Bayesian inference with probabilistic programming.

An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing leveraging probabilistic models.

In this article, a novel probabilistic MBRL approach, probabilistic neural networks model predictive control (PNMPC) is proposed to tackle this issue. With an iterative learning framework, PNMPC ...

A study at the intersection of biology, statistics and medical imaging by IIM Indore faculty member Prof Sujoy Mukhoti has ...

For indoor localization, it has been reported that the methods based on probabilistic models have high localization accuracy and strong generalization in the presence of non-line-of-sight (NLOS) ...

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Figure 1 provides a concise overview of the flow diagram utilized in the failure probability calculation model applied to gas pipelines. The transport of high volumes of oil and its derivatives (oil ...

Just like ChatGPT and other generative language models train on human texts to create grammatically correct sentences, a new ...

Our NFL projection model forecasts each team’s chances of conquering their division, advancing in the playoffs and winning the Super Bowl.

The odds a U.S. recession will someday be determined to have begun between January 2025 and January 2026 have dropped to a little higher than a one-in-four chance.