activity
20162026
most citedSpatial Spread Sampling Using Weakly Associated Vectors

16 citations · 31 across the 9 of their papers we have counts for

collaborators

10 papers

stat.ME2026

In Search of the Most Balanced Sampling Design

Caren Hasler, Esther Eustache, Yves Tillé

Balanced sampling aims to select random samples in which the estimated totals of the auxiliary variables, weighted by the inverse of the inclusion probabilities, correspond as clos…

stat.ME2025

Randomized Principal Component Ensembles for High-Dimensional Calibration

Caren Hasler, Arnaud Tripet, Yves Tillé

Calibration is a widely used method in survey sampling to adjust weights so that estimated totals of some chosen calibration variables match known population totals or totals obtai…

stat.ME2021★ 6 cited

Sequential Spatially Balanced Sampling

Raphaël Jauslin, Bardia Panahbehagh, Yves Tillé

Sequential sampling occurs when the entire population is not known in advance and data are obtained one at a time or in groups of units. This manuscript proposes a new algorithm to…

stat.ME2021

Sequential Unequal Probability Sampling For Stream Population

Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé

A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A va…

stat.ME2021★ 2 cited

An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling

Raphaël Jauslin, Yves Tillé

Statistical matching aims to integrate two statistical sources. These sources can be two samples or a sample and the entire population. If two samples have been selected from the s…

stat.ME2021★ 6 cited

Enhanced Cube Implementation For Highly Stratified Population

Raphaël Jauslin, Esther Eustache, Yves Tillé

A balanced sampling design should always be the adopted strategies if auxiliary information is available. Besides, integrating a stratified structure of the population in the sampl…

stat.ME2019★ 16 cited

Spatial Spread Sampling Using Weakly Associated Vectors

Raphaël Jauslin, Yves Tillé

Geographical data are generally autocorrelated. In this case, it is preferable to select spread units. In this paper, we propose a new method for selecting well-spread samples from…

stat.ME2017

Measuring the spatial balance of a sample: A new measure based on the Moran's I index

Yves Tillé, Maria Michela Dickson, Giuseppe Espa +1

Measuring the degree of spatial spreading of a sample can be of great interest when sampling from a spatial population. The commonly used spatial balance index by Grafström et al.…

stat.ME2017

Sampling Designs on Finite Populations with Spreading Control Parameters

Yves Tillé, Lionel Qualité, Matthieu Wilhelm

We present new sampling methods in finite population that allow to control the joint inclusion probabilities of units and especially the spreading of sampled units in the populatio…

stat.ME2016★ 1 cited

Probability Sampling Designs: Principles for Choice of Design and Balancing

Yves Tillé, Matthieu Wilhelm

The aim of this paper is twofold. First, three theoretical principles are formalized: randomization, overrepresentation and restriction. We develop these principles and give a rati…