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Fixed-k Inference for Conditional Extremal Quantiles
Yuya Sasaki,
Yulong Wang
Department of Economics
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Business & Economics
Confidence Interval
100%
Conditional Quantiles
95%
Inference
56%
Low Birth Weight
26%
Tail Index
25%
Random Coefficient Models
24%
Nearest Neighbor
22%
Asymptotic Normality
22%
Extreme Value Theory
21%
Data Generating Process
20%
Parametric Model
20%
Nonparametric Methods
20%
Quantile
17%
Small Sample
16%
Simulation Study
16%
Coefficients
12%
Statistics
12%
Panel Data
12%
Alternatives
8%
Factors
5%
Mathematics
Quantile
67%
Confidence interval
56%
Valid
25%
Random Coefficient Models
24%
Tail Index
22%
Extreme Value Theory
21%
Panel Data
21%
Nonparametric Methods
19%
Longitudinal Data
18%
Parametric Model
17%
Nearest Neighbor
17%
Coverage
16%
Small Sample
16%
Asymptotic Normality
15%
Tail
15%
Linear Model
14%
Simulation Study
12%
Statistics
11%
Observation
11%
Alternatives
10%
Coefficient
8%
Social Sciences
confidence
51%
value theory
21%
normality
19%
simulation
13%
coverage
12%
statistics
12%