eLife

Interpreting prediction intervals and distributions for decoding biological generality in meta-analyses

Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia Division of Ecology and Evolution, Research School of ...
IEEE

Uncertainty Quantification Based on Conformal Prediction for Industrial Time Series With Distribution Shift

Abstract: Conformal prediction (CP) is known to theoretically guarantee prediction interval coverage under the exchangeability assumption. However, industrial time series collected from real-world ...
marktechpost

Self-Calibrating Conformal Prediction: Enhancing Reliability and Uncertainty Quantification in Regression Tasks

In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration ensures ...
Frontiers

A support vector regression-based interval power flow prediction method for distribution networks with DGs integration

1 New Smart City High-Quality Power Supply Joint Laboratory of China Southern Power Grid, Shenzhen Power Supply Co., Ltd., Shenzhen, Guangdong, China 2 College of Electrical and Information ...
GitHub

geom_smooth: Prediction interval and not confidence interval for se in the documentation

if I use geom_smooth(), then an interval is shown in the standard se = TRUE, which does not have a constant width. Especially for linear estimates of slope parameters. However, the documentation ...
Frontiers

Short-term wind power prediction and uncertainty analysis based on VDM-TCN and EM-GMM

Due to the fluctuating and intermittent nature of wind energy, its prediction is uncertain. Hence, this paper suggests a method for predicting wind power in the short term and analyzing uncertainty ...
IEEE

Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction

Abstract: Machine learning often lacks transparent performance indicators, especially in generating point predictions. This paper addresses this limitation through conformal prediction, a ...