Modeling dependence in econometrics

Modeling dependence in econometrics

Saved in:

書目詳細資料
Main Authors:	Van Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
格式:	Book Series
出版:	2018
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897896388&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45711
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

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

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)

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)

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

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)

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)

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

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)

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

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)

Econometric models of probabilistic choice: beyond mcfadden’s formulas
由: Kosheleva O., et al.
出版: (2017)

How to detect linear dependence on the copula level?
由: Vladik Kreinovich, et al.
出版: (2018)

How to detect linear dependence on the copula level?
由: Vladik Kreinovich, et al.
出版: (2018)

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)

Quantitative justification for the gravity model in economics
由: Vladik Kreinovich, et al.
出版: (2018)

Quantitative justification for the gravity model in economics
由: Vladik Kreinovich, 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)

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)

Studying volatility and dependency of chinese outbound tourism demand in Singapore, Malaysia, and Thailand: A vine copula approach
由: Jianxu Liu, et al.
出版: (2018)

Studying volatility and dependency of chinese outbound tourism demand in Singapore, Malaysia, and Thailand: A vine copula approach
由: Jianxu Liu, et al.
出版: (2018)

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)

Why threshold models: A theoretical explanation
由: Thongchai Dumrongpokaphan, et al.
出版: (2019)

For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem
由: Vladik Kreinovich, et al.
出版: (2018)

A bad plan is better than no plan: A theoretical justification of an empirical observation
由: Songsak Sriboonchitta, et al.
出版: (2018)

For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theorem
由: Vladik Kreinovich, et al.
出版: (2018)

Why Are FGM Copulas Successful? A Simple Explanation
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)

Maxent-based explanation of why financial analysts systematically under-predict companies’ performance
由: Vladik Kreinovich, et al.
出版: (2018)

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

Maxent-based explanation of why financial analysts systematically under-predict companies’ performance
由: Vladik Kreinovich, et al.
出版: (2018)

A bad plan is better than no plan: A theoretical justification of an empirical observation
由: Songsak Sriboonchitta, et al.
出版: (2018)

Forecasting using belief functions: An application to marketing econometrics
由: Orakanya Kanjanatarakul, et al.
出版: (2018)

Forecasting using belief functions: An application to marketing econometrics
由: Orakanya Kanjanatarakul, et al.
出版: (2018)

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)