搜索结果: 46-60 共查到“统计学 Modeling”相关记录63条 . 查询时间(0.348 秒)
Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems
continuous time counting Markov process birth-death process environmental stochasticity infinitesimal over-dispersion
2010/3/11
We propose an infinitesimal dispersion index for Markov counting processes. We show that, under standard moment
existence conditions, a process is infinitesimally (over-) equi-dispersed if, and only ...
Coarse-grained modeling of multiscale diffusions：the p-variation estimates
parameter estimation multiscale diffusions p-variation Ornstein-Uhlenbeck
2010/3/10
We study the problem of estimating parameters of the limiting equation
of a multiscale diffusion in the case of averaging and homogenization, given
data from the corresponding multiscale system. Fir...
Relaxation Penalties and Priors for Plausible Modeling of Nonidentified Bias Sources
Bias biostatistics causality epidemiology measurement error misclassification observational studies odds ratio relative risk
2010/3/9
In designed experiments and surveys, known laws or de-
sign feat ures provide checks on the most relevant aspects of a model
and identify the target parameters. In contrast, in most observational
s...
Hidden Markov Dirichlet Process: Modeling Genetic Inference in Open Ancestral Space
Dirichlet Process Hierarchical DP hidden Markov model MCMC statistical genetics recombination population structure SNP
2009/9/22
We present a new statis-
tical framework called hidden Markov Dirichlet process (HMDP) to jointly model
the genetic recombinations among a possibly innite number of founders and the
coalescence-wit...
Modeling Censored Lifetime Data Using a Mixture of Gammas Baseline
Accelerated failure time Dirichlet process mixture
2009/9/21
We propose a Bayesian semiparametric accelerated failure time (AFT)
model in which the baseline survival distribution is modeled as a Dirichlet process
mixture of gamma densities. The model is highl...
Explaining Species Distribution Patterns through Hierarchical Modeling
adaptive rejection method Markov random eld spatial logistic regression species range species richness
2009/9/21
Understanding spatial patterns of species diversity and the distri-
butions of individual species is a consuming problem in biogeography and con-
servation. The Cape Floristic Region (CFR) of South ...
Bayesian Modeling of Variance Heterogeneity in Normal Regression Models
Bayesian Modeling Variance Heterogeneity Normal Regression Models
2009/9/18
Bayesian Modeling of Variance Heterogeneity in Normal Regression Models。
Modeling threshold exceedance probabilities of spatially correlated time series
threshold exceedance probability PM10 smoothing spatial interpolation spatial time series visualization
2009/9/16
The Commission of the European Union, as well the United States Environmental Protection Agency, have set limit values for some pollutants in the ambient air that have been shown to have adverse effec...
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Adaptive Lasso High Dimensional Regression Gaussian Graphical Modeling
2010/3/18
We show that the two-stage adaptive Lasso procedure (Zou, 2006) is consistent for high-dimensional
model selection in linear and Gaussian graphical models. Our conditions for consistency cover more
...
Hierarchical Bayesian Modeling of Hitting Performance in Baseball
Hierarchical Bayesian Modeling Hitting Performance Baseball
2010/3/18
We have developed a sophisticated statistical model for predicting the hitting performance
of Major League baseball players. The Bayesian paradigm provides a principled
method for balancing past per...
Modeling threshold exceedance probabilities of spatially correlated time series
threshold exceedance probability PM10 smoothing spatial interpolation spatial time series visualization
2010/3/17
The Commission of the European Union, as well the United
States Environmental Protection Agency, have set limit values for some
pollutants in the ambient air that have been shown to have adverse eff...
Modeling long-term longitudinal HIV dynamics with application to an AIDS clinical study
AIDS antiretroviral drug therapy Bayesian nonlinear mixedeffectsmodels time-varying drug efficacy long-term HIV dynamics longitudinal data
2010/3/17
A virologic marker, the number of HIV RNA copies or viral load,
is currently used to evaluate antiretroviral (ARV) therapies in AIDS
clinical trials. This marker can be used to assess the ARV potenc...
Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling
Equilibrium climate sensitivity observed and modeled climate space–time modeling statistical surrogate temperature data
2010/3/17
Nonlinear regression is a useful statistical tool, relating observed
data and a nonlinear function of unknown parameters. When the
parameter-dependent nonlinear function is computationally intensive...
Spatial--temporal mesoscale modeling of rainfall intensity using gage and radar data
Conditionally autoregressive models full symmetry nonstationarity rainfall modelling spatial logistic regression spatial–temporal models
2010/3/17
Gridded estimated rainfall intensity values at very high spatial
and temporal resolution levels are needed as main inputs for weather
prediction models to obtain accurate precipitation forecasts, an...
Modeling Hourly Ozone Concentration Fields
Dynamic linear model hierarchical Bayes ozone random field space–time fields
2010/4/29
This paper presents a dynamic linearmodel for modeling hourly ozone concentrations over
the eastern United States. That model, which is developed within an Bayesian hierarchical framework,inherits th...