ABS12 - 2012 Applied Bayesian Statistics School

STOCHASTIC MODELLING FOR SYSTEMS BIOLOGY

Pavia, Italy

September, 3-7, 2012

PROGRAMME

Monday September 3

· [13.00- ] Registration

· [14.00-16.00] Introduction to Markov processes

· [16.00-16.30] Break

· [16.30-17.30] Review of Bayesian inference

· [17.30-19.15] Participants' Talks (15 minutes each, at most)

· Simona Arcuti
Spatio-temporal models for zero-inflated data: an application to

the abundance data of two crustaceans species in the Ionian Sea

· Maja Czokow

Bayesian networks in detecting key structure features of a spring

system in exploring proteins conformations

· Martina Feilke

Bayesian spatial analysis of FRAP-images

· Luca Ferreri

A discrete stochastic model of the transmission cycle of the tick

borne encephalitis virus

· Thijs Janzen

Diversification in a dynamic landscape

· Eugenia Koblents

A novel population Monte Carlo method for Bayesian inference

and its application to stochastic kinetic models

· Laura Martin Fernandez

Particle filter estimation in a stochastic predator-prey model

· [20.00-22.00] Welcome buffet at Osteria alle Carceri, Via F.lli Marozzi, 7

Tuesday September 4

· [09.00-10.30] Bayesian computation

· [10.30-11.00] Break

· [11.00-12.30] Likelihood free inference for Markov processes and pMCMC

· [12.30-14.00] Lunch at La Bouvette dell'Ingegnere (next to CNR IMATI)

· [14.00-16.00] PRACTICAL SESSION : Stochastic simulation and Bayesian computing

· [16.15-18.45] Participants' Talks (15 minutes each, at most)

· Michal Matuszak

Application of the Bayesian influence diagram framework to the

ramified optimal transport problem

· Preetam Nandy and Michael Unger

Optimal perturbations for the identification of stochastic

reaction dynamics

· Robert Ness

Causal network modeling for drug target discovery

· Hossein Farid Ghassem Nia

Bayesian decision making in computer vision with an approach to

industrial automation

· Gian Marco Palamara

Statistical inference for temperature dependent logistic time series

· Jaroslaw Piersa

Statistical description of functional neural networks

· Ihor Smal

Sequential Monte Carlo methods for multiple object tracking in

molecular bioimaging

· Sofia Tsepletidou

Computational Bayesian tools for modeling the aging process

· Giorgio Vacchiano

Modeling dynamics of forest ecosystems

· Felix Weidemann

A Bayesian approach to infectious disease modelling using

ordinary differential equations: rotavirus in Germany

Wednesday September 5

· [09.00-10.30] Examples, code, and posterior analysis

· [10.30-11.00] Break

· [11.00-13.00] PRACTICAL SESSION: Bayesian inference for Markov processes

· [13.00- ] Free afternoon and evening

Thursday September 6

· [09.00-11.00] Biochemical networks and stochastic kinetics

· [11.00-11.30] Break

· [11.30-12.30] Diffusion approximations, and extrinsic noise

· [12.30-14.00] Lunch at La Bouvette dell'Ingegnere (next to CNR IMATI)

· [14.00-15.30] Case studies

· [15.30-16.00] Break

· [16.00-18.00] PRACTICAL SESSION: Simulation and Bayesian inference for stochastic kinetic biochemical network models

· [20.00- ] Farewell dinner at Antica Osteria del Previ, Via Milazzo 65

Friday September 7

· [09.00-11.00] Bayesian inference for SDEs