Jean-Claude Falmagne
Biographic Data
| ID | 1129477 |
|---|---|
| NAME | Jean-Claude Falmagne |
| GIVEN NAMES | Jean-Claude |
| FAMILY NAME | Falmagne |
| SIGNATURE | FALMAGNE J |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 2 |
Markov Processes in Learning Spaces
Mathematical Psychology
Learning Spaces
Learning Spaces and Media
A stochastic model of preference change and its application to 1992 presidential election panel data
The authors present and test a model for the evolution of preferences. Personal preferences are represented by rankings with possible ties and are posited to change under the influence of of information in the environment. These tokens may not be directly controlled or observed by the researcher. The authors apply the model to 1992 National Election Study panel data (W. E. Miller, D. R. Kinder, S. J. Rosenstone, & NES, 1993). The parameter estima…
Matching relations and the dimensional structure of social choices
A random utility model for a belief function
A Probabilistic Theory of Extensive Measurement
Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation ≲ and a concatenation ( x,y ) → xy. For situations in which the data is “noisy,” it is proposed here to consider each expression y ≲ x as symbolizing an event in a probability space. Denoting P(x,y) the probability of such an event, two theories are discussed corresponding to the two representing relations: with Axiomatic analyses are given, and re…
A stochastic model of preference change and its application to 1992 presidential election panel data
The authors present and test a model for the evolution of preferences. Personal preferences are represented by rankings with possible ties and are posited to change under the influence of of information in the environment. These tokens may not be directly controlled or observed by the researcher. The authors apply the model to 1992 National Election Study panel data (W. E. Miller, D. R. Kinder, S. J. Rosenstone, & NES, 1993). The parameter estima…
A Probabilistic Theory of Extensive Measurement
Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation ≲ and a concatenation ( x,y ) → xy. For situations in which the data is “noisy,” it is proposed here to consider each expression y ≲ x as symbolizing an event in a probability space. Denoting P(x,y) the probability of such an event, two theories are discussed corresponding to the two representing relations: with Axiomatic analyses are given, and re…
Matching relations and the dimensional structure of social choices
A Probabilistic Theory of Extensive Measurement
Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation ≲ and a concatenation ( x,y ) → xy. For situations in which the data is “noisy,” it is proposed here to consider each expression y ≲ x as symbolizing an event in a probability space. Denoting P(x,y) the probability of such an event, two theories are discussed corresponding to the two representing relations: with Axiomatic analyses are given, and re…
A random utility model for a belief function
Matching relations and the dimensional structure of social choices
A stochastic model of preference change and its application to 1992 presidential election panel data
The authors present and test a model for the evolution of preferences. Personal preferences are represented by rankings with possible ties and are posited to change under the influence of of information in the environment. These tokens may not be directly controlled or observed by the researcher. The authors apply the model to 1992 National Election Study panel data (W. E. Miller, D. R. Kinder, S. J. Rosenstone, & NES, 1993). The parameter estima…
Learning Spaces
Learning Spaces and Media
Markov Processes in Learning Spaces
Mathematical Psychology
Computer Science (7 works) · Mathematics (6 works) · Psychology (4 works) · Economics (3 works) · Statistics (3 works) · Axiom (2 works) · Epistemology (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Mathematical economics (2 works) · Mathematics education (2 works)