Talk (.pdf):

31st European Meeting of Statisticians in Helsinki, Finland

Presented by:

Xavier Loizeau

Title:

Optimal aggregation in circular deconvolution by a frequentist Bayesian approach

Abstract: :

References:

Comte, F., Johannes, J. and Loizeau, X. (2018). Data-driven aggregated circular deconvolution with unknown error distribution. Discussion paper in preparation, Heidelberg University

Johannes, J. (2018). Adaptive aggregated Gaussian inverse regression with partially known operator. Discussion paper in preparation, Heidelberg University

Johannes, J. and Schwarz, M. (2013). Adaptive Gaussian inverse regression with partially unknown operator. Communications in Statistics - Theory and Methods, 42(7):1343-1362.

Johannes, J. and Schwarz, (2013). Adaptive circular deconvolution by model selection under unknown error distribution. Bernoulli, 19(5A):1576-1611.

Johannes, J., Simoni, A. and Schenk, R. (2015). Adaptive Bayesian estimation in indirect Gaussian sequence space models. Discussion paper, arXiv:1502.00184.