搜索结果: 1-12 共查到“理论统计学 data analysis”相关记录12条 . 查询时间(0.156 秒)
Optimal rates of convergence for persistence diagrams in Topological Data Analysis
Optimal rates convergence persistence diagrams Topological Data Analysis
2013/6/14
Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topological persistence, or persistent homology, appear...
Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
Coordinate descent counts data overdispersion regularized likelihood sparse group penalty
2013/6/14
With the development of next generation sequencing technology, researchers have now been able to study the microbiome composition using direct sequencing, whose output are bacterial taxa counts for ea...
Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
Coordinate descent counts data overdispersion regularized likelihood sparse group penalty
2013/6/14
With the development of next generation sequencing technology, researchers have now been able to study the microbiome composition using direct sequencing, whose output are bacterial taxa counts for ea...
Tensor Decompositions: A New Concept in Brain Data Analysis?
Multilinear BSS linked multiway BSS/ICA tensor factorizations and de-compositions constrained Tucker and CP models PenalizedTensor Decompositions (PTD) feature extraction classification multiway PLS and CCA
2013/6/14
Matrix factorizations and their extensions to tensor factorizations and decompositions have become prominent techniques for linear and multilinear blind source separation (BSS), especially multiway In...
Baby Morse Theory in Data Analysis
Topology Morse theory persistence inference signal detection
2011/6/17
A methodology is proposed for inferring the topology underlying point cloud
data. The approach employs basic elements of Morse Theory, and is capable
of producing not only a point estimate of variou...
Algorithmic and Statistical Perspectives on Large-Scale Data Analysis
Algorithmic Statistical Perspectives Large-Scale Data Analysis
2010/10/19
In recent years, ideas from statistics and scientific computing have begun to interact in increasingly sophisticated and fruitful ways with ideas from computer science and the theory of algorithms to...
On computational tools for Bayesian data analysis
Bayesian inference Monte Carlo methods MCMC algorithms Approximate Bayesian Computation techniques adaptivity
2010/3/10
While the previous chapter (Robert and Rousseau,
2010) addressed the foundational aspects of Bayesian
analysis, the current chapter details its practical aspects
through a review of the computation...
On Bayesian Data Analysis
Bayesian inference Bayes model choice foundations testing non-informative prior Bayesiannonparametrics Bayes factor
2010/3/9
This introduction to Bayesian statistics presents the
main concepts as well as the principal reasons advocated
in favour of a Bayesian modelling. We cover
the various approaches to prior determinat...
Robustness and accuracy of methods for high dimensional data analysis based on Student's t statistic
Bootstrap central limit theorem classication dimension reduction higher criticism large deviation probability
2010/3/9
Student's t statistic is nding applications today that were never envisaged
when it was introduced more than a century ago. Many of these applications
rely on properties, for example robustness aga...
Salamander Mating Experiment - A Bayesian Data Analysis
Salamander Mating Experiment A Bayesian Data Analysis
2009/9/18
Salamander Mating Experiment - A Bayesian Data Analysis。
Software for Reliability Data Analysis and Test Planning
Software Reliability Data Analysis Test Planning
2009/9/18
Software for Reliability Data Analysis and Test Planning。
Generation interval contraction and epidemic data analysis
Generation interval contraction epidemic data analysis
2010/4/29
The generation interval is the time between the infection time of an infected
person and the infection time of his or her infector. Probability density functions
for generation intervals have been a...