搜索结果: 1-15 共查到“理论统计学 Structural”相关记录16条 . 查询时间(0.139 秒)
Testing Additive Separability of Error Term in Nonparametric Structural Models
Additive Separability Hypotheses Testing Nonparametric Structural Equation Non- separable Models
2016/1/25
This paper considers testing additive error structure in nonparametric structural models, against the alternative hypothesis that the random error term enters the nonparametric model non-additively.We...
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization
Structural Functional Discovery Dynamic Networks Non-negative Matrix Factorization
2013/6/17
Time series of graphs are increasingly prevalent in modern data and pose unique challenges to visual exploration and pattern extraction. This paper describes the development and application of matrix ...
Inference and testing for structural change in time series of counts model
time series of counts Poisson autoregression likelihood estimation change-point semi-parametric test
2013/6/14
We consider here together the inference questions and the change-point problem in Poisson autoregressions (see Tj{\o}stheim, 2012). The conditional mean (or intensity) of the process is involved as a ...
Modeling US house prices by spatial dynamic structural equation models
house prices Bayesian inference dynamic factor models spatio-temporal models cointegration lattice data
2013/4/27
This article proposes a spatial dynamic structural equation model for the analysis of housing prices at the State level in the USA. The study contributes to the existing literature by extending the us...
Metamodel-based importance sampling for structural reliability analysis
reliability analysis importance sampling metamodeling error kriging random fields active learning rare events
2011/6/16
Structural reliability methods aim at computing the probability of failure of systems with
respect to some prescribed performance functions. In modern engineering such functions
usually resort to ru...
Global identifiability of linear structural equation models
Covariance matrix Gaussian distribution graphical model multivari-ate normal distribution parameter identification structural equation model
2010/3/11
Structural equation models are multivariate statistical models that
are defined by specifying noisy functional relationships among random vari-
ables. We consider the classical case of linear relati...
Gaussian Process Structural Equation Models with Latent Variables
Gaussian Process Structural Equation Models Latent Variables
2010/3/11
In a variety of disciplines such as social sciences,
psychology, medicine and economics, the
recorded data are considered to be noisy measurements
of latent variables connected by some
causal stru...
A martingale approach to continuous time marginal structural models
martingale approach continuous time marginal structural models
2010/3/17
Marginal structural models were introduced in order to provide
estimates of causal effects from interventions based on observational studies
in epidemiological research. We present a variant of the ...
A Bayesian Structural Equations Model for Multilevel Data with Missing Responses and Missing Covariates
DIC Latent variable Markov chain Monte Carlo missing at random random eects VHA all employee survey data
2009/9/22
Motivated by a large multilevel survey conducted by the US Veterans
Health Administration (VHA), we propose a structural equations model which in-
volvesa set of latentvariables tocapture dependence...
Dynamic and Structural Features of Intifada Violence: A Markov Process Approach
Bayesian conjugate prior Israeli-Palestinian conict marginal likelihood
2009/9/22
This paper analyzes the daily incidence of violence during the Second
Intifada. We compare several alternative statistical models with dierent dynamic
and structural stability characteristics while ...
On normalizers and centralizers of compact Lie groups. Applications to structural probability theory
Exponent commuting exponent operator-semistable law operator-stable law
2009/9/21
The concept of operator stability on finitedimensional
vector spaces V was generalized in the past into several directions. In
particular, operator-semistable and self-decomposable laws and self-
-...
A structural model on a hypercube represented by optimal transport
determinant maximization Fourier series graphical model lasso optimal transport structural gradient model
2010/3/17
We propose a flexible statistical model for high-dimensional quantitative
data on a hypercube. Our model, called the structural gradient model (SGM),
is based on a one-to-one map on the hypercube th...
Central limit theorems in linear structural error-in-variables models with explanatory variables in the domain of attraction of the normal law
central limit theorem domain of attraction of the normal law explanatory variables large-sample approximate confidenceinterval
2010/4/29
Linear structural error-in-variables models with univariate observations
are revisited for studying modified least squares estimators of
the slope and intercept. New marginal central limit theorems ...
Causal inference in longitudinal studies with history-restricted marginal structural models
causal inference counterfactual marginal structuralmodel longitudinal study IPTW G-computation Double Robust
2010/4/29
A new class of Marginal Structural Models (MSMs), History-
Restricted MSMs (HRMSMs), was recently introduced for longitudinal data
for the purpose of defining causal parameters which may often be be...
Structural adaptation via LLp-norm oracle inequalities
structural adaptation oracle inequalities minimax risk adaptive estimation optimal rates of convergence
2010/4/28
In this paper we study the problem of adaptive estimation of a multivariate function
satisfying some structural assumption. We propose a novel estimation procedure that
adapts simultaneously to unkn...