Scientific Research Publishing

Statistical Inference for a Novel Health Inequality Index ()

1 School of Statistics, Beijing Normal University, Beijing, China. 2 Department of Mathematics and Statistics, University of North Carolina, Charlotte, USA. 3 Department of Mathematics, Southern ...
eLife

Bayesian inference of population prevalence

Within neuroscience, psychology, and neuroimaging, the most frequently used statistical approach is null hypothesis significance testing (NHST) of the population mean. An alternative approach is to ...
IEEE

Sparse Sensing for Statistical Inference

Abstract: Sensors are becoming increasingly omnipresent throughout society. These sensors generate a billion gigabytes of data every day. With the availability of immense computing power at central ...
IEEE

Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data

Abstract: In this paper, we address the problem of conducting statistical inference in settings involving large-scale data that may be high-dimensional and contaminated by outliers. The high volume ...
GitHub

statistical-inference

This project analyzes district literacy rates using descriptive statistics, probability distributions, confidence intervals, and hypothesis testing. It explores data patterns, detects outliers with ...