Pages that link to "Item:Q2932770"
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The following pages link to Non-parametric Estimation of Extreme Risk Measures from Conditional Heavy-tailed Distributions (Q2932770):
Displaying 30 items.
- On the estimation of the functional Weibull tail-coefficient (Q268722) (← links)
- Distributionally robust inference for extreme value-at-risk (Q784395) (← links)
- Conditional marginal expected shortfall (Q826003) (← links)
- Kernel estimation of extreme regression risk measures (Q1697481) (← links)
- Estimation of conditional extreme risk measures from heavy-tailed elliptical random vectors (Q1711567) (← links)
- Extreme M-quantiles as risk measures: from \(L^{1}\) to \(L^{p}\) optimization (Q1715530) (← links)
- Tail variance of portfolio under generalized Laplace distribution (Q1731080) (← links)
- Nonparametric estimation of conditional marginal excess moments (Q2101474) (← links)
- Extreme partial least-squares (Q2111063) (← links)
- Improved inference on risk measures for univariate extremes (Q2170408) (← links)
- ExpectHill estimation, extreme risk and heavy tails (Q2225005) (← links)
- Additive models for extremal quantile regression with Pareto-type distributions (Q2245665) (← links)
- Tail expectile process and risk assessment (Q2278671) (← links)
- On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails (Q2283057) (← links)
- Extreme value estimation of the conditional risk premium in reinsurance (Q2656989) (← links)
- Asymptotic results on marginal expected shortfalls for dependent risks (Q2670113) (← links)
- Extremal quantile autoregression for heavy-tailed time series (Q2674515) (← links)
- Extreme-value based estimation of the conditional tail moment with application to reinsurance rating (Q2682980) (← links)
- Extreme versions of Wang risk measures and their estimation for heavy-tailed distributions (Q2977536) (← links)
- NONPARAMETRIC ESTIMATION OF CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL BASED ON EXTREME VALUE THEORY (Q4599616) (← links)
- (Q5066201) (← links)
- Extreme value inference for quantile regression with varying coefficients (Q5079066) (← links)
- How a probabilistic analogue of the mean value theorem yields stein-type covariance identities (Q5086995) (← links)
- ESTIMATION OF HIGH CONDITIONAL TAIL RISK BASED ON EXPECTILE REGRESSION (Q5152549) (← links)
- Extreme $$L^p$$-quantile Kernel Regression (Q5870997) (← links)
- Asymptotic results on tail moment and tail central moment for dependent risks (Q6198065) (← links)
- Asymptotics of the loss-based tail risk measures in the presence of extreme risks (Q6550185) (← links)
- Probabilistic mean value theorems for conditioned random variables with applications (Q6574602) (← links)
- Reduced-bias estimation of the extreme conditional tail expectation for Box-Cox transforms of heavy-tailed distributions (Q6592804) (← links)
- Estimation of the conditional tail moment for Weibull-type distributions (Q6641040) (← links)