The Data Reduction for Science program seeks applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more ...

Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

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 ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

As statistics continues to play an ever more important role in society, equal access to data resources in developing countries is becoming more essential. Yet the ability to collect good data, the ...