Copertina

Modeling zero-inflated precipitation extremes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Abbas, Aamar, Ahmad, Touqeer, Ahmad, Ishfaq
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Flexible model for varying levels of zeros and outliers in count data
di: Ahmad, Touqeer, et al.
Pubblicazione: (2025)

Space time modeling for drought classification and prediction
di: Ahmad, Touqeer, et al.
Pubblicazione: (2025)

A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data
di: Hussain, Abid, et al.
Pubblicazione: (2025)

Order of Addition in Orthogonally Blocked Mixture and Component-Amount Designs
di: Hasan, Taha, et al.
Pubblicazione: (2024)

Exponentially weighted moving average chart using zero-inflated negative binomial distribution
di: Abbas, Ali, et al.
Pubblicazione: (2025)

Dynamic Modeling of LLC Resonant Converter Using Extracted Two‐Harmonic Approximation and Comparative Analysis With Other Approaches
di: Ahmad Abbasi, et al.
Pubblicazione: (2024)

Zero-inflated stochastic volatility model for disaggregated inflation data with exact zeros
di: Han, Geonhee, et al.
Pubblicazione: (2024)

Bayesian clustering of multiple zero-inflated outcomes
di: Franzolini, Beatrice, et al.
Pubblicazione: (2022)

Fault‐Tolerant Control of BLDC Motors: Fault‐Tolerant Control Methodology for Hall‐Effect Sensor Fault Detection and Energy Efficiency Optimization
di: Asad Ullah, et al.
Pubblicazione: (2025)

Seasonal trend assessment of US extreme precipitation via changepoint segmentation
di: Lee, Jaechoul, et al.
Pubblicazione: (2025)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
di: Xu, Zichun, et al.
Pubblicazione: (2026)

Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
di: Douwes-Schultz, Dirk, et al.
Pubblicazione: (2024)

Non-stationarities in extreme hourly precipitation over the Piave Basin, northern Italy
di: Healy, Dáire, et al.
Pubblicazione: (2025)

Pattern change of precipitation extremes in Bear Island
di: Ray, Arnob, et al.
Pubblicazione: (2023)

A lightweight framework for characterising extreme precipitation events in climate ensembles
di: Healy, Dáire, et al.
Pubblicazione: (2026)

Small area estimation of forest biomass via a two-stage model for continuous zero-inflated data
di: White, Grayson W., et al.
Pubblicazione: (2024)

A Bayesian Additive Regression Trees Model for zero and one inflated data for Predicting Individual Treatment Effects in Alcohol Use Disorder Trials
di: Solano, Pamela, et al.
Pubblicazione: (2025)

Multi-objective Bayesian optimization for blocking in extreme value analysis and its application in additive manufacturing
di: Irfan, Shehzaib, et al.
Pubblicazione: (2025)

Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
di: White, Grayson W., et al.
Pubblicazione: (2025)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
di: Liu, Xueqing, et al.
Pubblicazione: (2023)

Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
di: Kuha, Jouni, et al.
Pubblicazione: (2021)

Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
di: Vandeskog, Silius M., et al.
Pubblicazione: (2023)

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
di: Liu, Xueqing, et al.
Pubblicazione: (2023)

Deep Learning‐Based Spatial Pattern Modeling for Land Use and Land Cover Classification Using Satellite Imagery
di: Mehrez Marzougui, et al.
Pubblicazione: (2025)

Model-assisted estimation for MRV: How to boost the economics of SOC sequestration projects without compromising on scientific integrity
di: Awad, Ahmad, et al.
Pubblicazione: (2025)

Seasonal bias-correction of daily precipitation over France using a stitch model designed for robust extremes representation
di: Philippe, Ear, et al.
Pubblicazione: (2025)

Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas
di: Funk, Henri, et al.
Pubblicazione: (2024)

An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
di: Ahmad, Mohammad Al-Sayed, et al.
Pubblicazione: (2024)

Regime Identification for Improving Causal Analysis in Non-stationary Timeseries
di: Ahmad, Wasim, et al.
Pubblicazione: (2024)

Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization
di: Aziz, Ishfaq, et al.
Pubblicazione: (2024)

Quantifying resilience for distribution system customers with SALEDI
di: Ahmad, Arslan, et al.
Pubblicazione: (2026)

Joint Object Tracking and Intent Recognition
di: Liang, Jiaming, et al.
Pubblicazione: (2023)

Modelling non-stationarity in asymptotically independent extremes
di: Murphy-Barltrop, C. J. R., et al.
Pubblicazione: (2022)

Zero-inflated modeling with smoothing on counting tensors
di: Tuzhilina, Elena, et al.
Pubblicazione: (2026)

A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts
di: Xu, Mingchi, et al.
Pubblicazione: (2023)

A Structure-Preserving Assessment of VBPBB for Time Series Imputation Under Periodic Trends, Noise, and Missingness Mechanisms
di: Ahmad, Asmaa, et al.
Pubblicazione: (2025)

Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes
di: Koh, Jonathan, et al.
Pubblicazione: (2024)

Zero-inflated binary Tree Pólya splitting regression for multivariate count data
di: Moudjieu, Fabrice, et al.
Pubblicazione: (2026)

Probabilistic forecasting of weather-driven faults in electricity networks: a flexible approach for extreme and non-extreme events
di: Maia, Mateus, et al.
Pubblicazione: (2026)

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
di: Ahmad, Owais, et al.
Pubblicazione: (2025)