[ICML 2024] Code repository for "TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression". We address the problem of sub-optimal covariance estimation in deep heteroscedastic regression by proposing a new model and metric.
Estimation of the Hubble constant using Gaussian process regression and viable alternatives
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
tool to verify model test specifications and presence of heteroscedasticity in the forest inventory plot
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