Technological advances in LC-MS/MS have greatly advanced our capabilities to explore proteomes. In bottom-up proteomics, the most widely used approach, proteins are proteolytically digested into ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 180, No. 4 (OCTOBER 2017), pp. 1191-1209 (19 pages) Area level models, such as the Fay–Herriot model, aim to improve ...

Abstract: Errors in stratospheric bending angles retrieved from GPS radio occultations can be significantly reduced by using statistical optimization. In order for ...

Abstract: The traditional temporal error concealment methods are recovery-of-lost-MV based. However, in this paper a statistical pixel estimation model is established ...

Scientists are evaluating machine-learning models using transfer learning principles. Omar Maddouri, a doctoral student in the Department of Electrical and Computer Engineering at Texas A&M University ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

Mapping the mass distribution \(\rho_m\) in the universe is an important aspect of observational cosmology as the statistics of these mass maps contain a lot of information on the cosmology of our ...