Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Ginestet, Cedric E"'
Causal mediation analysis aims to estimate the natural direct and indirect effects under clearly specified assumptions. Traditional mediation analysis based on Ordinary Least Squares (OLS) relies on the absence of unmeasured causes of the putative me
Externí odkaz:
http://arxiv.org/abs/1707.01723
In the presence of confounders, the ordinary least squares (OLS) estimator is known to be biased. This problem can be remedied by using the two-stage least squares (TSLS) estimator, based on the availability of valid instrumental variables (IVs). Thi
Externí odkaz:
http://arxiv.org/abs/1504.03381
Autor:
Hindley, Guy, Beck, Katherine, Borgan, Faith, Ginestet, Cedric E, McCutcheon, Robert, Kleinloog, Daniel, Ganesh, Suhas, Radhakrishnan, Rajiv, D'Souza, Deepak Cyril, Howes, Oliver D *
Publikováno v:
In The Lancet Psychiatry April 2020 7(4):344-353
In recent years, it has become common practice in neuroscience to use networks to summarize relational information in a set of measurements, typically assumed to be reflective of either functional or structural relationships between regions of intere
Externí odkaz:
http://arxiv.org/abs/1407.5525
Publikováno v:
Phys. Rev. E 93, 052301 (2016)
We consider the problem of distinguishing classical (Erd\H{o}s-R\'{e}nyi) percolation from explosive (Achlioptas) percolation, under noise. A statistical model of percolation is constructed allowing for the birth and death of edges as well as the pre
Externí odkaz:
http://arxiv.org/abs/1401.3518
Comparing weighted networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges of that network. This problem arises in the analysis of both weighted and unweighted networks.
Externí odkaz:
http://arxiv.org/abs/1308.2577
Autor:
Fournel, Arnaud P., Reynaud, Emanuelle, Brammer, Michael J., Simmons, Andrew, Ginestet, Cedric E.
Studies of functional MRI data are increasingly concerned with the estimation of differences in spatio-temporal networks across groups of subjects or experimental conditions. Unsupervised clustering and independent component analysis (ICA) have been
Externí odkaz:
http://arxiv.org/abs/1205.6158
Autor:
Ginestet, Cedric E.
The Frechet mean or barycenter generalizes the idea of averaging in spaces where pairwise addition is not well-defined. In general metric spaces, the Frechet sample mean is not a consistent estimator of the theoretical Frechet mean. For graph-valued
Externí odkaz:
http://arxiv.org/abs/1204.3183
In this short note, we study the properties of the weighted Frechet mean as a convex combination operator on an arbitrary metric space, (Y,d). We show that this binary operator is commutative, non-associative, idempotent, invariant to multiplication
Externí odkaz:
http://arxiv.org/abs/1204.2194