搜索结果: 1-10 共查到“理论统计学 their statistical inference”相关记录10条 . 查询时间(0.116 秒)
Approximation of epidemic models by diffusion processes and their statistical inference
Approximation epidemic models diffusion processes their statistical inference
2013/6/14
Among various mathematical frameworks, multidimensional continuous-time Markov jump processes $(Z_t)$ on $\N^d$ form a natural set-up for modeling $SIR$-like epidemics. In this study we extend the res...
An ANOVA Test for Parameter Estimability using Data Cloning with Application to Statistical Inference for Dynamic Systems
Maximum Likelihood Estimation Over -Parametrized Models Markov Chain Monte Carlo Parameter Identifiability Differential Equation Models
2013/6/14
Models for complex systems are often built with more parameters than can be uniquely identified by available data. Because of the variety of causes, identifying a lack of parameter identifiability typ...
Statistical inference for Sobol pick freeze Monte Carlo method
Statistical inference Sobol pick freeze Monte Carlo method
2013/4/28
Many mathematical models involve input parameters, which are not precisely known. Global sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact on the variabilit...
Statistical inference for discrete-time samples from affine stochastic delay differential equations
asymptotic normality composite likelihood consistency discrete time observation of continuous-time models prediction-based estimating functions pseudo-likelihood stochastic delay differential equation
2013/4/28
Statistical inference for discrete time observations of an affine stochastic delay differential equation is considered. The main focus is on maximum pseudo-likelihood estimators, which are easy to cal...
Dempster--Shafer Theory and Statistical Inference with Weak Beliefs
Bayesian belief functions fiducial argument frequentist hypothesis testing inferential model
2010/11/9
The Dempster–Shafer (DS) theory is a powerful tool for probabilistic reasoning based on a formal calculus for combining evidence.DS theory has been widely used in computer science and engineering appl...
Statistical inference for multidimensional time-changed Lévy processes based on low-frequency data
time-changed Levy processes dependence minimax rates of convergence lowfrequency observations
2010/3/11
In this article we study the problem of a semi-parametric inference on the parameters of
a multidimensional L´evy process Lt based on the low-frequency observations of the corresponding
time-c...
Statistical inference from set-valued observations
Statistical inference set-valued observations
2009/9/22
Consider a random experiment whose true (unknown)
outcome is modelled by a certain random element X and the available
imprecise observations are modelled by some random set A such that
XE A almost ...
Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
Ancillary variables de-noise linear model errors-in-variable profile least-square-based estimator rational expection model
2010/3/18
We study semiparametric varying-coefficient partially linear models
when some linear covariates are not observed, but ancillary variables
are available. Semiparametric profile least-square based est...
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes
event sequences spike trains multi-electrode array microcircuits temporal data mining frequentepisodes
2010/3/18
Identifying the spatio-temporal network structure of brain activity from multi-neuronal data streams is one of the biggest challenges in neuroscience. Repeating patterns of precisely timed activity ac...
Fast learning rates in statistical inference through aggregation
Fast learning rates statistical inference aggregation
2010/4/27
We develop minimax optimal risk bounds for the general learning
task consisting in predicting as well as the best function in a reference
set G up to the smallest possible additive term, called the ...