Probability at Durham
Probability resources
This page collects some on-line probability resources. It is intended primarily for postgraduate students.
Research
- Recent papers in probability at arxiv; MathSciNet search; MSC 2010; AMS serial abbreviations.
Probability on the web
Indexes and portals
- ORCID; European Mathematical Information Service; ResearcherID; ResearchGate.
- Dissertations and Theses: ProQuest (US & Worldwide); EThOS (UK); theses.fr (France).
Advice for postgraduate students
- Wisdom from Sara Billey, Fan Chung Graham, Carl Mueller, Gian-Carlo Rota, Michael Steele, Terry Tao. Uri Alon on how to choose a good scientific problem. Mark Dredze on how to be a successful PhD student. Nick Higham on how to read and understand a paper.
Professional development
- Vitae site, including researcher development framework.
Open problems
- From David Aldous, Krzysztof Burdzy, Thomas Liggett, Michel Talagrand. Open problems in Combinatorics.
Journals
- See this page for a selection.
Learned societies
Events
- APTS courses.
- RSS applied probability; IMA; LMS; EMS; IMS; Bernoulli Society.
Durham training
- MAGIC lecture courses.
- CAROD (Centre for Academic, Researcher & Organisation Development) courses.
- CIS training courses.
Durham regulations and resources
- Core regulations, code of practice, and learning and teaching handbook entries for research degrees.
- PG webpages including LaTeX templates.
- Library (new books, e-journals); statistics seminars; teaching weeks.
Computing
- Condor.
- Detexify LaTeX handwritten symbol recognition.
- PSTricks.
- R home page and search.
- The Integrator.
Mailing lists
History and biography
- MacTutor History of Mathematics archive; John Aldrich's Figures from the History of Probability and Statistics.
- Materials for the History of Statistics, including Portraits of Statisticians and Life and Work of Statisticians.
- Mathematical Quotes here and here; Mathematics Genealogy Project.
- Collected papers of Paul Erdős; Kai Lai Chung Papers; Karl Pearson's Hampstead Home; Laplace on probability and statistics.