As of 29 Jan 2025 Google has released a new official Bayesian MMM version called Meridian available at https://github.com/google/meridian. Please visit this site or ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2018. Cells are the basic units of life, yet their architecture and ...

In this paper, I present and discuss a novel approach to parameterize a gravity model of migration using Bayesian hierarchical models with random intercepts that are free to vary by country of origin, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. An accurate ...

The success of deep learning is often attributed to its ability to harness the hierarchical and compositional structure of data. However, formalizing and testing this notion remained a challenge. This ...

Computational modeling and mathematical modeling provide an insightful quantitative framework that allows researchers to inspect latent processes and to understand hidden mechanisms. Hence, ...

Abstract: This paper is concerned with explicitly modeling the effect of terrain on wind power curves. Terrain characteristics are spatially-varying but temporally constant, whereas other power ...

Abstract: Bayesian sampling methods based on Hierarchical models Bayesian analysis methods are commonly used to estimate and infer the parameters of hierarchical models. In this paper, a sampling ...

Objective Previous studies have indicated that spatial variation in suicide mortality is associated with area-specific socioeconomic characteristics, such as socioeconomic deprivation and social ...