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DIRECT REDUCTION OF BIAS OF THE CLASSI-CAL HILL ESTIMATOR
Statistics of Extremes semi-parametric estimation bias estimation heavy tails
2009/2/26
In this paper we are interested in an adequate estimation of the dominant component
of the bias of Hill's estimator of a positive tail index °, in order to remove it from
the classical Hill estimato...
IMPROVING SECOND ORDER REDUCED BIAS EXTREME VALUE INDEX ESTIMATION
statistics of extremes semi-parametric estimation bias estimation heavy tails maxi-mum likelihood
2009/2/25
Classical extreme value index estimators are known to be quite sensitive to the number
k of top order statistics used in the estimation. The recently developed second
order reduced-bias estimators s...
MINIMUM-VARIANCE REDUCED-BIAS TAIL INDEX AND HIGH QUANTILE ESTIMATION
statistics of extremes tail index high quantiles second-order reduced-bias semi-parametric estimation third order framework
2009/2/25
Heavy tailed-models are quite useful in many fields, like insurance, finance, telecom-
munications, internet traffic, among others, and it is often necessary to estimate a
high quantile, i.e., a val...
ERROR AND BIAS IN BENEFIT-COST ANALYSIS：HUD’s CASE FOR THE WIND RULE
Housing and Urban Development Regulatory Impact Analysis BENEFIT-COST ANALYSIS
2008/11/19
In July 1994, the U.S. Department of Housing and Urban Development
(HUD) put into effect new regulations—the “wind rule”—
that set stricter wind resistance standards for the construction of
manufac...
CAN THE MEDIA BE SO LIBERAL? THE ECONOMICS OF MEDIA BIAS
MEDIA BIAS national news media liberal bias
2008/11/12
The Challenge to the Presumption of Bias
Many conservatives charge that the national news media exhibit a
liberal bias, despite surface appearances of impartiality. Charges of a
liberal bias essent...
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Penalized regression high-dimensional data variable selection bias rate consistency spectral analysis random matrices
2010/4/30
Meinshausen and Buhlmann [Ann. Statist. 34 (2006) 1436–1462]
showed that, for neighborhood selection in Gaussian graphical models,
under a neighborhood stability condition, the LASSO is consistent,
...
4/20/2007，Workers are struggling to achieve work/life balance but often find themselves pitted against employers whose policies tend to favor employees who have some control over their schedules, whit...
A Method for Avoiding Bias from Feature Selection with Application to Naive Bayes Classification Models
Method Feature Selection Application Naive Bayes Classification Models
2010/4/26
For many classification and regression problems, a large number of features are available
for possible use — this is typical of DNA microarray data on gene expression, for example. Often,for computat...
Declining Bias and Gender Wage Discrimination? A Meta-Regression Analysis
Declining Bias Gender Wage Discrimination Meta-Regression Analysis
2016/3/4
This paper extends, tests, and revises a previous meta-regression analysis of the gender wage gap (Stanley and Jarrell 1998). We find that there remains a strong, though dampened, tendency for discrim...