Titlebook: Robustness in Econometrics; Vladik Kreinovich,Songsak Sriboonchitta,Van-Nam Hu Book 2017 Springer International Publishing AG 2017 Computa

话

On Conditioning in Multidimensional Probabilistic Modelse model. But until recently it had been an open problem whether this class of models is closed under conditioning; i.e., whether a conditional of a flexible model is again flexible. In the paper we will show that this property holds true, which proves the importance of flexible models for practical

TSH582

1860-949X c trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations..978-3-319-84480-0978-3-319-50742-2Series ISSN 1860-949X Series E-ISSN 1860-9503

Canopy

DEBT

TAP

Cathy W. S. Chen,Khemmanant Khamthong,Sangyeol Lee

解脱

Robust Estimation of Heckman Modelrocedures. In particular we focus on the influence function, the Gâteaux derivative of a functional in direction of a point mass, which can be used both to study the local stability properties of a statistical procedure and to construct new robust procedures. In the second part we show how these pri

存心

Robustness as a Criterion for Selecting a Probability Distribution Under Uncertaintybability distributions which are consistent with the available knowledge. One way to make this selection is to take into account that usually, the values . of the corresponding quantity are also known only with some accuracy. It is therefore desirable to select a distribution which is the most robus

heterogeneous

争吵加

CHOP