National Academies of Sciences%2c Engineering%2c and Medicine

Using Multiple Data Sources and State-of-the-Art Estimation Methods in Federal Statistics: Frameworks, Methods, and Assessment

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...
Nature

Bayesian Estimation and Maximum Likelihood Methods

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
Nature

Imputation Methods for Missing Data in Statistical Estimation

Imputation methods provide essential statistical tools for addressing missing data, thereby minimising bias and enhancing the reliability of parameter estimates. In statistical estimation, missing ...
Science Daily

Improving data collection and estimation methods for child and adult mortality

Three new research highlight the importance of gathering accurate information on numbers of deaths, and suggest ways of improving estimates in countries where complete vital registration systems do ...
JSTOR Daily

A UNIFIED FRAMEWORK FOR VARIANCE COMPONENT ESTIMATION WITH SUMMARY STATISTICS IN GENOME-WIDE ASSOCIATION STUDIES

The Annals of Applied Statistics, Vol. 11, No. 4 (December 2017), pp. 2027-2051 (25 pages) Linear mixed models (LMMs) are among the most commonly used tools for genetic association studies. However, ...
CU Boulder News & Events

DTSA 5002 Statistical Inference for Estimation for Data Science and AI

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...