In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

As I have had more opportunities to handle time series data in my work, I have frequently been asked, 'What kind of results are we likely to see in the future?' Therefore, I picked up the book ...

We present Channel-wise Vector Quantization (CVQ), a novel image tokenization paradigm that replaces patch-wise tokens with channel-wise tokens. Unlike conventional vector quantization, which assigns ...

Matlab code for large-scale simulation studies of impulse response estimators, including Local Projections (LPs), Vector Autoregressions (VARs), and several variants of these Settings: Folder with ...

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...

Here we dispel the lingering myth that Partial Directed Coherence is a Vector Autoregressive (VAR) Modelling dependent concept. In fact, our examples show that it is spectral factorization that lies ...