A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

To address this challenge and enhance the efficiency of MDA based on TVAR model, we propose a Sparse Bayesian Network (SBN) that unfolds a fast Mean Field SBL (MF) using a deep variational ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Using Bayesian networks as a surrogate of a forward model facilitates bidirectional predictions because Bayesian networks do not distinguish between inputs and outputs. The network acts as a surrogate ...

Lasmiditan is a promising treatment for menstrual migraine, offering sustained pain relief comparable to or exceeding that of triptans. However, further research is needed to fully assess its safety ...

There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors regression, kernel ridge regression, random forest regression, and neural network ...

A new study published in BMC Pregnancy and Childbirth found that the interpregnancy interval (IPI) of 24-29 months decreases ...

Astronomers at the Max Planck Institute for Astronomy have created the most comprehensive three-dimensional map of the ...

This paper examines the relationship between Knightian uncertainty and Bayesian approaches to entrepreneurship. Using Bewley's formal model of uncertainty and incomplete preferences, it demonstrates ...

The Historical Role of Fire in Shaping U.S. Forests S. forests, acting as nature's way of maintaining balance. Historically, ...