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- Christine Thomas-Agnan
- Numerical Algorithms
- 1996

For an open subset Ω of ℝ, an integer,m, and a positive real parameter τ, the Sobolev spacesH m (Ω) equipped with the norms: ∥u∥2=∫u(t)2dt+(1/τ2m ∫u (m)(t)2 constitute a family of reproducing kernel Hilbert spaces. When Ω is an open interval of the real line, we describe the computation of their reproducing kernels. We derive explicit formulas for these… (More)

We present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use data bases coming from the spdep package to illustrate the use of these exploratory techniques based on the coupling between a statistical graph and a map. Besides elementary plots like boxplots, histograms or simple scatterplots, GeoXp also… (More)

- Eve Leconte, Sandrine Poiraud-Casanova, Christine Thomas-Agnan
- Lifetime data analysis
- 2002

We consider a nonparametric random design regression model in which the response variable is possibly right censored. The aim of this paper is to estimate the conditional distribution function and the conditional alpha-quantile of the response variable. We restrict attention to the case where the response variable as well as the explanatory variable are… (More)

- Anne Vanhems, Jean-Pierre Florens, Richard W. Blundell, Éric Renault, Christine Thomas-Agnan
- 2005

The solution of differential equations lies at the heart of many problems in structural economics. In econometrics the general nonparametric analysis of consumer welfare is historically the most obvious application, but there are also many in finance and other fields. This work considers the general nonparametric form for these problems and identification… (More)

- Christine Thomas-Agnan
- SIAM J. Scientific Computing
- 1990

We address the problem of prediction in the classical spatial autoregressive LAG model for areal data. In contrast with the spatial econometrics literature, the geostatistical literature has devoted much attention to prediction using the Best Linear Unbiased Prediction approach. From the methodological point of view, we explore the limits of the extension… (More)

The question of measuring and testing industrial spatial concentration based on microgeographic data with distance based methods has been addressed by Arbia (1996), Espa et al.(2010), Duranton-Overman (2005) and Marcon-Puech (2010). We discuss the basic requirements for such measures introduced by Duranton and Overman (2005) and we propose four additional… (More)

Abstract The Mahalanobis distance between pairs of multivariate observations is used as a measure of similarity between the observations. The theoretical distribution is derived, and the result is used for judging on the degree of isolation of an observation. In case of spatially dependent data where spatial coordinates are available, different exploratory… (More)

- Florent Bonneu, Christine Thomas-Agnan
- Computational Statistics & Data Analysis
- 2009

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