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Asymptotic Normality of Estimates in Flexible Seasonal Time Series Model with Weak Dependent Error Terms
seasonal time series model local linear estimates consistency and asymptotic
2013/5/2
In this paper we considered a general seasonal time series model with K-dependent and \rambda-dependent errors, which are new concepts of dependence. In this model we derived consistency and asymptoti...
Concepts and a case study for a flexible class of graphical Markov models
Concepts a case study a flexible class graphical Markov models
2013/4/27
With graphical Markov models, one can investigate complex dependences, summarize some results of statistical analyses with graphs and use these graphs to understand implications of well-fitting models...
Flexible Mixture Modeling with the Polynomial Gaussian Cluster-Weighted Model
Mixture of distributions Mixture of regressions Polynomial regression Model-based clustering Model-based classification Cluster-weighted models.
2012/9/18
In the mixture modeling frame, this paper presents the polynomial Gaussian cluster-weighted model (CWM). It extends the linear Gaussian CWM, for bivariate data, in a twofold way. Firstly, it allows fo...
A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix
Correlated factors Inverse Wishart Markov chain Monte Carlo
2011/7/5
Our article considers a regression model with observed factors. The observed factors have a flexible stochastic volatility structure that has separate dynamics for the volatilities and the correlation...
A new and flexible method for constructing designs for computer experiments
Cascading Latin hypercube Hadamard matrix Kroneck product orthogonal array
2010/10/14
We develop a new method for constructing "good" designs for computer experiments. The method derives its power from its basic structure that builds large designs using small designs. We specialize th...
Flexible Univariate Continuous Distributions
density estimation location-scale modal regression moment existence skewness unimodality
2009/9/24
Based on a constructive representation, which distinguishes between a skewing mechanism P and an underlying symmetric distribution F , we introduce two flexible classes of distributions. They a...
Incorporating patients’ characteristics in cost-effectiveness studies with clinical trial data：a flexible Bayesian approach
Bayesian analysis cost-effectiveness Markov Chain Monte Carlo （MCMC） skewed cost distributions
2009/2/23
Most published research on the comparison between medical treatment options merely compares the
results (effectiveness and cost) obtained for each treatment group. The present work proposes the incor...
Flexible covariance estimation in graphical Gaussian models
Covariance estimation Gaussian graphical models Bayes estimators shrinkage regularization
2010/3/17
In this paper, we propose a class of Bayes estimators for the
covariance matrix of graphical Gaussian models Markov with respect
to a decomposable graph G. Working with the WPG family defined
by Le...
Flexible Multivariate Density Estimation with Marginal Adaptation
Copula mixture of normals nonparametric stochastic approximation
2010/3/17
Our article addresses the problem of flexibly estimating a multivariate density
while also attempting to estimate its marginals correctly. We do so by proposing
two new estimators that try to captur...