Research
I work on methods for building predictive models from data generated by stochastic processes, and applying those models to questions about neural information processing, self-organization in cellular automata, and so forth. All of this is about using tools from probability, statistics, and machine learning to understand large, complex, nonlinear dynamical systems. This is why my dissertation was in statistical physics, but I now teach in a statistics department. My departmental homepage has a fuller explanation of what I do, and how I came to do it, in terms which (I hope) make sense to statisticians. Curriculum Vitae/Resume: Lists my publications, teaching, and other professional data. My doctoral dissertation, Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata (2001). A unified presentation of the material from my previous papers on computational mechanics, plus several chapters of until-then unpublished work. Includes quantitative definitions
Research Cosma Research Changing my shape I feel like an accident I work on methods for building predictive models from data generated by stochastic processes, and applying those models to questions about neural information processing, self-organization in cellular automata, and so forth. All of this is about using tools from probability, statistics, and machine learning to understand large, complex, nonlinear dynamical systems. This is why my dissertation was in statistical physics, but I now teach in a statistics department. My departmental homepage has a fuller explanation of what I do, and
Explore this link on the map →saved by
related reading
- Prediction Processes; Markovian (and Conceivably Causal) Representations of Stochastic Processesbactra.org
- Shtetl-Optimized >> Blog Archive >> The First Law of Complexodynamicsscottaaronson.blog
- 1 An Informal Introduction to Intelligencema-lab-berkeley.github.io
- Bryon Aragam // University of Chicagobryonaragam.com
- Competing with sampling — Alignment Research Centeralignment.org
- Writing - betanalpha.github.iobetanalpha.github.io
- AlgZoo: uninterpreted models with fewer than 1,500 parameters — LessWronglesswrong.com
- Miscpapersstat.berkeley.edu
- Frederic Koehlerfrkoehle.github.io
- David Duvenaudcs.toronto.edu
- Bayesian programming - Wikipediaen.wikipedia.org
- ARC progress update: Competing with sampling — LessWronglesswrong.com