Econometric models of probabilistic choice: beyond mcfadden’s formulas

Econometric models of probabilistic choice: beyond mcfadden’s formulas

© Springer International Publishing AG 2017. Traditional decision theory assumes that for every two alternatives, people always make the same (deterministic) choice. In practice, people’s choices are often probabilistic, especially for similar alternatives: the same decision maker can sometimes sele...

Saved in:

書目詳細資料
Main Authors:	Kosheleva O., Kreinovich V., Sriboonchitta S.
格式:	Book Series
出版:	2017
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012267327&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40796
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

相似書籍

Econometric models of probabilistic choice: beyond mcfadden’s formulas
由: Olga Kosheleva, et al.
出版: (2018)

Econometric models of probabilistic choice: beyond mcfadden’s formulas
由: Olga Kosheleva, et al.
出版: (2018)

Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyond
由: Vladik Kreinovich, et al.
出版: (2018)

Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyond
由: Vladik Kreinovich, et al.
出版: (2018)

Beyond traditional probabilistic methods in econometrics
由: Hung T. Nguyen, et al.
出版: (2019)

Quantum ideas in economics beyond quantum econometrics
由: Vladik Kreinovich, et al.
出版: (2018)

Quantum ideas in economics beyond quantum econometrics
由: Vladik Kreinovich, et al.
出版: (2018)

Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness
由: Kittawit Autchariyapanitkul, et al.
出版: (2018)

Why Bohmian Approach to Quantum Econometrics: An Algebraic Explanation
由: Vladik Kreinovich, et al.
出版: (2020)

Modeling dependence in econometrics
由: Van Nam Huynh, et al.
出版: (2018)

Modeling dependence in econometrics
由: Van Nam Huynh, et al.
出版: (2018)

Preferences (Partial pre-orders) on complex numbers – In view of possible use in quantum econometrics
由: Songsak Sriboonchitta, et al.
出版: (2019)

Econometrics of risk
由: Huynh,V.N., et al.
出版: (2015)

Why are vine copulas so successful in econometrics?
由: Songsak Sriboonchitta, et al.
出版: (2018)

Why are vine copulas so successful in econometrics?
由: Songsak Sriboonchitta, et al.
出版: (2018)

Beyond Integration: A Symmetry-Based Approach to Reaching Stationarity in Economic Time Series
由: Songsak Sriboonchitta, et al.
出版: (2020)

Which robust versions of sample variance and sample covariance are most appropriate for econometrics: Symmetry-based analysis
由: Sriboonchitta S., et al.
出版: (2017)

Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm
由: Vladik Kreinovich, et al.
出版: (2020)

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
由: Kreinovich V., et al.
出版: (2017)

On fuzzy theory for econometrics
由: Hung T. Nguyen, et al.
出版: (2018)

On fuzzy theory for econometrics
由: Hung T. Nguyen, et al.
出版: (2018)

Which robust versions of sample variance and sample covariance are most appropriate for econometrics: Symmetry-based analysis
由: Songsak Sriboonchitta, et al.
出版: (2018)

Beyond traditional applications of fuzzy techniques: Main idea and case studies
由: Vladik Kreinovich, et al.
出版: (2018)

Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theorem
由: Kreinovich V., et al.
出版: (2017)

Forecasting using belief functions: An application to marketing econometrics
由: Kanjanatarakul O., et al.
出版: (2014)

Vine copulas as a way to describe and analyze multi-variate dependence in econometrics: Computational motivation and comparison with Bayesian networks and fuzzy approaches
由: Sriboonchitta S., et al.
出版: (2014)

An econometric model of Shanghai.
由: Choo, Chou Foo.
出版: (2013)

Stochastic frontier model in financial econometrics: A copula-based approach
由: Tibprasorn P., et al.
出版: (2017)

Stochastic frontier model in financial econometrics: A copula-based approach
由: P. Tibprasorn, et al.
出版: (2018)

Stochastic frontier model in financial econometrics: A copula-based approach
由: P. Tibprasorn, et al.
出版: (2018)

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
由: Vladik Kreinovich, et al.
出版: (2018)

Beyond ‘Choice’: Theorizing Women’s Agency
由: Esteve, Gladys B.
出版: (2024)

How to get beyond uniform when applying Maxent to interval uncertainty
由: Songsak Sriboonchitta, et al.
出版: (2018)

How to get beyond uniform when applying Maxent to interval uncertainty
由: Songsak Sriboonchitta, et al.
出版: (2018)

Why hammerstein-type block models are so efficient: Case study of financial econometrics
由: Thongchai Dumrongpokaphan, et al.
出版: (2019)

Fuzzy data processing beyond min t-norm
由: Andrzej Pownuk, et al.
出版: (2018)

Fuzzy data processing beyond min t-norm
由: Andrzej Pownuk, et al.
出版: (2018)

An econometric model of Shandong Province
由: Poh, Bee Tin
出版: (2014)

AN ECONOMETRIC MODEL FOR THE SINGAPORE ECONOMY
由: LAI YENG FONG
出版: (2020)

Vine copulas as a way to describe and analyze multi-variate dependence in econometrics: Computational motivation and comparison with Bayesian networks and fuzzy approaches
由: Songsak Sriboonchitta, et al.
出版: (2018)