Advances in Data Analysis

@inproceedings{Skiadas2010AdvancesID,
  title={Advances in Data Analysis},
  author={C. Skiadas},
  year={2010}
}
Advances in data analysis , Advances in data analysis , کتابخانه مرکزی دانشگاه علوم پزشکی تهران 
AliClu - Temporal sequence alignment for clustering longitudinal clinical data
TLDR
The AliClu is a promising computational strategy to analyse longitudinal patient data by providing validated clusters and by unravelling the patterns that exist in clinical outcomes. Expand
Exact Semiparametric Inference and Model Selection for Load-Sharing Systems
TLDR
This article derives exact finite-sample inference procedures to test for the load-sharing parameters and for the nonparametrically specified baseline distribution, treating the respective other part as a nuisance quantity, which improves upon previous approaches for the model. Expand
A Call to Address Complexity in Prevention Science Research
TLDR
A systems science approach to problem solving and methods especially equipped to handle complex relationships and their evolution over time are introduced and how to complement traditional methods and augment research objectives by applying systems science methodologies is proposed. Expand
Recruitment dynamics in adaptive social networks.
TLDR
A mean field theory is derived to predict the dependence of the growth threshold of the recruiting class on the adaptation parameter and the effect of adaptation on the recruitment level, as well as on network topology. Expand
Estimating the number of communities in a network
TLDR
A mathematically principled approach for finding the number of communities in a network by maximizing the integrated likelihood of the observed network structure under an appropriate generative model is described. Expand
Agent-Based Model Heuristics in Studying Memory Mechanisms
This study is aimed at proposing an agent-based model formulated in (Ezhov & Khrennikov, 2005) and describing the emergence of specific binary memory codes in the system characterized by highExpand
Partitioning the Galactic halo with Gaussian Mixture Models
The Galactic halo is supposed to form from merging with nearby dwarf galaxies. In order to probe different components of the Galactic halo, we have applied the Gaussian Mixture Models method to aExpand