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
The new section on deep learning and AI is obviously expanding.
The writing of the book supporting these lectures is in progress.
List of past lectures for the academic year 2018-2019:
Lecture 2 (Friday 11th January 2019): 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 25th February 2019): Long-range dependent and multifractal volatility models.
Wavelet analysis of volatility processes.
Lecture 4 (Tuesday 26th February 2019): Volatility estimation of high frequency time series.
Deep Learning: convolutional, recurrent and hybrid architectures.
The first class requires a good working knowledge of R.
Since the academic year 2016-2017, students undertaking their dissertation on Machine Learning, deep learning, etc., are using
with the PyTorch,
libraries, or Torch for R.
The efficiency of the running of Python programs is substantially improved by calling
them within a Julia program.
Some statistical procedures are using Octave, a matrix oriented
programming language for numerical computing, the syntax of which is
similar to Matlab, up to some changes in the syntax of a few functions.
programming language is still the most powerful language. Valgrind is a useful tool for memory leak debugging,
is a free/open-source library for nonlinear optimization, callable from C,
C++, Fortran, Python, Julia,
Octave, and Matlab programs.
the Berkeley Open Infrastructure for Network Computing, is an open-source software for volunteer and grid computing.
BOINC projects are covering several fields: physics, astronomy,
mathematics, biology, artificial intelligence, cryptography, computer science, etc. If your project is computationally very
intensive, and intellectually attractive, you can transform it into a BOINC project.
for displaying mathematics on webpages, which works on all modern browsers and that I'm
using for my web pages. Further details are provided by the paper published in the Notices of the American Mathematical SocietyMathJax: A Platform for Mathematics on the Web (2012), vol 59, 312-316,
The Scholarly Open Access website contains a critical analysis of
scholarly open-access publishing, and in particular provides a list of predatory journals and publishers that must be avoided.
Further details are given in J. Beall Predatory publishers are corrupting open access,
Nature 489, 179, (13 September 2012)DOI.
This organization provides research institutes and academic places
with a database for deterring and detecting plagiarism.