Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Ouadah, Sarah"'
Autor:
Metodiev, Martin, Perrot-Dockès, Marie, Ouadah, Sarah, Irons, Nicholas J., Raftery, Adrian E.
We propose an easily computed estimator of marginal likelihoods from posterior simulation output, via reciprocal importance sampling, combining earlier proposals of DiCiccio et al (1997) and Robert and Wraith (2009). This involves only the unnormaliz
Externí odkaz:
http://arxiv.org/abs/2305.08952
In this work, we consider an estimation method in sparse Poisson models inspired by [1] and provide novel sign consistency results under mild conditions.
Externí odkaz:
http://arxiv.org/abs/2303.14020
In this paper, we propose a novel and efficient two-stage variable selection approach for sparse GLARMA models, which are pervasive for modeling discrete-valued time series. Our approach consists in iteratively combining the estimation of the autoreg
Externí odkaz:
http://arxiv.org/abs/2208.14168
Autor:
Christensen, Matthew A., Stubblefield, William B., Wang, Grace, Altheimer, Alyssa, Ouadah, Sarah J., Birrenkott, Drew A., Peters, Gregory A., Prucnal, Christiana, Harshbarger, Savanah, Chang, Kyle, Storrow, Alan B., Ward, Michael J., Collins, Sean P., Kabrhel, Christopher, Wrenn, Jesse O.
Publikováno v:
In Thrombosis Research September 2024 241
Bipartite networks are a natural representation of the interactions between entities from two different types. The organization (or topology) of such networks gives insight to understand the systems they describe as a whole. Here, we rely on motifs w
Externí odkaz:
http://arxiv.org/abs/2101.11381
Autor:
Porcuna-Ferrer, Anna, Labeyrie, Vanesse, Alvarez-Fernandez, Santiago, Calvet-Mir, Laura, Faye, Ndèye Fatou, Ouadah, Sarah, Reyes-García, Victoria
Publikováno v:
In Agricultural Systems October 2023 211
In this paper, we propose a novel variable selection approach in the framework of sparse high-dimensional GLARMA models. It consists in combining the estimation of the autoregressive moving average (ARMA) coefficients of these models with regularized
Externí odkaz:
http://arxiv.org/abs/1907.07085
Akademický článek
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We propose a novel nonparametric approach for estimating the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of random variables having their distribution changing from one block to t
Externí odkaz:
http://arxiv.org/abs/1605.03751
Autor:
Ouadah, Sarah
Nous nous intéressons dans cette thèse à l'estimation non paramétrique de la densité à partir d'un échantillon aléatoire. Nous établissons des propriétés limites d'estimateurs de densité en les déduisant de lois limites fonctionnelles po
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00766805
http://tel.archives-ouvertes.fr/docs/00/76/68/05/PDF/these_ouadah.pdf
http://tel.archives-ouvertes.fr/docs/00/76/68/05/PDF/these_ouadah.pdf