The writing of the book supporting these lectures is in progress.
- 2010-:
Institut Mines-Télécom Atlantique, Brest,
lectures (in French) on nonstationary processes (Mathematical and Computational Engineering Lectures).
My 3rd year lectures on nonstationary processes for the academic year 2020-2021 will take place in March 2021.
They have been quite rewritten from scratch,
after reviewing a long series of papers and books (over 70 and counting) on these issues for
Mathematical Reviews®.
The new section on deep learning and AI is obviously expanding.
List of past lectures for the academic year 2020-2021:
- Lecture 1 (Monday 8th March 2021): Volatility models.
GARCH model: definition, properties, dependence structure, QML estimation.
- Lecture 2 (Tuesday 9th March 2021): Exponential GARCH model. Bootstrap methods and their application to model-free prediction and
inference of univariate models. Multivariate models. Change-point models.
- Lecture 3 (Monday 22th March 2021): Long-range dependent and multifractal volatility models.
Wavelet analysis of volatility processes.
- Lecture 4 (Tuesday 23th March2021): Volatility estimation of high frequency time series.
Deep Learning: convolutional, recurrent and hybrid architectures, with the PyTorch
and fast.ai libraries.