With the rapid development of artificial intelligence technology, human-machine dialogue has become a standard feature of today's AI products. However, making these dialogues more efficient, natural, ...

Model averaging has long been proposed as a powerful alternative to model selection in regression analysis. However, how well it performs in high-dimensional regression is still poorly understood.

Partial linear models have been widely used as flexible method for modelling linear components in conjunction with non-parametric ones. Despite the presence of the non-parametric part, the linear, ...

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...

Citations: Blattberg, Robert. 1981. An Assessment of the Contribution of Log Linear Models to Marketing Research. Journal of Marketing. (2)89-97.