:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Hyemin, Kim, Dohee, So, Banghee, Ahn, Jae Youn
Format:	Preprint
Published:	2026
Subjects:	Applications
Online Access:	https://arxiv.org/abs/2602.02398
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Observation-Driven State-Space Model for Claims Size Modeling
by: Ahn, Jae Youn, et al.
Published: (2024)

State-Space Representation of INGARCH Models and Their Application in Insurance
by: Ahn, Jae Youn, et al.
Published: (2025)

Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
by: So, Banghee
Published: (2023)

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

Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
by: Hamaya, Rikuta, et al.
Published: (2025)

Linear quadratic zero‐sum game for time‐delayed uncertain stochastic systems
by: Xin Chen, et al.
Published: (2024)

A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)

On the misuse of time-dependent models in assessing mask usage and excess mortality
by: Spira, Beny, et al.
Published: (2026)

Reachable set estimation of delayed Markovian jump neural networks based on an augmented zero equality approach
by: S. H. Kim, et al.
Published: (2024)

On the unification of zero-adjusted cure survival models
by: Louzada, Francisco, et al.
Published: (2019)

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

Introducing shrinkage in heavy-tailed state space models to predict equity excess returns
by: Huber, Florian, et al.
Published: (2018)

Measurement That Matches Theory: Theory-Driven Identification in IRT Models
by: Morucci, Marco, et al.
Published: (2021)

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand: Addendum
by: Plank, Michael J., et al.
Published: (2025)

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

Uncertainty quantification for seismic response using dimensionality reduction-based stochastic simulator
by: Kim, Jungho, et al.
Published: (2024)

Modeling zero-inflated precipitation extremes
by: Abbas, Aamar, et al.
Published: (2025)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
by: Lee, JoonHo
Published: (2026)

Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
by: So, Banghee, et al.
Published: (2024)

Unraveling stochastic fundamental diagrams considering empirical knowledge: modeling, limitation and further discussion
by: Lei, Yuan-Zheng, et al.
Published: (2024)

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

Zipf-Mandelbrot Scaling in Korean Court Music: Universal Patterns in Music
by: Choi, Byeongchan, et al.
Published: (2026)

Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand
by: Plank, Michael John, et al.
Published: (2024)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

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

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

Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
by: Romanò, Giovanni, et al.
Published: (2025)

Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
by: Lu, Chaoyi, et al.
Published: (2024)

An Empirical Method for Analyzing Count Data
by: Sun, Jiren, et al.
Published: (2026)

Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)

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

A Novel Interpretable Fusion Analytic Framework for Investigating Functional Brain Connectivity Differences in Cognitive Impairments
by: Jeon, Yeseul, et al.
Published: (2024)

A new stochastic diffusion process to model and predict electricity production from natural gas sources in the United States
by: Alsheyab, Safa'
Published: (2025)

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

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

Partially stochastic deep learning with uncertainty quantification for model predictive heating control
by: Hannula, Emma, et al.
Published: (2025)

Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
by: Lin, Kevin Z, et al.
Published: (2024)

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
by: Drennan, Avery, et al.
Published: (2025)

Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)

Reliability of stochastic capacity estimates
by: Mikolasek, Igor
Published: (2026)