Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...

Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 182, No. 3 (2019), pp. 831-861 (31 pages) The paper develops a global vector auto-regressive model with time varying ...

The development of generative technology began with Generative Adversarial Networks (GANs), progressed to autoregressive and diffusion models, and is now focusing on controllable generation. This ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...