The ‘Political Score’ You Might Not Even Know You Have

Meet Mark Grebner, the Michigan statistician who helped pioneer the science of predicting whether someone will vote ...
IEEE

PROCA: Programmable Probabilistic Processing Unit Architecture with Accept/Reject Prediction & Multicore Pipelining for Causal Inference

Abstract: Causal inference is an important field in data science and cognitive artificial intelligence. It requires the construction of complex probabilistic models to describe the causal ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
GitHub

inference-statistics

Add a description, image, and links to the inference-statistics topic page so that developers can more easily learn about it.
IEEE

Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs

Abstract: Meteorological parameters are increasingly influenced by unsustainable development and environmental pollution, contributing to the rising frequency of natural calamities. Accurate ...
Hosted on MSN

SPX6900 price prediction 2025-2031: Will SPX6900 soar 10x or crash?

SPX6900 (SPX) functions primarily on the Ethereum network. The token was created as a meme to entertain wider audiences. It has no real connection with stock market, equities, or securities. The meme ...