-
Estimating a discrete distribution histogram selection
International audience -
A simplified model for studying bivariate mortality under right-censoring
In this paper, we provide a nonparametric estimator of the distribution of bivariate censored lifetimes, in a model where the two censoring variables differ only... -
An Affine Invariant $k$-Nearest Neighbor Regression Estimate
We design a data-dependent metric in $\mathbb R^d$ and use it to define the $k$-nearest neighbors of a given point. Our metric is invariant under all affine... -
A note on the conditional density estimate in single functional index model
International audience -
Inference in hidden Markov models and particle approximations. Application to...
This thesis is dedicated to inference problems in hidden Markov models. The first part is devoted to an online maximum likelihood estimation procedure which does not... -
Statistical inference across time scales
This thesis studies the problem of statistical inference across time scales for a stochastic process. More particularly we study how the choice of the sampling... -
Semi-parametric estimation of the hazard function in a model with covariate m...
We consider a model where the failure hazard function, conditional on a covariate $Z$ is given by $R(t,\theta^0|Z)=\eta_{\gamma^0}(t)f_{\beta^0}(Z)$, with... -
Contributions to the indoor localisation. From the modelization to the theore...
Foreshadowing the next big step in the field of navigation, indoor geolocation has been a very active field of research in the last few years. While geolocation... -
Nonparametric copula estimation under bivariate censoring
In this paper, we consider nonparametric copula inference under bivariate censoring. Based on an estimator of the joint cumulative distribution function, we define a... -
Functional nonparametric estimation of conditional extreme quantiles
Special Issue: Statistical Methods and Problems in Infinite-dimensional Spaces - 1st International Workshop on Functional and Operatorial Statistics (IWFOS'2008) -
Landmark-Based Registration of Curves via the Continuous Wavelet Transform
International audience -
New insights into Approximate Bayesian Computation
International audience -
Cellular Tree Classifiers
The cellular tree classifier model addresses a fundamental problem in the design of classifiers for a parallel or distributed computing world: Given a data set, is it... -
Nonparametric estimation for piecewise-deterministic Markov processes
Piecewise-deterministic Markov processes (PDMP’s) have been introduced by M.H.A. Davis as a general family of non-diffusion stochastic models, involving deterministic... -
Piecewise deterministic Markov process - recent results
Clermont-Ferrand, France, 29-31 August 2012 -
On the semiparametric robust estimation in functional statistic
In this thesis, we propose to study some functional parameters when the data are generated from a model of regression to a single index. We study two functional... -
Regularizing Priors for Linear Inverse Problems
This paper proposes a new Bayesian approach for estimating, nonparametrically, functional parameters in econometric models that are characterized as the solution of a... -
On the mutual nearest neighbors estimate in regression
International audience -
Nonlinearities in Productivity Growth: A Semi-parametric Panel Analysis
We use country panel data spanning over 1998-2008 for both developed and developing countries to study the productivity growth when countries are close to the... -
Adaptive warped kernel estimators
International audience
