[PDF] Top 20 Statistical tests for group comparison of manifold-valued data
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Statistical tests for group comparison of manifold-valued data
... population of N = 20 tensors by sampling from a Wishart distribution 10 tensors around the reference tensor and 10 tensors around the deformed ...The statistical comparison will be tested in a ... Voir le document complet
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Learning spatiotemporal trajectories from manifold-valued longitudinal data
... framework of mixed-effects models seems to be well suited to deal with this hierarchical prob- ...models for longitudinal measurements were introduced in the seminal paper of Laird and Ware [15] and ... Voir le document complet
10
The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
... estimation of parameters and the statistical tests are critical issues in NLMEMs since the likelihood and the Fisher information ma- trix have no closed ...algorithm. For the Wald test and the ... Voir le document complet
30
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses.
... contrast of tasks is usually performed by replicating an experiment in a small group of subjects, and by assessing the presence of a statistically significant average ef- fect across subjects ... Voir le document complet
29
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
... Longitudinal data, which consists in repeated observations of a given individ- ual or group of individuals over time, allows to study the progression of a disease and the ... Voir le document complet
13
Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data
... the group and subjects level. Still, a statistical model of disease progression should take into account the fact that the age of a given individual is not an indicator of his stage ... Voir le document complet
13
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
... The data come from repeated observations of subjects at different time points which take the form of measure- ment maps distributed on a graph such as an image or a ...typical group-average ... Voir le document complet
9
Operator-valued Kernels for Learning from Functional Response Data
... with data in infinite-dimensional spaces, it does not appear to be commonplace for machine ...reason for this lack of success is that the formal use of infinite di- mensional spaces ... Voir le document complet
55
Statistical reasoning with set-valued information : Ontic vs. epistemic views
... emergence of Artificial Intelligence, but also in connection with more traditional human-centered research areas like Economics, Decision Analysis and Cognitive Psychology, the concern of reasoning about ... Voir le document complet
19
Statistical reasoning with set-valued information : Ontic vs. epistemic views
... views of engineering sciences aim at building a mathematical model of a real phenomenon, via a data set containing observations of the concerned ...abstraction of the reality it intends ... Voir le document complet
18
Model-free Two-sample Test for Network-Valued Data
... orem for the Frobenius-based Fr´ echet mean which allow them to naturally 105 extend classical asymptotic results from textbooks to network-valued data analysis, including k-sample null hypothesis ... Voir le document complet
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Methods and algorithms to learn spatio-temporal changes from longitudinal manifold-valued observations
... estimates of the ...maximum, of the posterior distribution q(θ | ...class of Monte Carlo Markov Chains (MCMC) algorithms which aim at learning the posterior distribution q(θ | ...number of ... Voir le document complet
200
Comparison of Flame-Spread Tests
... three tests which were compared were the SS-A-118a test previously referred to, and two tests which have not been used in the form described at laboratories other than Madison. Thus the [r] ... Voir le document complet
9
Divergence measures for statistical data processing
... characterization of maximum R´ enyi entropy distri- butions. In Proceedings of the IEEE International Symposium on Information Theory (ISIT’06), Seattle, Washington, USA, pages 1822–1826, July ...form ... Voir le document complet
24
χ 2 tests in the Riemannian manifold of negative binomial distributions: a geometrical approach. Application to ecological data
... on data from the ...distributions of insect pest (the corn borer Pyrausta nubilalis, for the connoisseurs) obtained from eld ...hills of corn were randomly selected into each plot and ... Voir le document complet
31
Directions for new developments on statistical design and analysis of small population group trials
... development for small population groups should take into account the EMA/ CHMP guideline [10] together with a recently published reflection paper on extrapolation of efficacy and safety in medicine ... Voir le document complet
11
An integrative approach based on probabilistic modelling and statistical inference for morpho-statistical characterization of astronomical data
... capacities of modelling and analysis of the probability and statistics based ...point of these methodolo- gies is that they come automatically with a free ...density of the model used to ... Voir le document complet
13
Significance tests and statistical inequalities for segmentation by region growing on graph
... contribution for each of these two points. Firstly, under statistical hypothesis of similarity, we provide an improved decision rule for region merging based on significance tests ... Voir le document complet
9
Site-specific soil classification from cone penetration tests and borehole data: a multivariate statistical analysis
... kinds of uncertainty, including spatial variability in aquifer and aquitard ...assessment for waste disposal sites or sites contaminated by point sources, or to develop cost‐effective groundwater ... Voir le document complet
2
A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle
... assumption of systems epidemiology [1] is that func- tional aspects of the human carcinogenic process can be detected in the blood as gene expression patterns before cancer diagnosis, either as active ... Voir le document complet
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