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Alessio Moneta

Datos Biográficos

ID1470993
NOMBREAlessio Moneta
NOMBRESAlessio
APELLIDOMoneta
FIRMAMONETA A
AFILIACIONESScuola Superiore Sant'Anna
ORCID0000-0003-4786-9507
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS4
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2010
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H1
  • Variable Definition and Independent Components

    Open Access•Lorenzo Casini, Alessio Moneta et al.•ARTICLE•Philosophy of Science•2021•Citada por: 1•Referencias: 5

    In the causal modeling literature, it is well known that ill-defined variables may give rise to ambiguous manipulations. Here, we illustrate how ill-defined variables may also induce mistakes in causal inference when standard causal search methods are applied. To address the problem, we introduce a representation framework, which exploits an independent component representation of the data, and demonstrate its potential for detecting ill-defined …

  • A Method for Agent-Based Models Validation

    Open Access•Mattia Guerini, Alessio Moneta•ARTICLE•SSRN Electronic Journal•2016

  • Retrospectives

    Open Access•Andreas Chai, Alessio Moneta•ARTICLE•The Journal of Economic…•2010•Citada por: 3•Referencias: 12

    Engel curves describe how household expenditure on particular goods or services depends on household income. German statistician Ernst Engel (1821-1896) was the first to investigate this relationship systematically in an article published about 150 years ago. The best-known single result from the article is "Engel's law," which states that the poorer a family is, the larger the budget share it spends on nourishment. We revisit Engel's article, in…

  • Retrospectives

    Open Access•Andreas Chai, Alessio Moneta•ARTICLE•The Journal of Economic…•2010•Citada por: 3•Referencias: 12

    Engel curves describe how household expenditure on particular goods or services depends on household income. German statistician Ernst Engel (1821-1896) was the first to investigate this relationship systematically in an article published about 150 years ago. The best-known single result from the article is "Engel's law," which states that the poorer a family is, the larger the budget share it spends on nourishment. We revisit Engel's article, in…

  • Variable Definition and Independent Components

    Open Access•Lorenzo Casini, Alessio Moneta et al.•ARTICLE•Philosophy of Science•2021•Citada por: 1•Referencias: 5

    In the causal modeling literature, it is well known that ill-defined variables may give rise to ambiguous manipulations. Here, we illustrate how ill-defined variables may also induce mistakes in causal inference when standard causal search methods are applied. To address the problem, we introduce a representation framework, which exploits an independent component representation of the data, and demonstrate its potential for detecting ill-defined …

  • Retrospectives

    Open Access•Andreas Chai, Alessio Moneta•ARTICLE•The Journal of Economic…•2010•Citada por: 3•Referencias: 12

    Engel curves describe how household expenditure on particular goods or services depends on household income. German statistician Ernst Engel (1821-1896) was the first to investigate this relationship systematically in an article published about 150 years ago. The best-known single result from the article is "Engel's law," which states that the poorer a family is, the larger the budget share it spends on nourishment. We revisit Engel's article, in…

  • A Method for Agent-Based Models Validation

    Open Access•Mattia Guerini, Alessio Moneta•ARTICLE•SSRN Electronic Journal•2016

  • Variable Definition and Independent Components

    Open Access•Lorenzo Casini, Alessio Moneta et al.•ARTICLE•Philosophy of Science•2021•Citada por: 1•Referencias: 5

    In the causal modeling literature, it is well known that ill-defined variables may give rise to ambiguous manipulations. Here, we illustrate how ill-defined variables may also induce mistakes in causal inference when standard causal search methods are applied. To address the problem, we introduce a representation framework, which exploits an independent component representation of the data, and demonstrate its potential for detecting ill-defined …

Computer Science (2 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Statistics (2 obras) · Advanced Graph Neural Networks (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Bayesian Modeling and Causal Inference (1 obras) · Causal inference (1 obras) · Causal model (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae