Thibault Laurent, Paula Margaretic, and Christine Thomas-Agnan, “Generalizing Impact Computations for the Autoregressive Spatial Interaction Model”, Geographical Analysis, vol. 55, n. 4, October 2023, pp. 728–758.
Thibault Laurent, Christine Thomas-Agnan, and Anne Ruiz-Gazen, “Covariates impacts in spatial autoregressive models for compositional data”, Journal of Spatial Econometrics, vol. 4, n. 5, July 2023.
Anne Ruiz-Gazen, Christine Thomas-Agnan, Thibault Laurent, and Camille Mondon, “Detecting Outliers in Compositional Data Using Invariant Coordinate Selection”, in Robust and Multivariate Statistical Methods, Mengxi Yi, and Klaus Nordhausen (eds.), Springer, Cham, 2023.
Thibault Laurent, Paula Margaretic, and Christine Thomas-Agnan, “Neighbouring countries and bilateral remittances: a global study”, Spatial Economic Analysis, vol. 17, n. 4, June 2022, pp. 557–584.
Olivier de Mouzon, Thibault Laurent, Michel Le Breton, and Issofa Moyouwou, ““One Man One Vote”. Part 1: Electoral Justice in the U.S. Electoral College: Banzhaf and Shapley/Shubik versus May”, in Evaluating Voting Systems with Probability Models, Mostopha Diss, and Vincent Merlin (eds.), January 2021, Springer Verlag.
Thi-Huong-An Nguyen, Christine Thomas-Agnan, Thibault Laurent, and Anne Ruiz-Gazen, “A simultaneous spatial autoregressive model for compositional data”, Spatial Economic Analysis, vol. 16, n. 2, 2021, pp. 161–175.
Van Huyen Do, Anne Vanhems, and Thibault Laurent, “Guidelines on Areal Interpolation Methods”, in Advances in Contemporary Statistics and Econometrics, Abdelaati Daouia, and Anne Ruiz-Gazen (eds.), chapter 20, 2021, p. 385–408.
Thibault Laurent, and Paula Margaretic, “Predictions in Spatial Econometric Models: Application to Unemployment Data”, in Advances in Contemporary Statistics and Econometrics, Abdelaati Daouia, and Anne Ruiz-Gazen (eds.), chapter 21, 2021, p. 409–426.
Olivier de Mouzon, Thibault Laurent, and Michel Le Breton, ““One Man, One Vote” Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve A: Introduction and Measurement Tools”, in Advances in Contemporary Statistics and Econometrics, Abdelaati Daouia, and Anne Ruiz-Gazen (eds.), chapter 31, 2021, p. 615–631.
Olivier de Mouzon, Thibault Laurent, and Michel Le Breton, ““One Man, One Vote” Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve B: Applications”, in Advances in Contemporary Statistics and Econometrics, Abdelaati Daouia, and Anne Ruiz-Gazen (eds.), chapter 32, 2021, p. 633–652.
Christine Thomas-Agnan, Thibault Laurent, Anne Ruiz-Gazen, Thi-Huong-An Nguyen, Raja Chakir, and Anna Lungarska, “Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use”, in Advances in Compositional Data Analysis, Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, and Javier Palarea-Albaladejo (eds.), 2021.
T.H.A Nguyen, Anne Ruiz-Gazen, Christine Thomas-Agnan, and Thibault Laurent, “Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance”, Journal of Risk and Financial Management, vol. 12, n. 1, 2019.
Abdelaati Daouia, Thibault Laurent, and Hohsuk Noh, “npbr: A Package for Nonparametric Boundary Regression in R”, Journal of Statistical Software, vol. 79, n. 9, August 2017, pp. 1–43.
Michel Goulard, Thibault Laurent, and Christine Thomas-Agnan, “About predictions in spatial autoregressive models : Optimal and almost optimal strategies”, Spatial Economic Analysis, vol. 12, n. 2-3, April 2017, pp. 304–325.
Raja Chakir, Thibault Laurent, Anne Ruiz-Gazen, Christine Thomas-Agnan, and Céline Vignes, “Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles : Land use predictions on a regular grid at different scales and with easily accessible covariates”, Revue Économique, vol. 68, March 2017, pp. 435–469.
Raja Chakir, Thibault Laurent, Anne Ruiz-Gazen, Christine Thomas-Agnan, and Céline Vignes, “Spatial scale in land use models: application to the Teruti-Lucas survey”, Spatial Statistics, vol. 18, November 2016, pp. 246–262.
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