Titlebook: Uncertainty Analysis in Econometrics with Applications; Van-Nam Huynh,Vladik Kreinovich,Komsan Suriya Conference proceedings 2013 Springer

euphoria

Modeling Dependence Dynamics of Air Pollution: Time Series Analysis Using a Copula Based GARCH Type ween Shenzhen and regional, national levels; tail dependence captures the change in dependence better; dependence structure change across time. Our findings have implications for environmental management.

voluble

On the State of the Art of Info-metricste of info-metrics. After defining and discussing the concept of information and types of information I relate these concepts to information processing and data analysis. The connection between info-metrics and the class of information-theoretic methods of inference is discussed here as well. The di

不朽中国

傲慢物

Statistical Inference from Ill-known Data Using Belief Functionsef function (or a completely monotone Choquet capacity) can be seen both as a non additive measure and as a generalized set. In this paper, the theory of belief functions is argued to be a suitable framework for statistical analysis of low quality, i.e., imprecise and/or partially reliable data. Aft

音的强弱

Brief Introduction to Probabilistic Compositional Models probability theory and probabilistic modeling play an important role in econometrics. In practical applications one has to cope with the fact that even relatively small models have to take into account rather hundreds than tens of factors. This is why the methods for multidimensional probability di

Hypopnea

Musculoskeletal

Why Clayton and Gumbel Copulas: A Symmetry-Based Explanationheir correlation: it is desirable to also know the corresponding copula. There are many different families of copulas; which family shall we use? In many econometric applications, two families of copulas have been most efficient: the Clayton and the Gumbel copulas. In this paper, we provide a theore

和平主义者

PRO

规范就好