StatScale Workshop Outline 2018
Monday 16th April
12.30pm Registration and Lunch with Time for Discussions
2.00pm Welcome
2.15pm Paul Fearnhead (Lancaster University)
Efficient algorithms for changepoint detection
3.00pm Stéphane Robin (AgroParisTech)
Inference of adaptive shifts for multivariate correlated traits
3.45pm Break
4.15pm Yi Yu (University of Bristol)
Optimal change point detection in dynamic networks
5.00pm Min Xu (University of Pennsylvania)
Optimal rates for community estimation in the weighted stochastic block model
5.45pm Break for checking in
6.30pm Lightning Talks and Wine Reception
8pm Conference Dinner
Tuesday 17th April
9.00am Tengyao Wang (University of Cambridge)
High-dimensional changepoint estimation via sparse projection
9.45am Hao Chen (University of California, Davis)
Asymptotic distribution-free change-point detection for modern data
10.30am Break
11.00am Haeran Cho (University of Bristol)
Multiple change-point detection via multiscale MOSUM procedure with localised pruning
11.45am Guillem Rigaill (Institut National de la Recherche Agronomique)
Changepoint detection in the presence of outliers
12.30pm Lunch and Time for Discussions
3.15pm Rajen Shah (University of Cambridge)
Conditional Independence Testing: Hardness, the Generalised Covariance Measure and Double Estimation Friendly Inference
4.00pm Claudia Kirch (Otto-von-Guericke-Universität Magdeburg)
Frequency domain likelihood approximations for time series bootstrapping and Bayesian
nonparametrics
4.45pm Break
Free Time
7pm Dinner
Wednesday 18th April
9.00am Arnoldo Frigessi (University of Oslo)
Personalized computer simulation of breast cancer treatment: Scaling up a multiscale dynamic model informed by multi-source patient data
9.45am Katharina Proksch (University of Göttingen)
Statistical inference formolecules
10.30am Break
11.00am Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign)
Risk bounds for matrix total variation denoising
11.45am Jonas Peters (University of Copenhagen)
Invariances in ODE-based systems
12.30pm Lunch and Time for Discussions
Afternoon Free Time
7pm Dinner
Thursday 19th April
9.00am John Duchi (Stanford University)
Some statistical aspects of distributional robustness
9.45am Weijie Su (University of Pennsylvania)
Statistical inference for online learning and stochastic approximation via hierarchical
incremental gradient descent
10.30am Break
11.00am Holger Dette (Ruhr-Universität Bochum)
Functional data analysis for continuous functions
11.45am Alex Aue (University of California, Davis)
Testing for stationarity of functional time series in the frequency domain
12.30pm Lunch and Time for Discussions
3.15pm Brendan Murphy (University College Dublin)
Exploring the social media relationships of Irish politicians using a latent space stochastic
blockmodel
4.00pm Asaf Weinstein (Stanford University)
Compound decision with heteroscedastic data
4.45pm Break
5.15pm Free Time
7pm Dinner
Friday 20th April
9.00am Rebecca Killick (Lancaster University)
Estimating periodicities in high frequency data
9.45am Aaditya Ramdas (UC Berkeley)
Uniform nonasymptotic confidence sequences, with applications to sequential testing and
estimation
10.30am Break
11.00am Azadeh Khaleghi (Lancaster University)
Approximations of the restless bandit problem
11.45am George Michailidis (University of Michigan)
Change point problems for large scale problems
12.30pm Lunch and Close