Combined Quantile Forecasting for High‐Dimensional Non‐Gaussian Data
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Seeun Park, Hee‐Seok Oh, Yaeji Lim |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)
by: Park, Seeun, et al.
Published: (2024)
Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration
by: Shijie Zhou, et al.
Published: (2025)
by: Shijie Zhou, et al.
Published: (2025)
Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data
by: Mark D. Risser, et al.
Published: (2025)
by: Mark D. Risser, et al.
Published: (2025)
A Spatial and Spatiotemporal Statistical Downscaling Model for Combining Spatially Misaligned Maximum Temperature Data Using R‐INLA
by: Sylvia A. Shawky, et al.
Published: (2025)
by: Sylvia A. Shawky, et al.
Published: (2025)
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data
by: Anabel Blasco‐Moreno, et al.
Published: (2025)
by: Anabel Blasco‐Moreno, et al.
Published: (2025)
Clustering the Nearest Neighbor Gaussian Process
by: Ashlynn Crisp, et al.
Published: (2026)
by: Ashlynn Crisp, et al.
Published: (2026)
Adaptive Now‐ and Forecasting of Global Temperatures Under Smooth Structural Changes
by: Robinson Kruse‐Becher
Published: (2025)
by: Robinson Kruse‐Becher
Published: (2025)
Skew Gaussian Markov Random Fields Under Decomposable Graphs
by: Hamid Zareifard, et al.
Published: (2025)
by: Hamid Zareifard, et al.
Published: (2025)
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices
by: Isabelle Grenier, et al.
Published: (2024)
by: Isabelle Grenier, et al.
Published: (2024)
Simple Yet Effective: A Comparative Study of Statistical Models for Yearly Hurricane Forecasting
by: Pietro Colombo, et al.
Published: (2025)
by: Pietro Colombo, et al.
Published: (2025)
Evaluation of ETAS and STEP Forecasting Models for California Seismicity Using Point Process Residuals
by: Joshua Ward, et al.
Published: (2025)
by: Joshua Ward, et al.
Published: (2025)
XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal
by: Chenglei Hu, et al.
Published: (2026)
by: Chenglei Hu, et al.
Published: (2026)
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression
by: Emrah Gecili, et al.
Published: (2024)
by: Emrah Gecili, et al.
Published: (2024)
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression
by: Matteo Tomasetto, et al.
Published: (2024)
by: Matteo Tomasetto, et al.
Published: (2024)
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy
by: Dáire Healy, et al.
Published: (2025)
by: Dáire Healy, et al.
Published: (2025)
Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables
by: Luigi R. Cirocco, et al.
Published: (2026)
by: Luigi R. Cirocco, et al.
Published: (2026)
On Tail Structural Change in U.S. Climate Data
by: Hanjun Lu, et al.
Published: (2025)
by: Hanjun Lu, et al.
Published: (2025)
Estimating Extreme Wave Surges in the Presence of Missing Data
by: James H. McVittie, et al.
Published: (2025)
by: James H. McVittie, et al.
Published: (2025)
Developments in Functional Regression Model for Network Structured Data
by: Elvira Romano, et al.
Published: (2025)
by: Elvira Romano, et al.
Published: (2025)
Accounting for Missing Data When Modelling Block Maxima
by: Emma S. Simpson, et al.
Published: (2026)
by: Emma S. Simpson, et al.
Published: (2026)
Fuzzy Clustering of Circular Time Series With Applications to Wind Data
by: Ángel López‐Oriona, et al.
Published: (2025)
by: Ángel López‐Oriona, et al.
Published: (2025)
Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data
by: L. Altieri, et al.
Published: (2024)
by: L. Altieri, et al.
Published: (2024)
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data
by: Fabian R. Ketwaroo, et al.
Published: (2024)
by: Fabian R. Ketwaroo, et al.
Published: (2024)
Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score
by: Chiara Di Maria, et al.
Published: (2026)
by: Chiara Di Maria, et al.
Published: (2026)
Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data
by: Magnus Ekström, et al.
Published: (2026)
by: Magnus Ekström, et al.
Published: (2026)
A Modelling Framework for Estimating Underlying Lagged Effects in Aggregated Health Data
by: Theo Economou
Published: (2026)
by: Theo Economou
Published: (2026)
A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures
by: David H. da Matta, et al.
Published: (2026)
by: David H. da Matta, et al.
Published: (2026)
Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions
by: Najmeh Nakhaei Rad, et al.
Published: (2026)
by: Najmeh Nakhaei Rad, et al.
Published: (2026)
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models
by: Thiago A. N. De Andrade, et al.
Published: (2025)
by: Thiago A. N. De Andrade, et al.
Published: (2025)
A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling
by: Christian Caamaño‐Carrillo, et al.
Published: (2025)
by: Christian Caamaño‐Carrillo, et al.
Published: (2025)
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data
by: Nirajan Bam, et al.
Published: (2026)
by: Nirajan Bam, et al.
Published: (2026)
Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model
by: Arnoldus F. Otto, et al.
Published: (2026)
by: Arnoldus F. Otto, et al.
Published: (2026)
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data
by: Zih‐Bing Chen, et al.
Published: (2025)
by: Zih‐Bing Chen, et al.
Published: (2025)
Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data
by: Eamonn Organ, et al.
Published: (2026)
by: Eamonn Organ, et al.
Published: (2026)
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data
by: Marco Mingione, et al.
Published: (2025)
by: Marco Mingione, et al.
Published: (2025)
Learning From Limited Temporal Data: Dynamically Sparse Historical Functional Linear Models With Applications to Earth Science
by: Joseph Janssen, et al.
Published: (2025)
by: Joseph Janssen, et al.
Published: (2025)
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data
by: Josh Jacobson, et al.
Published: (2025)
by: Josh Jacobson, et al.
Published: (2025)
Unified Calibration and Spatial Mapping of Fine Particulate Matter Data From Multiple Low‐Cost Air Pollution Sensor Networks in Baltimore, Maryland
by: Claire Heffernan, et al.
Published: (2026)
by: Claire Heffernan, et al.
Published: (2026)
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions
by: Svetlana Saarela, et al.
Published: (2024)
by: Svetlana Saarela, et al.
Published: (2024)
Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach
by: Brook T. Russell, et al.
Published: (2024)
by: Brook T. Russell, et al.
Published: (2024)
Similar Items
-
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024) -
Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration
by: Shijie Zhou, et al.
Published: (2025) -
Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data
by: Mark D. Risser, et al.
Published: (2025) -
A Spatial and Spatiotemporal Statistical Downscaling Model for Combining Spatially Misaligned Maximum Temperature Data Using R‐INLA
by: Sylvia A. Shawky, et al.
Published: (2025) -
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data
by: Anabel Blasco‐Moreno, et al.
Published: (2025)