Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dario, Gasbarra"'
Autor:
Magdoom, Kulam Najmudeen, Avram, Alexandru V., Sarlls, Joelle E., Dario, Gasbarra, Basser, Peter J.
Publikováno v:
In NeuroImage 1 May 2023 271
Autor:
Elja Arjas, Dario Gasbarra
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-18 (2022)
Abstract Background Adaptive designs offer added flexibility in the execution of clinical trials, including the possibilities of allocating more patients to the treatments that turned out more successful, and early stopping due to either declared suc
Externí odkaz:
https://doaj.org/article/e3fa25f1200f48d6a404806981fd02b1
Autor:
Kulam Najmudeen Magdoom, Michal E. Komlosh, Kadharbatcha Saleem, Dario Gasbarra, Peter J. Basser
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Neural tissue microstructure plays a key role in developmental, physiological and pathophysiological processes. In the continuing quest to characterize it at ever finer length scales, we use a novel diffusion tensor distribution (DTD) paradigm to pro
Externí odkaz:
https://doaj.org/article/77353ef096b546a89ab3c78c771e64bc
Autor:
Dario Gasbarra
Publikováno v:
Scandinavian Journal of Statistics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880352e49b295316b601e0a5d4baf359
https://doi.org/10.1111/sjos.12649
https://doi.org/10.1111/sjos.12649
Publikováno v:
Image Analysis and Stereology, Vol 33, Iss 2, Pp 147-155 (2014)
A novel estimator for estimating the mean length of fibres is proposed for censored data observed in square shaped windows. Instead of observing the fibre lengths, we observe the ratio between the intensity estimates of minus-sampling and plus-sampli
Externí odkaz:
https://doaj.org/article/9c967cae14f84b10b9c65479d388add4
Akademický článek
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Autor:
Ehsan Azmoodeh, Dario Gasbarra
Consider a generic random element $F_\infty= \sum_{\text{finite}} \lambda_k (N^2_k -1)$ in the second Wiener chaos with a finite number of non-zero coefficients in the spectral representation where $(N_k)_{k \ge 1}$ is a sequence of i.i.d $\mathscr{N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::179405e3dd0ec1794976bdf541812b0f
http://hdl.handle.net/10138/307997
http://hdl.handle.net/10138/307997
The first essential ingredient to build up Stein's method for a continuous target distribution is to identify a so-called \textit{Stein operator}, namely a linear differential operator with polynomial coefficients. In this paper, we introduce the not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a9dd02d436f07a875625c33f5680dd5
The article studies different methods for estimating the Viterbi path in the Bayesian framework. The Viterbi path is an estimate of the underlying state path in hidden Markov models (HMMs), which has a maximum joint posterior probability. Hence it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a23eea90529fa3fcba60b5076bbd603
http://arxiv.org/abs/1802.01630
http://arxiv.org/abs/1802.01630
Tensor-valued and matrix-valued measurements of different physical properties are increasingly available in material sciences and medical imaging applications. The eigenvalues and eigenvectors of such multivariate data provide novel and unique inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5332c735650a401bb9e27670fb474bf
http://arxiv.org/abs/1707.06953
http://arxiv.org/abs/1707.06953