“Applied statisticians are often confronted with statistical inference problems dealing with situations in which there appear to be no data, or data of only limited usefulness.” An example of ‘Sparsity‘ – in which statisticians find themselves having to deal with datasets which are primarily populated with zeros. That’s to say, they’re ‘sparse’. In such cases, […]
