Predicting rare events using training data from stratified sampling designs, with application to human‐caused wildfire prediction
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Johanna de Haan‐Ward, Douglas G. Woolford, Simon J. Bonner |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A goodness‐of‐fit test for regression models with discrete outcomes
by: Lu Yang, et al.
Published: (2026)
by: Lu Yang, et al.
Published: (2026)
T‐calibration in semi‐parametric models
by: Anja Mühlemann, et al.
Published: (2026)
by: Anja Mühlemann, et al.
Published: (2026)
A framework for incorporating behavioural change into individual‐level spatial epidemic models
by: Madeline A. Ward, et al.
Published: (2024)
by: Madeline A. Ward, et al.
Published: (2024)
Optimal relevant subset designs in nonlinear models
by: Adam Lane
Published: (2025)
by: Adam Lane
Published: (2025)
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling
by: Johanna G. Nešlehová, et al.
Published: (2026)
by: Johanna G. Nešlehová, et al.
Published: (2026)
A new class of asymptotic maximin distance Latin hypercube designs
by: Xinxin Xia, et al.
Published: (2024)
by: Xinxin Xia, et al.
Published: (2024)
Stagewise crop yield prediction with multisource functional indices
by: Jing Zou, et al.
Published: (2026)
by: Jing Zou, et al.
Published: (2026)
On subset least squares estimation and prediction in vector autoregressive models with exogenous variables
by: Pierre Duchesne, et al.
Published: (2025)
by: Pierre Duchesne, et al.
Published: (2025)
Tolerance bands for exponential family functional data
by: Galappaththige S. R. de Silva, et al.
Published: (2024)
by: Galappaththige S. R. de Silva, et al.
Published: (2024)
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models
by: Peng Sun, et al.
Published: (2024)
by: Peng Sun, et al.
Published: (2024)
Estimating the mean squared prediction error of the observed best predictor associated with small area counts: A computationally oriented approach
by: Thuan Nguyen, et al.
Published: (2024)
by: Thuan Nguyen, et al.
Published: (2024)
Correction to “Matching distributions for survival data”
Published: (2025)
Published: (2025)
Partial identification with categorical data and nonignorable missing outcomes
by: Daniel Daly‐Grafstein, et al.
Published: (2026)
by: Daniel Daly‐Grafstein, et al.
Published: (2026)
A partial envelope approach for modelling multivariate spatial‐temporal data
by: Reisa Widjaja, et al.
Published: (2026)
by: Reisa Widjaja, et al.
Published: (2026)
Variable selection in modelling clustered data via within‐cluster resampling
by: Shangyuan Ye, et al.
Published: (2024)
by: Shangyuan Ye, et al.
Published: (2024)
Balanced longitudinal data clustering with a copula kernel mixture model
by: Xi Zhang, et al.
Published: (2025)
by: Xi Zhang, et al.
Published: (2025)
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates
by: Zhaohan Sun, et al.
Published: (2025)
by: Zhaohan Sun, et al.
Published: (2025)
Unified inference for longitudinal/functional data quantile dynamic additive models
by: Qian Huang, et al.
Published: (2025)
by: Qian Huang, et al.
Published: (2025)
A class of directed acyclic graphs with mixed data types in mediation analysis
by: Wei Hao, et al.
Published: (2025)
by: Wei Hao, et al.
Published: (2025)
Bayesian jackknife empirical likelihood‐based inference for missing data and causal inference
by: Sixia Chen, et al.
Published: (2024)
by: Sixia Chen, et al.
Published: (2024)
Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data
by: Qinglong Tian, et al.
Published: (2025)
by: Qinglong Tian, et al.
Published: (2025)
Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning
by: Cole Manschot, et al.
Published: (2025)
by: Cole Manschot, et al.
Published: (2025)
Estimation of the additive hazards model based on case‐cohort interval‐censored data with dependent censoring
by: Yuqing Ma, et al.
Published: (2024)
by: Yuqing Ma, et al.
Published: (2024)
Covariate‐adjusted response‐adaptive randomization in clinical trials using MRI‐derived prognostic features
by: Yuqi Zhang, et al.
Published: (2025)
by: Yuqi Zhang, et al.
Published: (2025)
Regression trees for interval‐censored failure time data based on censoring unbiased transformations and pseudo‐observations
by: Ce Yang, et al.
Published: (2024)
by: Ce Yang, et al.
Published: (2024)
Reweighted penalized regression for convenience samples
by: Zhuoran Zhang, et al.
Published: (2025)
by: Zhuoran Zhang, et al.
Published: (2025)
Semiparametric and parametric distributional forecasting of univariate time series using non‐Gaussian ARMA models based on D‐vines
by: Martin Bladt, et al.
Published: (2025)
by: Martin Bladt, et al.
Published: (2025)
Efficient semiparametric estimation in two‐sample comparison via semisupervised learning
by: Tao Tan, et al.
Published: (2024)
by: Tao Tan, et al.
Published: (2024)
Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models
by: Omar Vazquez, et al.
Published: (2024)
by: Omar Vazquez, et al.
Published: (2024)
Acknowledgement of referees' services remerciements aux membres des jurys
Published: (2024)
Published: (2024)
Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints
by: Rüdiger Frey, et al.
Published: (2025)
by: Rüdiger Frey, et al.
Published: (2025)
A multivariate Poisson model based on a triangular comonotonic shock construction
by: Orla A. Murphy, et al.
Published: (2025)
by: Orla A. Murphy, et al.
Published: (2025)
Nonlinear permuted Granger causality
by: Noah D. Gade, et al.
Published: (2026)
by: Noah D. Gade, et al.
Published: (2026)
Asymptotic independence in more than two dimensions and its implications on risk management
by: Bikramjit Das, et al.
Published: (2025)
by: Bikramjit Das, et al.
Published: (2025)
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
by: Shaun McDonald, et al.
Published: (2025)
by: Shaun McDonald, et al.
Published: (2025)
Issue Information
Published: (2024)
Published: (2024)
True and false discoveries with independent and sequential e‐values
by: Vladimir Vovk, et al.
Published: (2024)
by: Vladimir Vovk, et al.
Published: (2024)
Semiparametric estimation for the functional additive hazards model
by: Meiling Hao, et al.
Published: (2024)
by: Meiling Hao, et al.
Published: (2024)
Bayesian clustering of multivariate extremes
by: Sonia Alouini, et al.
Published: (2026)
by: Sonia Alouini, et al.
Published: (2026)
An SIR‐based Bayesian framework for COVID‐19 infection estimation
by: Haoyu Wu, et al.
Published: (2024)
by: Haoyu Wu, et al.
Published: (2024)
Similar Items
-
A goodness‐of‐fit test for regression models with discrete outcomes
by: Lu Yang, et al.
Published: (2026) -
T‐calibration in semi‐parametric models
by: Anja Mühlemann, et al.
Published: (2026) -
A framework for incorporating behavioural change into individual‐level spatial epidemic models
by: Madeline A. Ward, et al.
Published: (2024) -
Optimal relevant subset designs in nonlinear models
by: Adam Lane
Published: (2025) -
Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling
by: Johanna G. Nešlehová, et al.
Published: (2026)