Distribution-free conformal prediction intervals for spatial and spatio-temporal data in R
This module contains functions, bootStrapParamCI and bootStrapPredictInterval, that follow a bootstrap approach to produce confidence intervals for model parameters and prediction intervals for individual point predictions, respectively.
Ensemble gradient-boosting models for fatigue prediction with calibrated prediction intervals and data-split comparison
Backtests baseline demand forecasters across many rolling origins and builds prediction intervals from actual backtest residuals, flagging intervals with too few residuals as low confidence.
The project involves the multivariate regression analysis of a dataset.
Uncertainty quantification of black hole mass estimation
LendScope ước lượng số tiền vay có thể phê duyệt sau tiền thẩm định bằng hồi quy, kèm khoảng dự báo, ràng buộc nghiệp vụ, API và dashboard. Hệ thống giúp doanh nghiệp chuẩn hóa đề xuất hạn mức và ưu tiên hồ sơ cần rà soát; chuyên viên tín dụng sử dụng kết quả, còn Data Scientist và ML Engineer có quy trình tái lập để triển khai và giám sát.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Predicts house prices while estimating prediction uncertainty using quantile regression and prediction intervals.
Conformal prediction intervals for Tweedie/Poisson insurance models - distribution-free coverage guarantees
Learn conformal prediction by watching it work: compare nonconformity scores on toy data, with uniform models, metrics, figures and reports. Add a score in one file.
Bachelor's thesis: benchmarking prediction intervals (LRM, quantile regression, gradient boosting, NGBoost) with split conformal calibration in a Monte Carlo study — reproducible notebook + Docker.
Complete mathematical and statistical analysis of linear regression model
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.
Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/
Conformal prediction intervals for Tweedie and Poisson insurance pricing models. Distribution-free coverage guarantees.
Measurement harnesses and exact rank arithmetic for auditing how Python conformal-prediction libraries resolve the conformal quantile at finite sample size.
A GARCH(1,1)-t forecasting model for ICE Coffee C futures, plus the 32-year, 10-model benchmark that motivated the volatility-model choice.
Used-car price estimation with calibrated prediction ranges. Two of three required models lose to a lookup table, and mileage turns out not to predict price once age is known.
Add a description, image, and links to the prediction-intervals topic page so that developers can more easily learn about it.
To associate your repository with the prediction-intervals topic, visit your repo's landing page and select "manage topics."