搜索结果: 1-10 共查到“统计学其他学科 methods”相关记录10条 . 查询时间(0.156 秒)
Generating a synthetic population of individuals in households: Sample-free vs sample-based methods
individuals in households Sample-free sample-based methods
font style='font-size:12px;'>
2012/9/18
We compare a sample-free method proposed byGargiuloet al.(2010) and a sample-based method proposed byYe et al.(2009) for generating a synthetic population, organised in households, from various statis...
The Dependence of Routine Bayesian Model Selection Methods on Irrelevant Alternatives
Bayesian Model Selection Methods Alternatives
font style='font-size:12px;'>
2012/9/17
Bayesian methods - either based on Bayes Factors or BIC - are now widely used for model selection. One property that might reasonably be demanded of any model
selection method is that if a modelM1 is...
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
Detecting Events Patterns Large-Scale User Generated Textual Streams Statistical Learning Methods
font style='font-size:12px;'>
2012/9/18
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is pu...
Sequential Estimation Methods from Inclusion Principle
Sequential Estimation Methods Inclusion Principle
font style='font-size:12px;'>
2012/9/17
In this paper, we propose new sequential estimation methodsbased on inclusion principle. The main idea is to reformulate the estimation problems as constructing sequential random intervals and use con...
Ancestral Inference from Functional Data: Statistical Methods and Numerical Examples
comparative analysis Ornstein-Uhlenbeck process non-parametric Bayesian infer-ence functional phylogenetics ancestral reoncon-struction
font style='font-size:12px;'>
2012/9/17
Many biological characteristics of evolutionary inter-est are not scalar variables but continuous functions.Here we use phylogenetic Gaussian process regres-sion to model the evolution of simulated fu...
Parameter estimation in the stochastic Morris-Lecar neuronal model with particle filter methods
Parameter estimatio stochastic Morris-Lecar neuronal mode particle filter methods
font style='font-size:12px;'>
2012/9/19
In this paper, we consider the classic measurement error regression scenario in which our independent,or design, variables are observed with several sources of additive noise. We will show that our mo...
Blending Bayesian and frequentist methods according to the precision of prior information with an application to hypothesis testing
blended inference confidence distribution confidence posterior
font style='font-size:12px;'>
2011/7/19
The following zero-sum game between nature and a statistician blends Bayesian methods with frequentist methods such as p-values and confidence intervals. Nature chooses a posterior distribution consis...
Multiscale Methods for Shape Constraints in Deconvolution
Brownian motion convexity dierential inequalities ill-posed problems
font style='font-size:12px;'>
2011/7/19
We derive multiscale statistics for deconvolution in order to detect qualitative features of the unknown density. An important example covered within this framework is to test for local monotonicity o...
A General Framework for Sequential and Adaptive Methods in Survival Studies
Sequential analysis adaptive allocation marked point process
font style='font-size:12px;'>
2011/7/5
Adaptive treatment allocation schemes based on interim responses have generated a great deal of recent interest in clinical trials and other follow-up studies.
Weighted least squares methods for prediction in the functional data linear model
Cross-validation eigenfunction eigenvector functional data analysis mean squared error orthogonal series rate of convergence
font style='font-size:12px;'>
2009/9/16
The problem of prediction in functional linear regression is conventionally addressed by reducing dimension via the standard principal component basis. In this paper we show that weighted least-square...