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20022013
most citedInferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation

688 citations

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10 papers · 1 filter

math.ST20138 cited

Non parametric finite translation mixtures with dependent regime

Elisabeth Gassiat, Judith Rousseau

In this paper we consider non parametric finite translation mixtures. We prove that all the parameters of the model are identifiable as soon as the matrix that defines the joint di…

math.ST201310 cited

Stein COnsistent Risk Estimator (SCORE) for hard thresholding

Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili

In this work, we construct a risk estimator for hard thresholding which can be used as a basis to solve the difficult task of automatically selecting the threshold. As hard thresho…

math.ST2012

Prediction of time series by statistical learning: general losses and fast rates

Pierre Alquier, Xiaoyin Li, Olivier Wintenberger

We establish rates of convergences in time series forecasting using the statistical learning approach based on oracle inequalities. A series of papers extends the oracle inequaliti…

math.ST201275 cited

Continuous invertibility and stable QML estimation of the EGARCH(1,1) model

Olivier Wintenberger

We introduce the notion of continuous invertibility on a compact set for volatility models driven by a Stochastic Recurrence Equation (SRE). We prove the strong consistency of the…

math.ST2012

GARCH models without positivity constraints: Exponential or Log GARCH?

Christian Francq, Olivier Wintenberger, Jean-Michel Zakoïan

This paper provides a probabilistic and statistical comparison of the log-GARCH and EGARCH models, which both rely on multiplicative volatility dynamics without positivity constrai…

math.ST2012

Nonparametric estimation of a renewal reward process from discrete data

Celine Duval

We study the nonparametric estimation of the jump density of a renewal reward process from one discretely observed sample path over [0,T]. We consider the regime when the sampling…