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pro vyhledávání: '"Chakraborty, Soumya"'
Robust estimation under multivariate normal (MVN) mixture model is always a computational challenge. A recently proposed maximum pseudo \b{eta}-likelihood estimator aims to estimate the unknown parameters of a MVN mixture model in the spirit of minim
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96cc286aa96ce4397658df4cf1cbed61
As in other estimation scenarios, likelihood based estimation in the normal mixture set-up is highly non-robust against model misspecification and presence of outliers (apart from being an ill-posed optimization problem). We propose a robust alternat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd9676d2b956b1d107880d6ec4f834ee