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Blog
Varying Coefficient Boosting for geospatial and temporal data
Jan 2024
With PyTorch, I can Gradient Boost anything
Jan 2024
Winning with Simple, not even Linear Time-Series Models
May 2023
Varying Coefficient GARCH
Jan 2023
When Point Forecasts Are Completely Useless
Jan 2023
Why I prefer Probabilistic Forecasts – Hitting Time Probabilities
Dec 2022
Random Forests and Boosting for ARCH-like volatility forecasts
Oct 2022
Forecasting with Decision Trees and Random Forests
Sep 2022
Multivariate GARCH with Python and Tensorflow
Sep 2022
Cointegrated time-series and when differencing might be bad
Aug 2022
Facebook Prophet, Covid and why I don’t trust the Prophet
Aug 2022
Probabilistic CUSUM for change point detection
Aug 2022
Multivariate, probabilistic time-series forecasting with LSTM and Gaussian Copula
Jun 2022
Let’s make GARCH more flexible with Normalizing Flows
Jun 2022
ARMA forecasting for non-Gaussian time-series data using Copulas
Jun 2022
Bayesian Machine Learning and Julia are a match made in heaven
Mar 2022
When is Bayesian Machine Learning actually useful?
Jan 2022
A Gaussian Process model for heteroscedasticity
Jun 2021