- Data Mining Algorithms and Applications
- Bayesian Modeling and Causal Inference
- Rough Sets and Fuzzy Logic
- Sensory Analysis and Statistical Methods
- Data Management and Algorithms
- Aging, Elder Care, and Social Issues
- Data Analysis with R
- Advanced Statistical Methods and Models
- Social Policies and Family
- demographic modeling and climate adaptation
- Time Series Analysis and Forecasting
- Migration, Aging, and Tourism Studies
- Historical Studies and Socio-cultural Analysis
- Imbalanced Data Classification Techniques
- Agriculture and Rural Development Research
- French Urban and Social Studies
- Statistical Methods and Inference
- Machine Learning and Data Classification
- Wine Industry and Tourism
- Bayesian Methods and Mixture Models
- Multi-Criteria Decision Making
- Employment and Welfare Studies
- Intergenerational Family Dynamics and Caregiving
- Natural Language Processing Techniques
- Rural development and sustainability
University of Geneva
2012-2024
University of Turku
2024
National University of Ireland, Maynooth
2024
University of Eastern Finland
2024
NCCR Chemical Biology - Visualisation and Control of Biological Processes Using Chemistry
2012-2018
FORS – Swiss Centre of Expertise in the Social Sciences
2017
Université Lumière Lyon 2
2007
Université Claude Bernard Lyon 1
2007
Institut des Sciences Humaines et Sociales
2001
École des hautes études en sciences sociales
2001
This article describes the many capabilities offered by <strong>TraMineR</strong> toolbox for categorical sequence data. It focuses more specifically on analysis and rendering of state sequences. Addressed features include description sets sequences means transversal aggregated views, computation longitudinal characteristics individual measure pairwise dissimilarities. Special emphasis is put multiple ways visualizing The core element package se- quence object in which we store set together...
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on progress sequence analysis (SA) since its introduction into social sciences four decades ago, with focuses developments SA thus far in and potential future directions. The application sciences, especially life course research, has mushroomed last decade a half. Using analogy, we examined birth childhood (the first wave), adolescence young adulthood second mature paper. paper provides summary (1)...
In this article, the authors define a methodological framework for analyzing relationship between state sequences and covariates. Inspired by principles of analysis variance, approach looks at how covariates explain discrepancy sequences. The use pairwise dissimilarities to determine discrepancy, which makes it possible develop series statistical significance–based tools. They introduce generalized simple multifactor discrepancy-based methods test differences groups, pseudo- R 2 measuring...
This study reviews and compares indicators that can serve to characterize numerically the nature of state sequences. It also introduces several new indicators. Alongside basic measures such as length, number visited distinct states, changes, we shall consider composite turbulence complexity index, take account (e.g., positive vs. negative or ranking) states. The discussion points out strange behavior some measures—Elzinga’s precarity index Ritschard, Bussi, O’Reilly in particular—and...
This article is devoted to computable techniques for solving comparative static problems when only the sign of partial derivatives model considered. We first show how extract unambiguously signed multipliers, or more generally qualitatively linked multipliers. information then helps reduce size original system by means a qualitative aggregation principle which we establish. As computation solutions, branch-and-bound algorithm presented considerably increases efficiency Samuelson-Lancaster...
This article combines an inter- and intra-cohort perspective to study economic vulnerability in old age. The theoretical background is given through the combination of a social stratification framework institutional emphasizing life course policies. At macro level, increase overall education levels implementation pension system were driving forces strong decrease age poverty over last three decades. individual pathway from low early hardship after retirement most prominent, corresponding...
This article presents the PST R package for categorical sequence analysis with probabilistic suffix trees (PSTs), i.e., structures that store variable-length Markov chains (VLMCs). VLMCs allow to model high-order dependencies in sequences parsimonious models based on simple estimation procedures. The is specifically adapted field of social sciences, as it allows VLMC be learned from sets individual possibly containing missing values; addition, extended account case weights. describes how a...
Multidomain/multichannel sequence analysis has become widely used in social science research to uncover the underlying relationships between two or more observed trajectories parallel. For example, life-course researchers use multidomain study parallel unfolding of multiple domains. In this article, authors conduct a critical review approaches most analysis. The domains is typically analyzed by building joint typology and examining how domain-specific patterns combine with one another within...
La notion d'estime de soi (et plus largement celle d'image soi) tient une place centrale dans conception la socialisation vue comme processus construction interactive - entre les parents et l'enfant d'aptitudes a l'autoregulation l'adaptation. Des lors, question des determinants cette self-esteem devient elle aussi essentielle. Comment est-elle affectee par le genre cohesion familiale style d'education ? Depend-elle egalement position sociale famille On tente cet article d'evaluer poids...
We explore how recent data mining-based tools developed in domains such as biomedicine or text mining for extracting interesting knowledge from sequence could be applied to personal life course data. focus on two types of approaches: 'survival' trees that attempt partition the into homogeneous groups regarding their survival characteristics, i.e., duration until a given event occurs and typical discriminating episodes. show these approaches may fruitfully complement outcome more classical...
AbstractThis article proposes a decorated parallel coordinate plot for longitudinal categorical data, featuring jitter mechanism revealing the diversity of observed patterns and allowing tracking each individual pattern, variable point line widths reflecting weighted pattern frequencies, rendering simultaneous events, different filter options highlighting typical patterns. The proposed visual display has been developed describing exploring order event occurrences, but it can be equally...