MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like ...

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

Statistical Science, Vol. 27, No. 4, Special Issue on Sparsity and Regularization Methods (November 2012), pp. 558-575 (18 pages) Consider a regression model with fixed design and Gaussian noise where ...

In statistics, data collection is a difficult process that demands thoughtful consideration. Securing a sufficient sample size can be challenging, or even impossible, regardless of the method employed ...

Description: An introduction to probability theory and the basic statistical estimation methods. Topics include: axiomatic development of probability theory, counting methods, conditional probability ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Statistical methods find wide application in geology, especially in the study of textures and composition of sedimentary rocks. Certain apparent irregularities in the data, such as highly skewed ...