Meeting Co-sponsors
Program of ISNPS III (Avignon, 2016)
Table of Contents
1 Saturday June 11
15h00 | Registration |
18h00 | Welcome cocktails room Benedict XII cloister |
2 Sunday June 12
8h30-9h00 | Registration and introduction | |||||||
9h00-10h00 | Plenary session: T. Mikosch | |||||||
10h00-10h30 | Coffee break | |||||||
10h30-12h30 | Einmahl | Fromont | Liu | Hart | Dabo | Johannes | Sperlich | C-S-11 |
12h30-14h15 | Lunch | |||||||
14h15-16h15 | Soulier | Wang, H. | Romo | Abadir | Dudek | Abramson | C-S-15 | C-S-10 |
16h15-16h45 | Coffee break | |||||||
16h45-18h45 | Sabourin | Sapatinas | Chen | Schimek | Dalalyan | Akritas | C-S-3 | C-S-13 |
3 Monday June 13
8h30-10h30 | Bunea | Wang, S. | Dette | Xie | Wang, Q. | C-S-4 | C-S-5 | C-S-14 |
10h30-11h00 | Coffee break | |||||||
11h00-13h00 | Rivoirard | Kratz | Datta | Xu | Meintanis | Vieu | C-S-12 | C-S-16 |
13h00-14h15 | Lunch | |||||||
14h15-16h15 | Ghoshal | Markovich | Vasiliev | Munk | Meintanis | Vieu | Koul | C-S-9 |
16h15-16h45 | Coffee break | |||||||
16h45-18h45 | Lahiri | Huskova | Politis | Muller | Nordman | Parast | Wintenberger | C-S-17 |
19h00-20h30 | ISNPS Council comitee meeting |
4 Tuesday June 14
8h30-9h30 | Plenary session: A. Owen | |||||
9h30-10h30 | Invited session: R. Liu | Invited session: G. Biau | ||||
10h30-11h00 | Coffee break | |||||
11h00-13h00 | Durot | Dahlhaus | Pensky | Das Gupta | Marron | Zakoian |
Lunch and social program |
5 Wednesday June 15
8h30-10h30 | Barnejee | Cao | Paparoditis | Hallin | Schick | Kreiss |
10h30-11h00 | Coffee break | |||||
11h00-13h00 | Peter Hall Memorial Session: P. Bickel and ISNPS Awards | |||||
13h00-14h15 | Lunch | |||||
14h15-16h15 | Chambaz | Racine | Van Keilegom | Girardin | Dutta | Patrangenaru |
16h15-16h45 | Coffee break | |||||
16h45-17h45 | Plenary session: S. Van de Geer | |||||
17h45-18h45 | Invited session: A. Rahbeck | Invited session: W. Polonik | ||||
19h00 | GALA DINNER |
6 Thursday June 16
8h30-10h30 | C-S 1 | C-S-8 | C-S-2 | C-S-6 | C-S-7 | C-S-18 |
10h30-11h00 | Coffee break | |||||
11h00-13h00 | Delaigle | Song | Gautier | Magdalinos | Leskow | Chiaromonte |
13h00-14h15 | Lunch | |||||
14h15-15h15 | Plenary Session: S. Mallat | |||||
15h30-16h30 | ISNPS Council comitee meeting |
List of contributed sessions
- CS1 Econometrics (chair: Jean-Pierre Florens)
- CS2 Permutation/ Resampling and computer intensive method (chair: Patrice Bertail)
- CS3 Semiparametric statistics and lower bounds (chair: Valentin Patilea)
- CS4 High dimension/complex data (chair: Eric Matzner-Løber)
- CS5 Functional data (chair: Philippe Vieu)
- CS6 Regression models/model selection (chair: Mélanie Zetlaoui)
- CS7 Nonparametrics for dependent data (chair: Philippe Soulier)
- CS8 Locally stationary time series/Change point (chair: François Roueff)
- CS9 Nonparametric statistics (chair: Eric Matzner-Løber and Rachael Quill)
- CS10 Goodness of fit/ Rank tests (chair: Salim Bouzebda)
- CS11 Survival analysis/censored data (chair: Ingrid Van Keilegom)
- CS12 Classification and prediction (chair: Arnak Dalalyan)
- CS13 Sparsity/Lasso (chair: Pierre-André Cornillon)
- CS14 Density and intensity estimation (chair: Vincent Rivoirard)
- CS15 Adaptativity/Minimax (chair: Delphine Blanke)
- CS16 Testing (chair: Magalie Fromont Renoir)
- CS17 Bayesian statistics (chair: Edith Gabriel) I
- CS18 Long range/Signal (chair: Antoine Chambaz)
CS1 Econometrics (chair: Jean-Pierre Florens)
- Andrii Babii. Identification and estimation in the functional linear instrumental regression
- Eric Gautier. Random coefficients with bounded regressors
- Michal Pesta. Conditional least squares and copulae for panel data
- Joachim Schnurbus. Catching-up, leapfrogging, and falling-back in economic growth — A nonparametric approach
- Hyunsook Lee. Nonparametric Data Analysis for the Market Size Prediction to Estimate R&D benefits
- Henry Laniado. On a robust and nonparametric estimation of the covariance matrix in the portfolio selection problem
CS2 Permutation/ Resampling and computer intensive method (chair: Patrice Bertail)
- María Isabel Borrajo García. Bootstrapping kernel density estimators for length-biased data
- Jonas Krampe. Moving Average Sieve Bootstrap
- Ines Barbeito. Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data
- Fortunato Pesarin. Nonparametric Union-Intersection Approach in Multivariate Permutation Tests
- Kellie Ottoboni. permute: A Python Package for Randomization Inference
- Olivier Renaud. Comparison of permutation methods in presence of nuisance variables
CS3 Semiparametric statistics and lower bounds (chair: Valentin Patilea)
- Stefan Sperlich. Unhappy with semi-parametrics?
- Serguei Novak. Non-parametric lower bounds and information functions
- Adrien Saumard. Excess Risk Concentration in least-square regression with heteroscedastic noise.
- Miroslaw Pawlak. Nonparametric and Semiparametric Inference for Signal Symmetries
- Dimitrios Bagkavos. Semiparametric smooth estimation of the hazard rate estimation
CS4 High dimension/complex data (chair: Eric Matzner-Løber)
- Liang Zhang. A Scale-invariant L2-norm Based Two-sample Test for High-dimensional Data
- Thomas Gueuning. The focused information criterion for high-dimensional data
- Alice Carla Luisa Parodi. FLAME: a Functional Linear Adaptive Mixed Estimation for high dimensional functional-on-scalar regression
- Joni Virta. Independent component analysis for tensor-valued data
- Javier Tarrio Polymer. creep deformation estimates using a flexible approach based on Time/Temperature Superposition principle
- Keith Knight. Algorithmic leveraging and elemental estimation
CS5 Functional data (chair: Philippe Vieu)
- Nicholas Tarabelloni. A Robustly Adjusted Boxplot for Functional Data
- Dominik Liebl. Bandwidth Selection for Smoothing Sparse and Non-Sparse Functional Data with Covariate Adjustments
- Tianming Zhu. Probabilities of misclassification given by a L2-norm-based classifier for functional data
- Mohamed Cherfi. Estimating the Conditional Error Distribution in Non-parametric Regression for Functional Data and Applications
- Alessia Pini. A Non-Parametric Inferential Framework for Domain Selection in Functional Data Analysis
CS6 Regression models/model selection (chair: Mélanie Zetlaoui)
- Miroslav Siman. Advances in Quantile Regression for Vector Responses
- Xin Geng. Estimation of a Partially Linear Regression in Triangular Systems
- Mousa Golalizadeh. Nonparametric Regression to Model Shape Variability Using Spherical Coordinates
- Frank Eriksson. Asymptotic theory for frequentist multiple imputation for Cox regression with missing covariate data
- Ali Charkhi. Asymptotic AIC post-selection confidence intervals
- Adriano Zambom. Lag Selection and Model Validation in Nonparametric Autoregressive Conditional Heteroscedastic Models
CS7 Nonparametrics for dependent data (chair: Philippe Soulier)
- Irène Gannaz. Wavelet Whittle estimation in multivariate time series models
- Mélisande Albert. Separation rates for non-parametric independence tests based on wavelet decomposition and permutation
- Lars Arne Jordanger. Nonlinear spectral analysis via the local Gaussian correlation
- Poornima Unnikrishnan. On the selection of window length in Singular Spectrum Analysis of a time series
- Mohamed Chaouch. On Robbins-Monro type conditional variance estimation with functional ergodic data
- Clément Cerovecki. A note on the CLT for the discrete Fourier transforms of functional time series
CS8 Locally stationary time series/Change point (chair: François Roueff)
- Cristina Tone. A Central Limit Theorem for Non-stationary Strongly Mixing Random Fields
- Anne van Delft. Locally stationary functional time series
- Pilar Poncella. Automatic Signal Extraction for Stationary and Non-Stationary Time Series by Circulant SSA
- Michael Scholz. A local-polynomial Chow-type test
- Frederick Kin Hing Phoa. An Efficient Analysis of Change Points via Swarm Intelligence
CS9 Nonparametric statistics (chair: Eric Matzner-Løber and Rachael Quill)
- Rachael Quill. An Evaluation of Kolmogorov-Smirnov Style Statistics for Bivariate Circular Data
- Zbigniew Szkutnik. Asymptotic confidence bands in the Wicksell's problem
- Lars Bohlin. Analysing Rankings with the Sign Test, Using p-values Conditional on the Rank Order of the Sample
- Jan Kalina. On the locally most powerful sequential rank tests
- Fadoua Balabdaoui. Maximum likelihood estimation of a unimodal probability mass function
- Saddam Akber Abbasi. Nonparameteric EWMA Sign Control Chart with Estimated Parameters
CS10 Goodness of fit/ Rank tests (chair: Salim Bouzebda)
- Benjamin Colling. Goodness-of-fit tests in semiparametric transformation models using the integrated regression function
- Ronan Le Guével. Goodness-of-fit test for multistable Lévy processes
- Charl Pretorius. A Monte Carlo evaluation of the performance of two new tests for symmetry
- Salim Bouzebda. Strong approximations for a class of integrated empirical processes with applications to statistical tests
- Philippe Regnault. Generalized Mutual-Information based independence tests
CS11 Survival analysis/censored data (chair: Ingrid Van Keilegom)
- Angelina Roche. Nonparametric estimation of the hazard rate in a multiplicative censoring model
- Gwennaëlle Mabon. Adaptive deconvolution of survival function on the nonnegative real line
- Mickaël De Backer. Copula Quantile Regression with Censored Data
- Zohra Guessoum. Uniform Strong Convergence of the Distribution Function Estimator for Associated, Truncated and Censored data
CS12 Classification and prediction (chair: Arnak Dalalyan)
- Jan De Neve. Probabilistic Index Mixed Models for Clustered Data
- Jose Berrendero. New proposals for multidirectional supervised classification
- Miles Lopes. Measuring the Algorithmic Convergence of Random Forests via Bootstrap Extrapolation
- Jessica Gronsbell. Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
- Marta Avalos. A comparison of unsupervised curve classification methods for sport training data
- Thomas Kerdreux. Admissibility of k-nn type smoothers
CS13 Sparsity/Lasso (chair: Pierre-André Cornillon)
- Wojciech Rejchel. Asymptotic properties of U-processes with convex loss and weighted Lasso penalty
- Perrine Soret. Lasso-type estimators for non-parametric mixed-e ects models: application to high-dimensional data from a vaccine clinical trial for HIV
- Matus Maciak. Change-points and Shape Constrains in LASSO Regularized Nonparametric Regression
- Eugen Pircalabelu. Joint sparse graphical models for brain imaging data with different coarseness levels
- Thomas Porter. Higher Criticism - An Alternate Interpretation
CS14 Density and intensity estimation (chair: Vincent Rivoirard)
- Håkon Otneim. Estimating multivariate and conditional density functions using local Gaussian approximations
- Nathalie Akakpo. Multivariate intensity estimation via wavelet model selection
- Maria Dolores Martinez-Miranda. Scale and Space Inference of Nonhomogeneous Poisson Process Intensities
- Martin Kroll. Nonparametric estimation of the intensity function from indirect Poisson point process observations
- Shota Gugushvili. A non-parametric Bayesian approach to decompounding from high frequency data
- Vladimir Pastukhov. A stochastic process approach to multilayer neutron detectors
CS15 Adaptativity/Minimax (chair: Delphine Blanke)
- Jan Johannes. Adaptive Bayesian estimation in indirect Gaussian sequence space models
- Zoltan Szabo. Minimax-Optimal Distribution Regression
- Madison Giacofci. Minimax wavelet estimation for multisample heteroscedastic nonparametric regression
- Sabyasachi Chatterjee. Adaptive risk bounds in Unimodal Regression
- Leszek Plaskota. Minimax estimation of Holder functions; a complexity analysis
CS16 Testing (chair: Magalie Fromont Renoir)
- Arnold Janssen. Martingale approach for multiple testing and FDR control
- Martina Mincheva. Nonparametric hypothesis testing of the human microbiome using evolutionary trees
- Juan Carlos Pardo-Fernandez. Robust testing for superiority between two regression curves
- Ester Mariucci. Asymptotic equivalence for pure jump L evy processes with unknown Levy density and Gaussian white noise
CS17 Bayesian statistics (chair: Edith Gabriel) I
- Xueou Wang. Variational approximation using history matching in Horseshoe+ prior choice and outlier dectection in sparse signal regression
- Catia Scricciolo. Bayesian nonparametric inference for the quantile function
- Mai The Tien. Bayesian Matrix Completion under General Sampling Distribution
- Mingan Yang. Bayesian variable selection for mixed effect models with nonignorable dropout
- Yanyun Zhao. Alternatives for Ghosal-Ghosh-Vaart priors
- A. Gribinski. Nonparametric estimation of the basic reproductive function for SIR epidemic models
CS18 Long range/Signal (chair: Antoine Chambaz)
- Jan Beran. On testing for Hermite rank in Gaussian subordination series
- Pramita Bagchi. Inference for Monotone Functions Under Short and Long Range Dependence
- Germain Van Bever. Joint diagonalisation of scatter operators: Hilbertian Fourth Order Blind Identification and other applications
- Mikael Kuusela. Shape-constrained uncertainty quantification in unfolding elementary particle spectra at the Large Hadron Collider
- Sarah Friedrich. Permuting longitudinal data despite all the dependencies