Pages that link to "Item:Q5254953"
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The following pages link to Likelihood-Based Inference for Max-Stable Processes (Q5254953):
Displaying 50 items.
- Estimation and uncertainty quantification for extreme quantile regions (Q73765) (← links)
- A hierarchical max-stable spatial model for extreme precipitation (Q98949) (← links)
- A flexible dependence model for spatial extremes (Q256468) (← links)
- Extremes on river networks (Q262381) (← links)
- A characterization of the normal distribution using stationary max-stable processes (Q262526) (← links)
- Likelihood estimators for multivariate extremes (Q262538) (← links)
- Approximate Bayesian computation with composite score functions (Q294244) (← links)
- Non-stationary dependence structures for spatial extremes (Q321454) (← links)
- Anisotropic Brown-Resnick space-time processes: estimation and model assessment (Q347148) (← links)
- Extreme dependence models based on event magnitude (Q391856) (← links)
- Max-stable processes for modeling extremes observed in space and time (Q395885) (← links)
- Approximate Bayesian computing for spatial extremes (Q434906) (← links)
- Upper bounds on value-at-risk for the maximum portfolio loss (Q482076) (← links)
- Conditional sampling for max-stable processes with a mixed moving maxima representation (Q483523) (← links)
- A hierarchical model for serially-dependent extremes: a study of heat waves in the western US (Q486166) (← links)
- CRPS M-estimation for max-stable models (Q488104) (← links)
- Geostatistics of dependent and asymptotically independent extremes (Q500745) (← links)
- Conditional extremes from heavy-tailed distributions: an application to the estimation of extreme rainfall return levels (Q549644) (← links)
- Asymptotic models and inference for extremes of spatio-temporal data (Q650739) (← links)
- Spatial modeling of extreme snow depth (Q652338) (← links)
- Multivariate extreme models based on underlying skew-\(t\) and skew-normal distributions (Q716176) (← links)
- Estimation of spatial max-stable models using threshold exceedances (Q892811) (← links)
- Comparison of non-nested models under a general measure of distance (Q899371) (← links)
- Reliable inference for complex models by discriminative composite likelihood estimation (Q901279) (← links)
- Storm processes and stochastic geometry (Q906626) (← links)
- Simultaneous adjustment of bias and coverage probabilities for confidence intervals (Q1615207) (← links)
- Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
- Composite likelihood inference by nonparametric saddlepoint tests (Q1623655) (← links)
- A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
- Spatial risk measures and applications to max-stable processes (Q1692083) (← links)
- A comparison of dependence function estimators in multivariate extremes (Q1703851) (← links)
- Geometric ergodicity for some space-time max-stable Markov chains (Q1726762) (← links)
- Multivariate extreme value copulas with factor and tree dependence structures (Q1744180) (← links)
- ABC model selection for spatial extremes models applied to south Australian maximum temperature data (Q1796940) (← links)
- Exploration and inference in spatial extremes using empirical basis functions (Q2009121) (← links)
- Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570) (← links)
- A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
- Principal component analysis for multivariate extremes (Q2044326) (← links)
- Semiparametric estimation for space-time max-stable processes: an \(F\)-madogram-based approach (Q2046292) (← links)
- Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes (Q2054519) (← links)
- A horse race between the block maxima method and the peak-over-threshold approach (Q2075692) (← links)
- Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785) (← links)
- Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
- Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude (Q2135353) (← links)
- Modeling spatial extremes using normal mean-variance mixtures (Q2135577) (← links)
- Consistency of Bayesian inference for multivariate max-stable distributions (Q2148985) (← links)
- Approximate Bayesian inference for analysis of spatiotemporal flood frequency data (Q2154186) (← links)
- Continuous simulation of storm processes (Q2158809) (← links)
- Asymmetric tail dependence modeling, with application to cryptocurrency market data (Q2170437) (← links)
- Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool (Q2195748) (← links)
