搜索结果: 301-315 共查到“统计学 Model”相关记录320条 . 查询时间(0.194 秒)
Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models
Bayesian analysis Double exponential family Hierarchical priors Variance estimation
2010/4/30
Flexibly modeling the response variance in regression is important for efficient parameter
estimation, correct inference, and for understanding the sources of variability in
the response. Our articl...
Additive Regression Model for Continuous Time Processes
Additive regression Continuous time processes Curse of dimensionality Marginal integration
2010/4/29
In the setting of additive regression model for continuous time process, we establish
the optimal uniform convergence rates and optimal asymptotic quadratic error of additive
regression. To build ou...
Some Uniform Limit Results in Additive Regression Model
additive model curse of dimensionality non parametric multivariate regression marginal integration
2010/4/29
We establish some uniform limit results in the setting of additive regression model estimation.
Our results allow to give an asymptotic 100% confidence bands for these components.
These results are ...
Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators?
Inference after model selection Post-model-selection estimator Pre-test estimator Selection of regressors
2010/4/28
We consider the problem of estimating the unconditional distribution of a post-model-selection estimator.The notion of a post-model-selection estimator here refers to the combined procedure resulting ...
Spline Single-Index Prediction Model
B-spline geometric mixing knots nonparametric regression root-n rate strong consistency
2010/4/27
For the past two decades, single-index model, a special case of projection pursuit regression,
has proven to be an efficient way of coping with the high dimensional problem in nonparametric
regressi...
Using decomposed household food acquisitions as inputs of a Kinetic Dietary Exposure Model
household surveys individualization linear mixed model risk assessment spline-estimation
2010/4/27
Foods naturally contain a number of contaminants that may have different and long term
toxic effects. This paper introduces a novel approach for the assessment of such chronic food
risk that integra...
A Latent Process Model for Dementia and Psychometric Tests
latent process Brownian motion joint model ordinal data multivariatedata dementia Alzheimer’s disease
2010/4/27
We jointly model longitudinal values of a psychometric test and
diagnosis of dementia. The model is based on a continuous-time latent
process representing cognitive ability. The link between the lat...
Poisson limit of an inhomogeneous nearly critical INAR(1) model
Integer–valued time series INAR(1) model nearly unstable model Poisson approximation Galton–Watson process
2010/4/27
An inhomogeneous first–order integer–valued autoregressive (INAR(1)) process is
investigated, where the autoregressive type coefficient slowly converges to one. It is
shown that the process converge...
Inferring Markov Chains：Bayesian Estimation，Model Comparison，Entropy Rate，and Out-of-class Modeling
Markov Chains Bayesian Estimation Model Comparison Entropy Rate Out-of-class Modeling
2010/4/27
Markov chains are a natural and well understood tool for describing one-dimensional patterns in
time or space. We show how to infer k-th order Markov chains, for arbitrary k, from finite data
by app...
Case-Control Survival Analysis with a General Semiparametric Shared Frailty Model——a Pseudo Full Likelihood Approach
Case-control study Correlated failure times Family study Frailty model Multivariatesurvival model
2010/4/27
In this work we deal with correlated failure time (age at onset) data arising from populationbased case-control studies, where case and control probands are selected by populationbased sampling and an...
New model helps explore patterns of urban sprawl and the implications for quality of life
New model statistics Population
2007/3/5
February 19, 2007，Americans like living in cities, and according to statistics in the United Nations World Population Database so do an increasing number of people throughout the world.
The Loss Rank Principle for Model Selection
Model selection loss rank principle non-parametric regression classification general loss function k nearest neighbors
2010/4/27
We introduce a new principle for model selection in regression and classification.
Many regression models are controlled by some smoothness or flexibility
or complexity parameter c, e.g. the number ...
Fractional constant elasticity of variance model
fractional Black-Scholes model fractional Brownian motion fractionalconstant elasticity of volatility model fractional Ito’s lemma
2010/4/27
This paper develops a European option pricing formula for fractional
market models. Although there exist option pricing results for a fractional
Black-Scholes model, they are established without acc...
The distribution of model averaging estimators and an impossibility result regarding its estimation
model mixing model aggregation combination of estimators model selection finite sample distribution
2010/4/27
The finite-sample as well as the asymptotic distribution of Leung
and Barron’s (2006) model averaging estimator are derived in the context of
a linear regression model. An impossibility result regar...
Can one estimate the conditional distribution of post-model-selection estimators?
Inference after model selection post-model-selection estimator pre-test estimator selection of regressors
2010/4/27
We consider the problem of estimating the conditional distribution
of a post-model-selection estimator where the conditioning is on
the selected model. The notion of a post-model-selection estimator...