Slides from recent talks

Belatedly joining the 21st century, I am starting doing Beamer slides. Those talks below the line are old school LaTeX slides, which tend to have missing material (hand-drawn figures or figures copied from other sources).

Interacting particle systems as stochastic social dynamics. U.C. San Diego "Probability and Statistics Day", April 2013.

Entropy for Sparse Random Graphs With Vertex-Names. ITA Workshop, San Diego, February 2013. A previous version was given at BIRS Banff workshop ``Models of sparse graphs and network algorithms", February 2012: here is a video of that version.

A conjectured compactification of some finite reversible Markov chains. Courant Institute, September 2012.

My summer 2012 lectures on Finite Markov Information Exchange Processes have their own page.

Modeling interaction and information updating in networks. UT Austin, Distinguished Lecture in Information Theory and Network Science, April 2011.

Scale-invariant random spatial networks. Berkeley Probability Seminar, September 2010. Canadian Math Society Winter Meeting, Vancouver B.C., December 2010. Columbia University IEOR-DRO seminar, December 2010. Stanford University Probability Seminar, May 2011.

Exchangeability and continuum limits of discrete random structures. ICM 2010, Hyderabad, August 2010.

Connected spatial random networks. Newton Institute, April 2010.

Mixing Times and Hitting Times. Lecture in AMS short course, San Francisco, January 2010.

Spatial random networks . Pacific Northwest Probability Seminar, U. Washington, October 2009.

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4 Lectures on local weak convergence from the Probability at Warwick Young Researchers Workshop, July 20-24, 2009.

Spatial Random Networks. Stochastic Networks conference, Paris, June 2008.

Some broad questions about the Tree of Life. Newton Institute, Cambridge, December 2007.

When Knowing Early Matters: Gossip, Percolation and Nash Equilibria. ICTP, Trieste, July 2007.

Short length routes in low cost networks Talk by co-author Wilf Kendall, September 2007: much better than my talks! As is this poster presentation.

Spatial random Networks Various places, October 2006 - May 2007. Later version is above.

Flows through random networks. SPASWIN, Boston, April 2006.

Optimal flow through the disordered lattice Berkeley, February 2006.

Flows through random networks. INFORMS, Ottawa, July 2005.

Percolating paths through random points Oberwolfach, May '05.

A Tractable Complex Network Model Cornell, U.C.L.A, March 2005.

Local weak convergence of random networks: towards the cavity method MSRI Berkeley, March 2005.

Constrained Ising models and speculative application to sensor networks Confererence in honor of Persi Diaconis, UC San Diego, January 2005.

Workshop Introduction: Models of real-world networks MSRI, Berkeley, January '05.

Random graphs, the multiplicative coalescent and percolation of tree-averages Newton Institute, December '03.

Mean-field combinatorial optimization, fixed point equations, and local weak convergence Berkeley, November '02; UCSB, December '02; Stanford, February '03, Microsoft Research, February '03.

Maximum partial matchings on random trees; an illustration of the local weak convergence methodology. Colloque Informatique et Mathematiques, Versailles, September '02.

A survey of max-type recursive distributional equations. Probability Symposium, Banff, July '02.

How to Combine Fast Heuristic Markov Chain Monte Carlo with Slow Exact Sampling SPA conference, Cambridge, July '01.

Mathematical Probability: some topics we understand, some we don't The Mordell Lecture, University of Cambridge, May '01.

Random graphs and complex networks. Berkeley (March '01).

The zeta(2) limit in the random assignment problem. Berkeley (October '00), Stanford (December '00).

The Asymmetric One-Dimensional Constrained Ising Model: Rigorous Results Berkeley (March '00), Stanford (February '00), Madison (February '02).



4 LECTURES ON STOCHASTIC COALESCENCE

Slides from lectures given in Berkeley in Spring 2000, and at the Fourth Brazilian School of Probability, Mambucaba, August 2000.

Lecture 1 Coalescence in physical science; the basic deterministic and stochastic models.

Lecture 2 The gelation phase transition and the multiplicative case.

Lecture 3 Overview of stochastic coalescence results; the additive case.

Lecture 4 The hashing (parking) model: recent work of Chassaing-Louchard and Bertoin on the additive case.

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Just for a historical record, I was an early adopter of SliTeX: here is

my 1990 talk that was written up as The Continuum Random Tree II

without the pictures that were hand-drawn ......

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