Raffaella Piccarreta
Biographic Data
| ID | 4168504 |
|---|---|
| NAME | Raffaella Piccarreta |
| GIVEN NAMES | Raffaella |
| FAMILY NAME | Piccarreta |
| SIGNATURE | PICCARRETA R |
| AFFILIATIONS | Bocconi University |
| ORCID | 0000-0002-8876-3656 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 102 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 4 |
Identifying and Qualifying Deviant Cases in Clusters of Sequences: The Why and The How
Sequence analysis is employed in different fields—e.g., demography, sociology, and political sciences—to describe longitudinal processes represented as sequences of categorical states. In many applications, sequences are clustered to identify relevant types, which reflect the different empirical realisations of the temporal process under study. We explore criteria to inspect internal cluster composition and to detect deviant sequences, that is, c…
Tools for analysing fuzzy clusters of sequences data
BACKGROUNDSequence analysis is a set of tools increasingly used in demography and other social sciences to analyse longitudinal categorical data.Typically, single (e.g., education trajectories) or multiple parallel temporal processes (e.g., work and family) are analysed by using crisp clustering algorithms that reduce complexity by partitioning cases into exhaustive and mutually exclusive groups.Crisp partitions can be problematic when clusters a…
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Joint Sequence Analysis: Association and Clustering
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of domains are interrelated and their joint analysis justified. Also, we discuss about the quality of the res…
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
Graphical and Smoothing Techniques for Sequence Analysis
We consider the problem of the visualization of life courses represented as sequences. We describe the state of the art and introduce new plots which improve the graphical display of sequences unveiling their most salient features. Our proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The advantages of our plots are illustrated using data from the Panel study of Social Integrati…
Strings of Adulthood: A Sequence Analysis of Young British Women’s Work-Family Trajectories
Strings of Adulthood: A Sequence Analysis of Young British Women’s Work-Family Trajectories
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Joint Sequence Analysis: Association and Clustering
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of domains are interrelated and their joint analysis justified. Also, we discuss about the quality of the res…
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
Graphical and Smoothing Techniques for Sequence Analysis
We consider the problem of the visualization of life courses represented as sequences. We describe the state of the art and introduce new plots which improve the graphical display of sequences unveiling their most salient features. Our proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The advantages of our plots are illustrated using data from the Panel study of Social Integrati…
Identifying and Qualifying Deviant Cases in Clusters of Sequences: The Why and The How
Sequence analysis is employed in different fields—e.g., demography, sociology, and political sciences—to describe longitudinal processes represented as sequences of categorical states. In many applications, sequences are clustered to identify relevant types, which reflect the different empirical realisations of the temporal process under study. We explore criteria to inspect internal cluster composition and to detect deviant sequences, that is, c…
Strings of Adulthood: A Sequence Analysis of Young British Women’s Work-Family Trajectories
Graphical and Smoothing Techniques for Sequence Analysis
We consider the problem of the visualization of life courses represented as sequences. We describe the state of the art and introduce new plots which improve the graphical display of sequences unveiling their most salient features. Our proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The advantages of our plots are illustrated using data from the Panel study of Social Integrati…
Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns
We discuss a unified approach to the description and explanation of life course patterns represented as sequences of states observed in discrete time. In particular, we study life course data collected as part of the Dutch Fertility and Family Surveys (FFS) to learn about the family formation behavior of 1,897 women born between 1953 and 1962. Retrospective monthly data were available on each 18- to 30-year-old woman living either with or without…
Joint Sequence Analysis: Association and Clustering
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of domains are interrelated and their joint analysis justified. Also, we discuss about the quality of the res…
Sequence analysis: Its past, present, and future
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a lif…
Identifying and Qualifying Deviant Cases in Clusters of Sequences: The Why and The How
Sequence analysis is employed in different fields—e.g., demography, sociology, and political sciences—to describe longitudinal processes represented as sequences of categorical states. In many applications, sequences are clustered to identify relevant types, which reflect the different empirical realisations of the temporal process under study. We explore criteria to inspect internal cluster composition and to detect deviant sequences, that is, c…
Tools for analysing fuzzy clusters of sequences data
BACKGROUNDSequence analysis is a set of tools increasingly used in demography and other social sciences to analyse longitudinal categorical data.Typically, single (e.g., education trajectories) or multiple parallel temporal processes (e.g., work and family) are analysed by using crisp clustering algorithms that reduce complexity by partitioning cases into exhaustive and mutually exclusive groups.Crisp partitions can be problematic when clusters a…
Computer Science (7 works) · Artificial Intelligence (5 works) · Mathematics (4 works) · Psychology (4 works) · Data science (3 works) · Developmental psychology (3 works) · Life course approach (3 works) · Sequence (biology) (3 works) · Sociology (3 works) · Statistics (3 works)