Home
Last parution
Authors
Topics
Keywords
Parutions
Videos
Search
Reading committee
Contact
Subscription
Article submission
 
French version
French flag


The issues from
1 to 148 are also available on line at
NUMDAM

and at Revues.org
for the following issues
    Results for criterions:
  • Topic: Process
Modify search criterions
Results n° 1 to 8 of 20 matches
Page 1 . 2 . 3 . >> Next page
Title Introdution to the law of large numbers
Author MORLAT Georges, BARBUT Marc, (Réalisation Rossi Raoul)
Keywords Convergence, Sampling, Sex ratio
Topics Demography, Probabilities, Process, Statistics
Abstract
Number 1183, Fall 2008, special issue: Video flashback
Language   French
Play or download video
inlow qualityhigh quality
format x264 : Grands nombres.avi(17.8M)Grands nombres.avi(45.7M)
format xvid : -Grands nombres.avi(50.9M)


Title The Arc-sinus law
Author MORLAT Georges, BARBUT Marc, (Réalisation Rossi Raoul)
Keywords André Désiré, Arc-sinus, Ballot, Counting of the votes, Lévy Paul
Topics Probabilities, Process, Random variable, Statistics, Voting
Abstract
Number 1183, Fall 2008, special issue: Video flashback
Language   French
Play or download video
inlow qualityhigh quality
format x264 : Arc sinus.avi(20.2M)Arc sinus.avi(40.1M)
format xvid : --


Title Demographic time series: long memory or regime switching?
Author BOUTAHAR Mohamed, AJMI Ahdi Noomen
Keywords ARFIMA process, Demography, Long memory, Structural changes
Topics Demography, Modelling, Process, Time Series
Abstract A few works have recently advocated the use of the long memory concept in modelling demography time series. However, the study of such series shows evidence for regime switching which was pointed out by demographers many years ago. As in an economic framework, one may ask the following question, what is the genuine process describing such series: long memory or regime switching?
Number 181, Spring 2008
Language   French
Read the article


Title Actions, interactions and structure in the emergence of educational stratification: A discrete choices model with externalities
Author MANZO Gianluca
Keywords Agents-based models, Educational choices, Emergence, Heterogeneity, Interdependency, Mathematical model, Statistical analysis
Topics Concentration, Methodology, Modelling, Process, Social Psychology, Sociology
Abstract The article presents a generating model of educational stratification which aims analytically decompose the emergence of this one in terms of individual choices, of interactions direct and indirect between them and of structural constraints which weigh on the actors. The model suggested takes as a starting point the framework of "discrete choices models with externalities". By this one, it proposes to refine the most usually adopted theorizations in the quantitative studies of the educational stratification, namely the «rational educational choice approach». The article guides the reader through the stages of construction and study of the model. In the first time, the sociological ideas which melt this model are exposed. In the second time, their mathematical formalization, initially, their computational translation (in an agents-based system), then, are dissected. In the third time, the results of the deductive treatment by simulation of the theoretical model are elaborate inductively. On the one hand, the "simulated" data are confronted with French and Italian empirical data to establish the degree of conformity between the theoretical educational stratification and empirical one. In addition, one studies the data produced by the model under experimental conditions different from those adopted to reproduce the empirical data: namely, the role of the interindividual variability in the genesis of the educational stratification is explored. The article is concluded by a discussion about the limits of our formal model.
Number 175, Fall 2006
Language   French
Read the article


Title Building models for social space: neighourhood-based models for social networks and affiliation structures
Author PATTISON Philippa, ROBINS Garry
Keywords Affiliation, Dynamic, Neighbourhood, Random graph, Social space
Topics Graphs, Modelling, Networks, Probabilities, Process, Social Sciences, Stochastic Processes
Abstract We propose a quantitative relational framework for social space. We suggest that social space cannot be specified simply in geographical, network or sociocultural terms but, rather, requires an understanding of the interdependence of relationships among different types of social entities, such as persons, groups, sociocultural resources and places. We also suggest that social space cannot be regarded as fixed: unlike the Euclidean space of Newtonian mechanics, social space is constructed, at least in part, by the social processes that it supports. In the general stochastic relational framework that we propose, relationships among social entities are regarded as the fundamental elements of social space and observed relational entities are viewed as the outcome of processes that occur in overlapping local relational neighbourhoods. Each neighbourhood corresponds to a subset of possible relational entities and is conceived as a possible site of social interaction. We show how special cases of this framework yield hierarchies of models for social networks and for affiliation structures. We also sketch some next steps in the development of this framework.
Number 168, Winter 2004, special issue: Social networks
Language  English
Read the article


Title The mathematics of population from Lambert to Lotka
Author VERON Jacques
Keywords Law of mortality, Logistic law, Malthusian population, Mean length life, Median length of life, Normal length of life, Population with a stable age distribution
Topics Demography, Historical demography - History of Demography, History of sciences, Logistic Curve, Probabilities, Process
Abstract In 1825, Benjamin Gompertz gives a mathematical formulation of the law of mortality, which, following a former one by Lambert (1772), relates survival to age. In 1844, Pierre-François Verhulst put forward a model of population growth in which the rate of growth reduces when the size of the population increases: it is the logistic function (Lotka will, from 1907, contribute largely to this field of population dynamics, especially on the stability of the age composition of a population).During the 19th century too, Wilhelm Lexis gives estimations of the normal length of human life, which would be observed in the absence of premature deaths, in childhood and adulthood.
Number 159, Fall 2002
Language   French
Read the article


Title Viable strategies among fishermen analysed by the anthropologist Fredrik Barth
Author BONNEUIL Noël, SAINT-PIERRE Patrick
Keywords None
Topics Algorithms - Algorithmic Theory, Anthropology - Ethnology, Decision Theory, Dynamical Systems, Process
Abstract The anthropologist Fredrik Barth analysed the social forms generated among Norvegian fishermen. His view is well rendered by the mathematical tools of viability theory. The largest set of states from which economic survival is still possible is calculated, as well as the right decision to take at each moment, between risk-taking and following the other vessels. Moreover, the technical condition that the image of the correspondence describing the process at work must be compact, isviolated. We deal with this difficulty and we present the algorithm.
Number 142, Summer 1998
Language   French
Read the article


Title Parameters in collective decision making models: estimation and sensitivity
Author SNIJDERS Tom A. B., ZEGGELINK Evelien P.H., STOKMAN Frans-N.
Keywords None
Topics Decision Theory, Game Theory, Networks, Process, Social Sciences, Stochastic Processes, Voting
Abstract Simulation models for collective decision making are based on theoretical and empirical insight in the decision making process, but still contain a number of parameters of which the values are determined ad hoc. For the dynamic access model, some of such parameters are discussed, and it is proposed to extend the utility functions with a random term of which the variance also is an unknown parameter. These parameters can be estimated by fitting model predictions to data, where the predictions can refer to decision outcomes but also to network structure generated as a part of the decision making process. Given the stochastic nature of the model, this parameter estimation can be carried out with the Robbins Monro process. Such fitting is not completely straightforward: statistics must be chosen on which to base the parameter estimation, it is not certain a priori that there will be a solution to the estimating equation and that the Robbins Monro process will converge. The method is illustrated with data from the financial restructuring of a large company.
Number 137, Spring 1997, special issue: A few models for social networks analysis
Language  English
Read the article


Page 1 . 2 . 3 . >> Next page

Users rights :
Contrat Creative Commons
The entire journal is licensed under a Creative Commons license