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International Visiting Professors

The M.Sc. in Stochastics and Data Science features courses modules taught by renowned visiting professors who are internationally recognised leading experts in their respective fields of research. These activities are partially supported by CRT Foundation, by the "de Castro" Statistics Initiative and by the ERC Consolidator Grant NBEBSS-SSP.

Next academic year

Simulation and inference in Population Genetics in Stochastic Modelling for Statistical Application

Bayesian model selection in high dimensions in Bayesian statistics

Current academic year

Probability couplings and Monte Carlo in Stochastic Modelling for Statistical Application

  • Jozsef Lorinczi (Loughborough University, UK), Spring 2020 (canceled for Covid-19 emergency)

Ornstein-Uhlenbeck processes and exit problems in Stochastic Processes

Heuristic introduction to stochastic differential equations with simulation in Stochastic Differential Equations

Asymptotics for posterior Bayesian inference in Bayesian statistics

Past academic years

  • Yosef Rinott (Hebrew University of Jerusalem, Israel), Spring 2019

Levy Processes in Stochastic Modelling for Statistical Application

Frequency domain and spectral analysis in Statistics for Stochastic Processes

  • Samuel Herrmann (Université de Bourgogne Franche-Comté, France) Spring 2019 

Simulation methods for diffusions in Stochastic Processes

Scalable algorithms in modern Bayesian computation in Bayesian statistics

Topics in branching processes in Stochastic Modelling for Statistical Applications

Markov semigroups and diffusion processes in Stochastic Processes

  • Yosef Rinott (Hebrew University of Jerusalem, Israel), Spring 2018

Spectral theory for times series and asymptotics in Statistics for Stochastic Processes

Dynamical processes in complex networks in Complex networks

Computational methods for Bayesian nonparametrics in Bayesian statistics

Introduction to martingales in Probability Theory

Introduction to stochastic modelling in Population Genetics in Stochastic Modelling for Statistical Applications

Dynamical processes in complex networks in Complex networks

Brownian motion in Stochastic Processes

  • Yosef Rinott (Hebrew University of Jerusalem, Israel), Spring 2017

Spectral theory for times series and asymptotics in Statistics for Stochastic Processes

Random partitions and dependent processes in Bayesian nonparametric statistics

Diffusion processes and conditioned processes in Stochastic Processes

Lévy processes and Poisson random measures in Stochastic Modelling for Statistical Applications

 

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