A mollifier approach to the deconvolution of probability densities
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- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2024. "A Mollifier Approach To The Deconvolution Of Probability Densities," Econometric Theory, Cambridge University Press, vol. 40(2), pages 320-359, April.
- Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2018. "A mollifier approach to the deconvolution of probability densities," TSE Working Papers 18-965, Toulouse School of Economics (TSE).
- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2022. "A mollifier approach to the deconvolution of probability densities," LIDAM Reprints ISBA 2022041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2022. "A mollifier approach to the deconvolution of probability densities," LIDAM Discussion Papers ISBA 2022011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
References listed on IDEAS
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- Carrasco, Marine & Florens, Jean-Pierre & Renault, Eric, 2007. "Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 77, Elsevier.
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- Aurore Delaigle & Peter Hall, 2016. "Methodology for non-parametric deconvolution when the error distribution is unknown," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 231-252, January.
- Kerkyacharian, Gérard & Picard, Dominique, 1993. "Density estimation by kernel and wavelets methods: Optimality of Besov spaces," Statistics & Probability Letters, Elsevier, vol. 18(4), pages 327-336, November.
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