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ABS16 - 2016 Applied Bayesian Statistics School
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Monday August 29: Introduction to Thompson sampling |
·
[13.00- ] Registration
· [14.00-16.00] Introduction to Bayesian
Methods, Experiments and Thompson Sampling
· [16.00-16.30] Coffee
break
· [16.30-17.30] Bayesian computation: Gibbs, Metropolis,
and slice sampling
·
[17.30-18.30] Participants'
introductions
Tuesday
Agust 30: Contextual and multivariate experiments |
·
[09.00-10.30] Sparse regression modeling with spike and
slab priors
· [10.30-11.00] Coffee
break
· [11.00-12.30] Data
augmentation for non-Gaussian models: Probit, logit, Poisson,
and T
· [12.30-14.00]
Lunch at Villa del
Grumello
· [14.00-15.00] Practical
Session: Introduction to R
·
[15.00-15.30] Coffee
break
· [15.30-17.00]
Participants'
Talks
Discussant: Prof. Francesca Greselin (Universitą Milano-Bicocca) |
Wednesday
August 31: Sparsity |
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[09.00-10.30] Introduction
to structural time series.
· [10.30-11.00] Coffee
break
· [11.00-13.00] Practical
Session: Bayesian Multi-armed bandit
· [13.00- ] Free afternoon
and evening
Thursday
September 1: Time series models
with applications |
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[09.00-10.30]
Advanced topics in structural time series models
· [10.30-11.00] Coffee
break
· [11.00-12.30]
Tutorial
on bsts software
· [12.30-14.00] Lunch at Villa del Grumello
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[14.00-15.30] Case studies:
CausalImpact, nowcasting, forecasting
·
[15.30-16.00] Coffee
break
· [16.00-18.00] Practical
Session: Variable selection in Regression and Time
series
· [19.30- ]
Social Dinner
Ristorante
Il Solito Posto http://www.ilsolitoposto.net/ Via Lambertenghi, 9 |
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Friday
September 2: Facing "big" data |
·
[09.00-10.30] Consensus Monte
Carlo
· [10.30-11.00] Coffee
break
·
[11.00-12.30]
Practical:
the Consensus Monte Carlo algorithm
· [12.30-13.00] Final Q&A