Estimation of the Hubble constant using Gaussian process regression and viable alternatives
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Updated
Jan 17, 2024 - Python
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/SARIMA 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
[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.
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