Semiparametric topographical mixture models with symmetric errors

Motivated by the analysis of a Positron Emission Tomography (PET) imaging data considered in Bowen et al. (2012), we introduce a semiparametric topographical mixture model able to capture the characteristics of dichotomous shifted response-type experiments. We propose a local estimation procedure, based on the symmetry of the local noise, for the proportion and locations functions involved in the proposed model. We establish under mild conditions the minimax properties and asymptotic normality of our estimators when Monte Carlo simulations are conducted to examine their finite sample performance. Finally a statistical analysis of the PET imaging data in Bowen et al. (2012) is illustrated for the proposed method.

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Source https://hal.science/hal-00912964
Author Butucea, Cristina, Nguyep, Rodrigue, Vandekerkhove, Pierre
Maintainer CCSD
Last Updated May 7, 2026, 02:15 (UTC)
Created May 7, 2026, 02:15 (UTC)
Identifier hal-00912964
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA) ; Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout (BEZOUT) ; Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
creator Butucea, Cristina
date 2013-12-03T00:00:00
harvest_object_id 57f7fb71-c098-4b86-862c-593cf2a8e021
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-17T00:00:00
set_spec type:UNDEFINED