A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This paper presents a methodology for workload characterization and root cause analysis using the Arm Statistical Profiling Extension (SPE) demonstrated on a Neoverse N1 core. The target audience are ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Assumptions are like rules that must be followed to ensure results of a statistical analysis are valid. Common methods for generating confidence intervals operate under various assumptions. First, ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Kevin Dayaratna was Director of the Center for Data Analysis and Chief Statistician for Heritage. A variety of statistical tools can detect potential breaches in the integrity of elections. These ...

Statistics influence nearly everything. That is, the information and context derived from statistical analysis help to shape important decisions that have local, national, and global impacts. For ...