Gilbert Ritschard
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Gilbert Ritschard
Gilbert Ritschard (born March 24, 1950) is a Swiss statistician specialized in quantitative methods for the social sciences and in the analysis of longitudinal data describing life courses. He is Professor Emeritus at the University of Geneva. He earned a Ph.D. in Econometrics and Statistics at the University of Geneva in 1979. His main contributions are in sequence analysis. He initiated and led the SNFS project that developed thTraMineRR toolkit for sequence analysis. He is one of the founders of thSequence Analysis Association which he served as first president. Scholarly career Gilbert Ritschard graduated in 1973 in quantitative economics, earned a diploma in econometrics in 1975, and his Ph.D. in econometrics and statistics in 1979, all at the Department of Econometrics of the University of Geneva. In his doctoral dissertation titled (in French) ontributions to the analysis of the qualitative structures of economic models he developed powerful algorithms for solving qua ...
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Geneva, Switzerland
Geneva ( , ; ) ; ; . is the second-most populous city in Switzerland and the most populous in French-speaking Romandy. Situated in the southwest of the country, where the Rhône exits Lake Geneva, it is the capital of the Republic and Canton of Geneva, and a centre for international diplomacy. Geneva hosts the highest number of international organizations in the world, and has been referred to as the world's most compact metropolis and the "Peace Capital". Geneva is a global city, an international financial centre, and a worldwide centre for diplomacy hosting the highest number of international organizations in the world, including the headquarters of many agencies of the United Nations and the ICRC and IFRC of the Red Cross. In the aftermath of World War I, it hosted the League of Nations. It was where the Geneva Conventions on humanitarian treatment in war were signed. It shares a unique distinction with municipalities such as New York City, Basel, and Strasbourg as ...
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Mathematical Economics
Mathematical economics is the application of Mathematics, mathematical methods to represent theories and analyze problems in economics. Often, these Applied mathematics#Economics, applied methods are beyond simple geometry, and may include differential and integral calculus, Recurrence relation, difference and differential equations, Matrix (mathematics), matrix algebra, mathematical programming, or other Computational economics, computational methods.TOC.
Proponents of this approach claim that it allows the formulation of theoretical relationships with rigor, generality, and simplicity. Mathematics allows economists to form meaningful, testable propositions about wide-ranging and complex subjects which could less easily be expressed informally. Further, the language of mathematics allows economists to make specific, positiv ...
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Living People
Purpose: Because living persons may suffer personal harm from inappropriate information, we should watch their articles carefully. By adding an article to this category, it marks them with a notice about sources whenever someone tries to edit them, to remind them of WP:BLP (biographies of living persons) policy that these articles must maintain a neutral point of view, maintain factual accuracy, and be properly sourced. Recent changes to these articles are listed on Special:RecentChangesLinked/Living people. Organization: This category should not be sub-categorized. Entries are generally sorted by family name In many societies, a surname, family name, or last name is the mostly hereditary portion of one's personal name that indicates one's family. It is typically combined with a given name to form the full name of a person, although several give .... Maintenance: Individuals of advanced age (over 90), for whom there has been no new documentation in the last ten ...
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1950 Births
Events January * January 1 – The International Police Association (IPA) – the largest police organization in the world – is formed. * January 5 – 1950 Sverdlovsk plane crash, Sverdlovsk plane crash: ''Aeroflot'' Lisunov Li-2 crashes in a snowstorm. All 19 aboard are killed, including almost the entire national ice hockey team (VVS Moscow) of the Soviet Air Force – 11 players, as well as a team doctor and a masseur. * January 6 – The UK recognizes the People's Republic of China; the Republic of China severs diplomatic relations with Britain in response. * January 7 – A fire in the St Elizabeth's Ward of Mercy Hospital in Davenport, Iowa, United States, kills 41 patients. * January 9 – The Israeli government recognizes the People's Republic of China. * January 12 – Submarine collides with Sweden, Swedish oil tanker ''Divina'' in the Thames Estuary and sinks; 64 die. * January 13 – Finland forms diplomatic relations with the People's Republic of Chin ...
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Representative Sequences
In social sciences and other domains, representative sequences are whole sequences that best characterize or summarize a set of sequences. In bioinformatics, representative sequences also designate substrings of a sequence that characterize the sequence. Social sciences In Sequence analysis in social sciences, representative sequences are used to summarize sets of sequences describing for example the family life course or professional career of several thousands individuals. The identification of representative sequences proceeds from the pairwise dissimilarities between sequences. One typical solution is the medoid sequence, i.e., the observed sequence that minimizes the sum of its distances to all other sequences in the set. An other solution is the densest observed sequence, i.e., the sequence with the greatest number of other sequences in its neighborhood. When the diversity of the sequences is large, a single representative is often insufficient to efficiently characterize t ...
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Life Course Research
Life course research is an interdisciplinary field in the social and behavioral sciences. Developed during the 1960s, it aims to study human development Human development may refer to: * Development of the human body ** This includes physical developments such as growth, and also development of the brain * Developmental psychology * Development theory * Human development (economics) * Human Develo ... over the entire life span. As such, it brings together aspects of human development that had previously only been studied separately. In the 1970s, scholars first started to commonly refer to their field as "life course research". The field includes research conceptualizing the life course as one of many different concepts, including developmental processes, cultural constructs, and demographic accounts. References Further reading * * {{Sociology-stub Interdisciplinary subfields of sociology ...
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Decision Tree Learning
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called Statistical classification, classification decision tree, trees; in these tree structures, leaf node, leaves represent class labels and branches represent Logical conjunction, conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression analysis, regression decision tree, trees. More generally, the concept of regression tree can be extended to any kind of object equipped with pairwise dissimilarities such as categorical sequences. Decision trees are among the most popular machine learning algorithms given their intelligibility and simplic ...
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Data Mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the " knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ...
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Path Analysis (statistics)
In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA). In addition to being thought of as a form of multiple regression focusing on causality, path analysis can be viewed as a special case of structural equation modeling (SEM) – one in which only single indicators are employed for each of the variables in the causal model. That is, path analysis is SEM with a structural model, but no measurement model. Other terms used to refer to path analysis include causal modeling and analysis of covariance structures. Path analysis is considered by Judea Pearl to be a direct ancestor to the techniques of causal inference. History Path analysis was developed ...
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Regression Diagnostic
In statistics, a regression diagnostic is one of a set of procedures available for regression analysis that seek to assess the validity of a model in any of a number of different ways. This assessment may be an exploration of the model's underlying statistical assumptions, an examination of the structure of the model by considering formulations that have fewer, more or different explanatory variables, or a study of subgroups of observations, looking for those that are either poorly represented by the model (outliers) or that have a relatively large effect on the regression model's predictions. A regression diagnostic may take the form of a graphical result, informal quantitative results or a formal statistical hypothesis test, each of which provides guidance for further stages of a regression analysis. Introduction Regression diagnostics have often been developed or were initially proposed in the context of linear regression or, more particularly, ordinary least squares. This mea ...
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Université Du Québec à Montréal
The (UQAM; ), is a French language, French-language public university, public research university based in Montreal, Quebec, Canada. It is the largest constituent element of the system. UQAM was founded on April 9, 1969, by the government of Quebec, through the merger of the , a fine arts school; the , a classical college; and a number of smaller schools. Although part of the UQ network, UQAM possesses a relative independence which allows it to choose its rector. In the fall of 2018, the university welcomed some 40,738 students, including 3,859 international students from 95 countries, in a total of 310 distinct programs of study, managed by six faculties (Arts, Education, Communication, Political Science and Law, Science and Social science) and one school (Management). It offers Bachelor's degree, Bachelors, Master's degree, Masters, and Doctor of Philosophy, Doctoral degrees. It is one of Montreal's two French-language universities, along with the , and only 1% of its stud ...
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Quantitative Research
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies. Associated with the natural, applied, formal, and social sciences this research strategy promotes the objective empirical investigation of observable phenomena to test and understand relationships. This is done through a range of quantifying methods and techniques, reflecting on its broad utilization as a research strategy across differing academic disciplines. There are several situations where quantitative research may not be the most appropriate or effective method to use: 1. When exploring in-depth or complex topics. 2. When studying subjective experiences and personal opinions. 3. When conducting exploratory research. 4. When studying sensitive or controversial topics The objective of quantitative research is to deve ...
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