搜索结果: 1-15 共查到“理论统计学 parameters”相关记录27条 . 查询时间(0.265 秒)
Estimation in Systems of Ordinary Differential Equations Linear in the Parameters
local polynomials Lotka-Volterra nonparamet-ric regression ordinary differential equation plug-in estimators
2013/6/14
Many phenomena in biology, chemistry, physics, and engineering are modeled by a system of possibly nonlinear ordinary differential equations that are linear in their unknown constants. Current methods...
Propagation of initial errors on the parameters for linear and Gaussian state space models
Kalman filter Extended Kalman filter State space mod-els Autoregressive process
2013/4/27
For linear and Gaussian state space models parametrized by $\theta_0 \in \Theta \subset \R^{r}, r \geq 1$ corresponding to the vector of parameters of the model, the Kalman filter gives exactly the so...
Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values
Nuisance Parameters Post-Model-Selection Random Critical Values
2012/11/22
We point out that the ideas underlying some test procedures recently proposed for testing post-model-selection (and for some other test problems) in the econometrics literature have been around for qu...
Moment based estimation of stochastic Kronecker graph parameters
Moment based estimation stochastic Kronecker graph
2011/7/5
Stochastic Kronecker graphs supply a parsimonious model for large sparse real world graphs. They can specify the distribution of a large random graph using only three or four parameters.
Marginal log-linear parameters for graphical Markov models
multivariate discrete statistical models parametrization marginal log-linear graphical Markov models
2011/6/20
The parametrization of multivariate discrete statistical models by marginal log-linear
(MLL) parameters provides a great deal of flexibility; in particular, different MLL parametrizations
under line...
Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters
bivariate counts longitudinal data overdispersion random effects regressionmodels
2010/3/11
Beta-binomial/Poisson models have been used by many authors to model multivariate
count data. Lora and Singer (Statistics in Medicine, 2008) extended such models
to accommodate repeated multivariate...
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
ordered explanatory variable constrained estimation least squares logistic regression Coxregression active set algorithm
2010/3/18
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
Asymptotic efficiency and finite-sample properties of the generalized profiling estimation of parameters in ordinary differential equations
Ordinary differential equations parameters estimation profiling procedure consistency asymptotic normality
2010/3/18
Ordinary differential equations (ODEs) are commonly used to
model dynamic behavior of a system. Because many parameters are
unknown and have to be estimated from the observed data, there
is growing...
On sequential estimation of parameters of continuous Gaussian Markov processes
sequential estimation of parameters continuous Gaussian Markov processes
2009/9/24
On sequential estimation of parameters of continuous Gaussian Markov processes。
Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters
Bayesian inference binomial distribution invariance noninformative prior
2009/9/24
It is argued that the posterior predictive distribution for the binomial
and multinomial distributions,when viewed via a hypergeometric-like representa-
tion, suggests the uniform prior on the param...
The paper concerns the estimation of univariabb
(multivariate) linear regression parameters based on the independent
normally distributed random variables (vectors) with unknown variance
(p. d. cov...
An invariance principle for processes indexed by two parameters and some statistical applications
An invariance principle two parameters some statistical applications
2009/9/23
An invariance principle for processes indexed by two parameters and some statistical applications。
V. N. Component type tests with estimated parameters
V. N. Component type tests estimated parameters
2009/9/22
Goodness-of-fit tests based on sums of squared components
or the Cramir-von Mises statistic with a growing number d
summands are studied in the case of a composite null hypothesis. The
tests are se...
Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters
MCMC MAPK/ERKpathway diusion approximation data augmentation dependency in diusion matrix
2009/9/22
The MAPK/ERK pathway is one of the major signal transduction systems which regulates the cellular growth control of all eukaryotes like the cell proliferation and the apoptosis. Because of its importa...
Compressing Parameters in Bayesian High-order Models with Application to Logistic Sequence Models
compressing parameters high-ordermodels Markov chain Monte Carlo logistic models interaction
2009/9/22
Bayesian classication and regression with high-order interactions is
largely infeasible because Markov chain Monte Carlo (MCMC) would need to be
applied with a great many parameters, whose number in...