Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks

Entropy Inference and the James-Stein Estimator

Entropy is a fundamental quantity in statistics and machine learning. In this note, we present a novel procedure for statistical learning of entropy from high-dimensional small-sample data. Specifically, we introduce a a simple yet very powerful small-sample estimator of the Shannon entropy based on James-Stein-type shrinkage. This results in an estimator that is highly efficient statistically ...

Comparison of Small Area Estimation Methods for Estimating Unemployment Rate

Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...

Estimation of the Multivariate Normal Mean under the Extended Reflected Normal Loss Function

Estimation of the proteomic cancer co-expression sub networks by using association estimators

In this study, the association estimators, which have significant influences on the gene network inference methods and used for determining the molecular interactions, were examined within the co-expression network inference concept. By using the proteomic data from five different cancer types, the hub genes/proteins within the disease-associated gene-gene/protein-protein interaction sub networ...

Evaluation of the Efficiency of the Adaptive Neuro Fuzzy Inference System (ANFIS) in the Modeling of the Ionosphere Total Electron Content Time Series Case Study: Tehran Permanent GPS Station

Global positioning system (GPS) measurements provide accurate and continuous 3-dimensional position, velocity and time data anywhere on or above the surface of the earth, anytime, and in all weather conditions. However, the predominant ranging error source for GPS signals is an ionospheric error. The ionosphere is the region of the atmosphere from about 60 km to more than 1500 km above the eart...