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Publications associées (12)

DESI mock challenge Halo and galaxy catalogues with the bias assignment method

Context. We present a novel approach to the construction of mock galaxy catalogues for large-scale structure analysis based on the distribution of dark matter halos obtained with effective bias models at the field level. Aims. We aim to produce mock galaxy ...

EDP SCIENCES S A2023

High spatial resolution dataset of La Mobiliere insurance customers

Claudia Rebeca Binder Signer, Emanuele Massaro

We present the La Mobiliere insurance customers dataset: a 12-year-long longitudinal collection of data on policies of customers of the Swiss insurance company La Mobiliere. To preserve the privacy of La Mobiliere customers, we propose the data aggregated ...

NATURE PORTFOLIO2022

Angular systematics-free cosmological analysis of galaxy clustering in configuration space

Cheng Zhao, Anand Stéphane Raichoor

Galaxy redshift surveys are subject to incompleteness and inhomogeneous sampling due to the various constraints inherent to spectroscopic observations. This can introduce systematic errors on the summary statistics of interest, which need to be mitigated i ...

OXFORD UNIV PRESS2022

A toolkit for multi-scale mapping of the solar energy-generation potential of buildings in urban environments under uncertainty

Marilyne Andersen, Emmanuel Rey, Giuseppe Peronato, Parag Rastogi

Many municipalities and public authorities have supported the creation of solar cadastres to map the solar energy-generation potential of existing buildings. Despite advancements in modelling solar potential, most of these tools provide simple evaluations ...

2018

Approximate maximum likelihood estimation for population genetic inference

Gregory Bruce Ewing

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. Howev ...

De Gruyter2017

Meta-analysis of incomplete microarray studies

Anthony Christopher Davison, Darlene Goldstein, Alix Corinne Josiane Colette Zollinger

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, for example, having only a ranked list of genes instead of complete primary data, it is ...

Oxford University Press2015

Function Computation over Networks : Efficient Information Processing for Cache and Sensor Applications

Chien-Yi Wang

This thesis looks at efficient information processing for two network applications: content delivery with caching and collecting summary statistics in wireless sensor networks. Both applications are studied under the same paradigm: function computation ove ...

EPFL2015

Statistical methods for comparing brain connectomes at different scales

Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, Djalel Eddine Meskaldji

Physiological Brain connectivity and spontaneous interaction between regions of interest of the brain can be represented by a matrix (full or sparse) or equivalently by a complex network called connectome. This representation of brain connectivity is adopt ...

SPIE-Int Soc Optical Engineering2015

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

Meta-analysis of Incomplete Microarray Studies

Alix Corinne Josiane Colette Zollinger

Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, providing only a ranked list of genes, for example, it is common to reduce all studies t ...

EPFL2014

Adaptive Strategy for the Statistical Analysis of Connectomes

Jean-Philippe Thiran, Stephan Morgenthaler, Djalel Eddine Meskaldji, Reto Meuli, Patric Hagmann, Leila Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

André-Gilles Dumont, Ashish Bhaskar, Edward Chung

This article presents a methodology that integrates cumulative plots with probe vehicle data for estimation of travel time statistics (average, quartile) on urban networks. The integration reduces relative deviation among the cumulative plots so that the c ...

2011