eLife

Hierarchical Bayesian modeling of multi-region brain cell count data

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
eLife

Hierarchical Bayesian modeling of multi-region brain cell count data

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
InfoQ

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Frontiers

Toward interpretable expected goals modeling using Bayesian mixed models

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
C&EN

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories

Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States Irell and Manella Graduate School of ...
IEEE

A mixture model approach to automatic radar target recognition using WinBUGS

Abstract: This paper considers the use of the software package WinBUGS for an application to a previously documented technique for automatic radar target recognition. Mixture models under a Bayesian ...
Scientific Research Publishing

Modeling and Forecasting of Consumer Price Index of Foods and Non-Alcoholic Beverages in Kenya Using Autoregressive Integrated Moving Average Models ()

Food and non-alcoholic beverages are highly important for individuals to continue staying alive and living healthy lives. The increase in the prices of food and non-alcoholic beverages experienced ...
Science Daily

New AI model could make power grids more reliable amid rising renewable energy use

Researchers use AI to manage the growing complexity of modern power grids. As renewable energy sources such as wind and solar become more widespread, managing the power grid has become increasingly ...