Mini-course by Johel Beltrán
Johel Beltrán will give a course on "Martingale problem and asymptotic lumpability for Markov chains". The course will consist of six lectures of two hours each, from May 03 to May 11, see the calendar.
Applications are invited for postdoctoral positions in Percolation, Particle Systems, and Stochastic Networks. The positions last two years and have a monthly stipend of around 19600ARS, to start in April, 2018.
Applicants should write to email@example.com attaching:
- Motivation letter;
- Research statement.
Two recommendation letters should be sent confidentially to firstname.lastname@example.org by June 20.
The deadline for applying is June 15.
2015 conferences in the region
Random processes and optimal configurations in analysis, Buenos Aires, July 6-17.
Disordered Models of Mathematical Physics, Valparaíso, Chile, July 21-24.
XVIII International Congress on Mathematical Physics, Santiago, Chile, July 27-August 1.
XIX Brazilian School on Probability, Maresias, August 03-08.
37th Stochastic Processes and Applications
The 37th Conference on Stochastic Processes and their Applications will take place at the University of Buenos Aires, Argentina, from July 28 to August 1, 2014.
The Latin American Society for Probability and Mathematical Statistics awarded Julián Martínez the Aranda-Ordaz Prize for this PhD thesis "Dynamical Gibbs-non-Gibbs transitions and Brownian percolation" written under the supervision of Frank den Hollander and Roberto Fernández.
The Institute of Mathematical Statistics has selected Pablo A. Ferrari as one of the 19 new IMS Fellows for 2013, "for his fundamental contributions to exclusion processes and quasi-stationary distributions".
Pablo A. Ferrari awarded the Diploma al Mérito by the Konex Foundation.
Pablo Groisman awarded Premio Estímulo "Manuel Sadosky" of the National Academy of Sciences 2012.
Mar del Plata, 19 nov - 30 nov 2012. webpage
We are mainly interested in exclusion processes, zero-range processes, activated random walks, greedy policies, contact processes, and stochastic networks.
In this context, we mainly look into properties such as invariant measures, scaling limits, phase transition, self-organized criticality, stability.
To that end, we use several tools such as: coupling from the past, resampling, stochastic abelianness, random algorithms, large deviations, renewal times.