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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...
An Integrated Forward/Reverse Logistics Network Optimization Model for Multi-Stage Capacitated Supply Chain
Integrated Forward/Reverse Logistics Network Closed-Loop Supply Chain Network Mixed-Integer Linear Programming Multi-Objective Optimization Capacity and Location Decision
2013/2/23
In this study, the integrated forward/reverse logistics network is investigated, and a capacitated multi-stage logistics network design is proposed by formulating a generalized logistics network probl...
The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model
Unified Theory of Acceptance and Use of Technology (UTAUT) Manufacturing Service Bank
2013/2/23
This study investigated whether the differences of gender, age, and occupation for m-learning showed significance on the utilization of the mobile devices and to figure out if the variation may influe...
Research on Model and Mechanism of Autonomous Management for Cellular Manufacturing
Cellular Manufacturing Autonomous Management Management Model Coordination Mechanism
2013/2/23
International Engineering Consortium predicted that cellular manufacturing would become the main production model of manufacturing enterprises in the future. Based on elaborating the basic concepts, t...
spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R
MCMC P-splines spike-and-slab prior normal-inverse-gamma
2011/6/20
The R package spikeSlabGAM implements Bayesian variable selection, model choice,
and regularized estimation in (geo-)additive mixed models for Gaussian, binomial, and
Poisson responses. Its purpose ...
Consistent Model Selection of Discrete Bayesian Networks from Incomplete Data
Discrete Bayesian Networks Consistent Model Incomplete Data node-variables
2011/6/20
A maximum likelihood based model selection of discrete Bayesian
networks is considered. The model selection is performed through scoring
function S, which, for a given network G and n-sample Dn, is ...
Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model
maximum-likelihood Stochastic Block Model
2011/6/17
The stochastic block model (SBM) is a probabilistic model de-
signed to describe heterogeneous directed and undirected graphs. In this
paper, we address the asymptotic inference on SBM by use of max...
A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
metabolomics concentration estimation prior information multi component model block updates
2011/6/17
Nuclear Magnetic Resonance (NMR) spectra are widely used in metabolomics to
obtain profiles of metabolites dissolved in biofluids such as cell supernatants. Methods
for estimating metabolite concent...
A Poisson Mixed Model with Nonnormal Random Effect Distribution
Count data Generalized log-gamma distribution Multivariate negative binomial distribution Overdispersion Random-effect models
2011/6/17
We propose in this paper a random intercept Poisson model in which the random effect distribution
is assumed to follow a generalized log-gamma (GLG) distribution. We derive the first two moments
for...
Estimation in autoregressive model with measurement error
autoregressive model markov chain weak dependent deconvolution semi-parametric nonlinear autoregressive model
2011/6/16
Consider an autoregressive model with measurement error: we observe
Zi = Xi+εi, where Xi is a stationary solution of the equation Xi = f0(Xi−1)+ξi. The
regression function f0 is known up to ...
Semiparametric Additive Transformation Model under Current Status Data
B-spline Consistent variance estimation Current status data Efficient estimation Semiparametric transformation models
2011/6/16
We consider the efficient estimation of the semiparametric additive transformation model
with current status data. A wide range of survival models and econometric models can be incorporated
into thi...
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Model averaging Variational Bayes inference Markov Chain Unsu-pervised classification
2011/6/16
We consider a binary unsupervised classi cation problem where each observation
is associated with an unobserved label that we want to retrieve. More precisely, we
assume that there are two groups of...
A Functional Version of the ARCH Model
ARCH financial data functional time series high-frequency data weak-dependence
2011/6/16
Improvements in data acquisition and processing techniques have lead to an almost continuous
flow of information for financial data. High resolution tick data are available and can be quite convenien...
Deviance Information Criteria for Model Selection in Approximate Bayesian Computation
Approximate Bayesian computation evolutionary genetics statistical
2011/6/16
Approximate Bayesian computation (ABC) is a class of algorithmic
methods in Bayesian inference using statistical summaries and computer
simulations. ABC has become popular in evolutionary genetics a...
The Model of Mobile Knowledge Services System in the Management of Complex Cluster Project
Cluster Project Management Mobile Knowledge Services Knowledge Service Model
2013/2/23
Cluster projects are projects of large-scale or with huge investment, such as Beijing 2008 Olympic Games and Shanghai 2010 Expo. A lot of on-site management works are involved in the process of cluste...