...
Discussion of Likelihood Inference for Models with Unobservables: Another View
Discussion Likelihood Inference Models Unobservables Another View
2010/10/15
Lee and Nelder identify important issues and provide excellent advice and warnings associated with inferences and interpretations for models with unobserved, latent variables (random effects). Their d...
On the consistency of Fréchet mean in deformable models for curve and image analysis
Mean pattern estimation Fr´ echet mean Shape analysis Deformable models
2010/10/14
A new class of statistical deformable models is introduced to study high-dimensional curves or images. These models are useful to analyze the geometric modes of variation of a data set around a commo...
Estimation in additive models with highly or nonhighly correlated covariates
Additive model backfitting local linear smoothing normalizatio
2010/10/14
Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel appr...
Likelihood Inference for Models with Unobservables: Another View
Hierarchical generalized linear model unobservables random effects likelihood
2010/10/14
There have been controversies among statisticians on (i) what to model and (ii) how to make inferences from models with unobservables. One such controversy concerns the difference between estimation ...
Validated Intraclass Correlation Statistics to Test Item Performance Models
Model test misfit detection intraclass correlation item performance databases
2010/10/14
A new method, with an application program in Matlab code, is proposed for testing item performance models on empirical databases. This method uses data intraclass correlation statistics as expected co...
Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models
asymptotic null distribution likelihood ratio test mixing probabilities multivariate linkage
2010/4/30
Accurate knowledge of the null distribution of hypothesis tests is important for valid application of the tests. In previous papers and software, the asymptotic null distribution of likelihood ratio t...