搜索结果: 1-12 共查到“统计学 Model-based”相关记录12条 . 查询时间(0.672 秒)
CATS regression–a model-based approach to studying trait-based community assembly
community composition community-level models fourth corner model generalised linear models maximum entropy Poisson regression
2015/8/21
CATS regression–a model-based approach to studying trait-based community assembly.
Model-based dose finding under model uncertainty using general parametric models
Model-based model uncertainty parametric models
2013/6/13
Statistical methodology for the design and analysis of clinical Phase II dose response studies, with related software implementation, are well developed for the case of a normally distributed, homosce...
Inter-Coder Agreement for Nominal Scales: A Model-based Approach
Inter-Coder Agreement Nominal Scales Model-based Approach
2012/9/17
Inter-coder agreement measures, like Cohen’sκ, correct the relative frequency of agreement between coders to account for agreement which simply occurs by
chance. However, in some situations these mea...
Model-Based Clustering of Large Networks
social networks stochastic block models finite mixture models EM algorithms generalized EM algorithms variational EM algorithms MM algorithms
2012/9/18
We describe a network clustering framework, based on finite mix-ture models, that can be applied to discrete-valued networks with hundreds of thousands of nodes and billions of edge variables. Rela-ti...
Change point analysis of an exponential model based on Phi-divergence test-statistics: simulated critical points case
Change poin Exponential model Likelihood ratio test
2011/7/19
Recently Batsidis \textit{et al.} (2011) have presented a new procedure based on divergence measures for testing the hypothesis of the existence of a change point in exponential populations.
A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation
Financial time series Wavelet decomposition Fuzzy regression SP500 index
2011/3/25
In the present paper, a fuzzy logic based method is combined with wavelet decomposition to develop a step-by-step dynamic hybrid model for the estimation of financial time series. Empirical tests on ...
Model-Based Inferences from Adaptive Cluster Sampling
Informative sampling MCMC spatial sampling zero-inated count data
2009/9/22
Adaptive cluster sampling is useful for exploring populations of rare
plant and animal species which cluster together because it allows sampling eort
to be concentrated in areas where observed value...
Model-based Analysis of Concept Maps
concept maps network analysis Bayesian hypothesis testing
2009/9/22
A concept map is a data collection tool developed in psychology and
education to obtain information about mental representations of concept asso-
ciations. This methodology has recently been introdu...
Model-based subspace clustering
COSA Dirichlet process mixture model nonparametric Bayes unsupervised learning variable selection
2009/9/21
We discuss a model-based approach to identifying clusters of objects
based on subsets of attributes, so that the attributes that distinguish a cluster
from the rest of the population may depend on t...
Testing for Differences Among Discrete Distributions: An Application of Model-Based Clustering
Differences Discrete Distributions Model-Based Clustering
2009/9/17
Testing for Differences Among Discrete Distributions: An Application of Model-Based Clustering。
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables
EM algorithm High-dimension but low-sample size L1 penalization Microarray gene expression Mixture model Penalized likelihood
2009/9/16
Clustering analysis is one of the most widely used statistical tools in many emerging areas such as microarray data analysis. For microarray and other high-dimensional data, the presence of many noise...
Bivariate Characterized Model Based on Mean Residual Life Properties
bivariate distribution characterized model failure rates hazard function survival function
2009/3/10
This paper uses the concept of characterized model for bivariate extensions of univariate life distributions based on mean residual life properties. Different bivariate distributions can be generated ...