Photo Félix Imhof

Gilbert Ritschard

Professor
Leader of IP214

Contact

Université de Genève
Centre interfacultaire de gérontologie et d'études des vulnérabilités (CIGEV)
Bd du Pont d'Arve 28
CH-1211 Genève 4
T +41 22 784 28 47

LIVES Publications

Orsholits, D., Studer, M., & Ritschard, G.. (2019). The great recession and trajectories of vulnerability to unemployment in the UK and Switzerland. LIVES Working paper, 79, 1-31. doi:Http://dx.doi.org/10.12682/lives.2296-1658.2019.79
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Ritschard, G., & Studer, M.. (2018). Sequence analysis: Where are we, where wre we going?. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (Vol. 10). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_1
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Ritschard, G., Bussi, M., & O’Reilly, J.. (2018). An index of precarity for measuring early employment insecurity. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications (pp. 289–308). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_16
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Studer, M. (2018). Divisive property-based and fuzzy clustering for sequence analysis. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications (pp. 233–239). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_13
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Taushanov, Z., & Berchtold, A.. (2018). Markovian-based clustering of internet addiction trajectories. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (pp. 203-222). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_12
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Rossignon, F., Studer, M., Gauthier, J. - A., & Le Goff, J. - M.. (2018). Sequence history analysis (SHA): Estimating the effect of past trajectories on an upcoming event. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (pp. 83–100). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_6
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Zhelyazkova, N., & Ritschard, G.. (2018). Parental Leave Take-Up of Fathers in Luxembourg. Population Research and Policy Review, 37, 769-793. doi:10.1007/s11113-018-9470-8
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Ritschard, G., & Studer, M. (Eds.). (2018). Sequence analysis and related approaches : Innovative methods and applications. Life Course Research and social Policies (Vol. 10). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2
Zhelyazkova, N., & Ritschard, G.. (2017). Parental leave within the broader employment trajectory: What can we learn from administrative records?. Equality, Diversity and Inclusion: An International Journal, 36(7), 607–627. doi:10.1108/EDI-05-2017-0109
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Buergin, R. Arthur, & Ritschard, G.. (2017). Coefficient-wise tree-based varying coefficient regression with vcrpart. Journal of Statistical Software, 80(6), 1–33. doi:10.18637/jss.v080.i06
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Gabadinho, A., & Ritschard, G.. (2016). Analyzing state sequences with probabilistic suffix trees: the PST R package. Journal of Statistical Software, 72(3), 1-39. doi:doi:10.18637/jss.v072.i03
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Rossignon, F., Studer, M., Gauthier, J. - A., & Le Goff, J. - M.. (2016). Childhood co-residence structure and home-leaving. In G. Ritschard & Studer, M. (Eds.), Procedings of the International conference on sequence analysis and related methods (LaCOSA II) (pp. 383-428). Lausanne: NCCR LIVES.
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Ganjour, O., Gauthier, J. - A., Le Goff, J. - M., & Studer, M.. (2016). Gender inequality regarding retirement benefits. In G. Ritschard (Ed.), Procedings of the International conference on sequence analysis and related methods (LaCOSA II) (pp. 693-716). Lausanne, Switzerland: NCCR LIVES.
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Le Goff, J. - M. (2016). A phase type model of cohabiting union duration. In G. Ritschard & Studer, M. (Eds.), Procedings of the International conference on sequence analysis and related methods (LaCOSA II) (pp. 693-716). Lausanne: NCCR LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
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Adamopoulos, P., Ritschard, G., & Berchtold, A.. (2016). Using dynamic microsimulation to understand professional trajectories of the active Swiss population. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (pp. 151-154). Lausanne, Switzerland: NCCR LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
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Zhelyazkova, N., & Ritschard, G.. (2016). Discovering and explaining patterns of work-family reconciliation in Luxembourg. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (pp. 143-147). Lausanne, Switzerland: NCCR LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
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Bolano, D., Berchtold, A., & Ritschard, G.. (2016). A discussion on hidden Markov models for life course data. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (pp. 241-260). Lausanne, Switzerland: NCCR LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
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Studer, M., & Ritschard, G.. (2016). What matters in differences between life trajectories: A comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(2), 481-511. doi:10.1111/rssa.12125
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Bürgin, R., & Ritschard, G.. (2015). Tree-based varying coefficient regression for longitudinal ordinal responses. Computational Statistics and Data Analysis, 86, 65-80. doi:10.1016/j.csda.2015.01.003
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Studer, M., & Ritschard, G.. (2014). A comparative review of sequence dissimilarity measures. LIVES Working Papers, 2014(33), 1-47. doi:10.12682/lives.2296-1658.2014.33
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Bürgin, R., & Ritschard, G.. (2014). A decorated parallel coordinate plot for categorical longitudinal data. The American Statistician, 68(2), 98-103. doi:10.1080/00031305.2014.887591
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Oris, M., & Ritschard, G.. (2014). Sequence analysis and transition to adulthood: An exploration of the access to reproduction in nineteenth-century East Belgium. In P. Blanchard, Bühlmann, F., & Gauthier, J. - A. (Eds.), Advances in sequence analysis: Theory, method, applications (pp. 152-167). New York, Heidelberg, Dordrecht, London: Springer.
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Gabadinho, A., & Ritschard, G.. (2013). Searching for typical life trajectories applied to childbirth histories. In R. Levy & Widmer, E. (Eds.), Gendered life courses between individualization and standardization. A European approach applied to Switzerland (pp. 287-312). Vienna: LIT Verlag.
McArdle, J. J., & Ritschard, G.. (2013). Contemporary issues in exploratory data mining in the behavioral sciences. Quantitative Methodology Series (p. 496). London & New York: Routledge.
Widmer, E., & Ritschard, G.. (2013). Parcours de vie: Une pluralisation "encastrée". In N. Burnay, Ertul, S., & Melchior, J. - P. (Eds.), Parcours sociaux et nouveaux desseins temporels (pp. 293-316). Paris: L'Harmattan.
Bürgin, R., & Ritschard, G.. (2013). Rendering the order of life events. LIVES Working Papers, 2013(29), 1-16. doi:10.12682/lives.2296-1658.2013.29
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Ritschard, G., Bürgin, R., & Studer, M.. (2013). Exploratory mining of life event histories. In J. J. McArdle & Ritschard, G. (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 221-253). London & New York: Routledge.
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Ritschard, G. (2012). Exploring sequential data. (J. - G. Ganascia, Lenca, P., & Petit, J. - M., Eds.)Discovery science: 15th international conference: Proceedings. Berlin: Springer.
Bürgin, R., Ritschard, G., & Rousseaux, E.. (2012). Visualisation de séquences d'événements. Revue des Nouvelles Technologies de l'Information, Extraction et gestion des connaissances (RNTI-E), 23, 559-560.
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Gabadinho, A., Ritschard, G., Studer, M., & Müller, N. S.. (2011). Extracting and rendering representative sequences. In A. Fred, Dietz, J. L. G., Liu, K., & Filipe, J. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 94-106). Berlin: Springer.
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Studer, M., Ritschard, G., Gabadinho, A., & Müller, N. S.. (2011). Discrepancy Analysis of State Sequences. Sociological Methods & Research, 40(3), 471-510. doi:10.1177/0049124111415372
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