Meeting in Mathematical Statistics


MMS 2018 - December 16 - 21
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Participants

Program

Practical Information

 

Program

Monday 17 Tuesday 18 Wednesday 19 Thursday 20
Friday 21

8:55- Opening
9:00 - 9:45
Podolskij

Break

10:00 - 12:00
Mukherjee
Ermakov
Paris


9:15 - 10:15
A. Dalalyan 2/2


Break

10:30 - 12:00
Altmeyer
Lffler



9:15 - 10:15
H. Zhou 1/2


Break

10:30 - 12:30
Wu
Belitser
Berthet

9:15 - 10:15
H. Zhou 2/2


Break

10:30 - 12:00
Derumigny
Enikeeva


9:00 - 10:30
Bellec
Tsybakov

Break

10:45 - 12:15
Panov
Mao
Lunch Lunch Lunch Lunch Lunch

16:00 - 17:00
A. Dalalyan 1/2



16:00 - 17:30
Rigollet
Stepanova



16:00 - 17:30
Gao
Suvorikova


Break Break
Break

17:15 - 19:15
Rivoirard
Duval
Mariucci


17:45 - 19:15
Steinberger
Ndaoud


17:45 - 19:15
Salmon
Chinot



Altmeyer
Nonparametric Estimation for Stochastic Partial Differential Equations (SPDEs)
Belitser
Robust inference for general projection structures
Berthet

Chinot
Derumigny
About the estimation of conditional Kendall's tau and Kendall's regression
Duval
Compound Poisson approximation to estimate the Lvy density
Enikeeva
Bump detection in linear Gaussian models
Ermakov On consistency and inconsistency of nonparametric tests
Gao

Lffler
Spectral Tresholding for the estimation of transition densities of discretely observed elliptic SDEs
Mao
Optimal estimation of two-dimensional totally positive densities
Mariucci
Gaussian approximation for the small jumps of Lvy processes
Mukherjee
Ndaoud
Sharp optimal recovery in the Gaussian mixture model
Panov
Optimal estimation in mixed membership stochastic block models
Paris
Learning minimizers of functionals on metric spaces
Podolskij
High dimensional problems for diffusion models: A short survey and future challenges
Pontil

Rigollet

Rivoirard Hawkes processes: Frequentist and Bayesian inference
Salmon
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression
Steinberger
Geometrizing rates of convergence under local differential privacy
Stepanova
On binary classification in sparse models
Suvorikova
Central Limit Theorem in Bures-Wasserstein space with applications
Tsybakov
Adaptive robust estimation under sparsity in non-gaussian sequence model
Wu
Efficient random graph matching via degree profiles


Organizing Committee




Sponsors

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