Publications related to Two step multiple comparisons procedures for positively dependent data with application to detecting differences in human brain network topologies

Social Learning with Disparate Hypotheses

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents. In this setup, each agent receives data that might be generated from a different hypothesis (or state) than the data other agents receive. In c ...

IEEE2022

Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Tom Hilbert, Sébastien Bacher

Objectives To determine and compare the qualitative and quantitative diagnostic performance of a single sagittal fast spin echo (FSE) T2-weighted Dixon sequence in differentiating benign and malignant vertebral compression fractures (VCF), using multiple r ...

SPRINGER2021

Learning and Adaptive Data Analysis via Maximal Leakage

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

There has been growing interest in studying connections between generalization error of learning algorithms and information measures. In this work, we generalize a result that employs the maximal leakage, a measure of leakage of information, and explore ho ...

IEEE2019

Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T

Tobias Kober

Cerebrospinal fluid (CSF) and white matter (WM) signal suppression techniques allow better visualization of both WM and gray matter (GM) lesions in such disorders as multiple sclerosis and epilepsy. Recently, a technique, FLuid And White matter Suppression ...

ELSEVIER IRELAND LTD2019

Validation of probabilistic classifiers

Michel Bierlaire, Timothy Michael Hillel

Non-parametric probabilistic classification models are increasingly being investigated as an alternative to Discrete Choice Models (DCMs), e.g. for predicting mode choice. There exist many strategies within the literature for model selection between DCMs, ...

2018

The detection of two-component mixture alternatives

Daria Rukina

In this thesis, we deal with one of the facets of the statistical detection problem. We study a particular type of alternative, the mixture model. We consider testing where the null hypothesis corresponds to the absence of a signal, represented by some kno ...

EPFL2018

Decreased integration and information capacity in stroke measured by whole brain models of resting state activity

Alessandra Griffa, Patric Hagmann

While several studies have shown that focal lesions affect the communication between structurally normal regions of the brain, and that these changes may correlate with behavioural deficits, their impact on brain's information processing capacity is curren ...

Oxford Univ Press2017

Multiple comparisons procedures for complex dependent data with application to study human brain complex network properties

Djalel Eddine Meskaldji

We consider the problem of testing positively dependent multiple hypotheses, assuming that prior information about the dependence structure is available. We propose two-step multiple comparisons procedures that exploit the prior information of the dependen ...

2015

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, David Paul Roger Romascano, Patric Hagmann, Djalel Eddine Meskaldji

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase ...

Elsevier2015

Two step multiple comparisons procedures for positively dependent data with application to detecting differences in human brain network topologies

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Social Learning with Disparate Hypotheses

Multiple testing with test statistics following heavy-tailed distributions

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Learning and Adaptive Data Analysis via Maximal Leakage

Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T

Validation of probabilistic classifiers

The detection of two-component mixture alternatives

Decreased integration and information capacity in stroke measured by whole brain models of resting state activity

Multiple comparisons procedures for complex dependent data with application to study human brain complex network properties

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Social Learning with Disparate Hypotheses

Validation of probabilistic classifiers

The detection of two-component mixture alternatives

Multiple comparisons procedures for complex dependent data with application to study human brain complex network properties

Multiple testing with test statistics following heavy-tailed distributions

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Learning and Adaptive Data Analysis via Maximal Leakage

Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Decreased integration and information capacity in stroke measured by whole brain models of resting state activity