Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Marbac"'
Autor:
Odin, Roger, Marbach, Ségolène
"Semio-pragmatics, an approach to the study of film and audiovisual media first proposed by Roger Odin in the early 1980s, shifted the focus from textual analysis to the interaction of text and context and to the institutional modes of framing and re
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/51636
Autor:
Marback, Roberta Ferrari
O estudo teve como objetivos verificar em dois grupos de pacientes com visão monocular (grupo 1) e com visão binocular (grupo 2), a serem submetidos à cirurgia de catarata no Hospital das Clínicas da Faculdade de Medicina da Universidade de São
Investigating technical skills of swimmers is a challenge for performance improvement, that can be achieved by analyzing multivariate functional data recorded by Inertial Measurement Units (IMU). To investigate technical levels of front-crawl swimmer
Externí odkaz:
http://arxiv.org/abs/2303.15812
We are interested in assessing the order of a finite-state Hidden Markov Model (HMM) with the only two assumptions that the transition matrix of the latent Markov chain has full rank and that the density functions of the emission distributions are li
Externí odkaz:
http://arxiv.org/abs/2210.03559
Autor:
Sportisse, Aude, Marbac, Matthieu, Laporte, Fabien, Celeux, Gilles, Boyer, Claire, Josse, Julie, Biernacki, Christophe
Model-based unsupervised learning, as any learning task, stalls as soon as missing data occurs. This is even more true when the missing data are informative, or said missing not at random (MNAR). In this paper, we propose model-based clustering algor
Externí odkaz:
http://arxiv.org/abs/2112.10425
This paper addresses the problem of full model estimation for non-parametric finite mixture models. It presents an approach for selecting the number of components and the subset of discriminative variables (i.e., the subset of variables having differ
Externí odkaz:
http://arxiv.org/abs/2112.05684
We investigate the parameter estimation of regression models with fixed group effects, when the group variable is missing while group related variables are available. This problem involves clustering to infer the missing group variable based on the g
Externí odkaz:
http://arxiv.org/abs/2012.14159
Publikováno v:
Journal of the Royal Statistical Society, Series C, 2023
The COVID-19 pandemic has taken the world by storm with its high infection rate. Investigating its geographical disparities has paramount interest in order to gauge its relationships with political decisions, economic indicators, or mental health. Th
Externí odkaz:
http://arxiv.org/abs/2012.10629
We have developed two scan statistics for detecting clusters of functional data indexed in space. The first method is based on an adaptation of a functional analysis of variance and the second one is based on a distribution-free spatial scan statisti
Externí odkaz:
http://arxiv.org/abs/2011.03482
We are concerned in clustering continuous data sets subject to non-ignorable missingness. We perform clustering with a specific semi-parametric mixture, under the assumption of conditional independence given the component. The mixture model isused fo
Externí odkaz:
http://arxiv.org/abs/2009.07662