Image de couverture de livre

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Faymonville, Maxime, Jentsch, Carsten
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Semi-parametric goodness-of-fit testing for INAR models
par: Faymonville, Maxime, et autres
Publié: (2024)

Predictive inference for discrete-valued time series
par: Faymonville, Maxime, et autres
Publié: (2025)

spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models
par: Faymonville, Maxime, et autres
Publié: (2024)

On inference in parametric survival data models
par: Hjort, Nils Lid
Publié: (2026)

Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
par: Chen, Hanxiao, et autres
Publié: (2026)

Cheap Subsampling bootstrap confidence intervals for fast and robust inference
par: Ohlendorff, Johan Sebastian, et autres
Publié: (2025)

SAR models with specific spatial coefficients and heteroskedastic innovations
par: Cruz, N. A., et autres
Publié: (2025)

Online robust estimation and bootstrap inference for function-on-scalar regression
par: Cheng, Guanghui, et autres
Publié: (2024)

Generative modeling for the bootstrap
par: Tran, Leon, et autres
Publié: (2026)

Robust semi-parametric mixtures of linear experts using the contaminated Gaussian distribution
par: Mambondimumwe, Peterson, et autres
Publié: (2026)

Post-selection inference in generalized linear models via parametric programming
par: Shen, Qinyan, et autres
Publié: (2026)

A Class of Higher-Order INAR Random Fields for Poisson Counts and Beyond
par: Weiß, Christian H., et autres
Publié: (2026)

A Bayesian semi-parametric model for longitudinal growth and appetite phenotypes in children
par: Cremaschi, Andrea, et autres
Publié: (2025)

Non-parametric Bayesian inference via loss functions under model misspecification
par: Luo, Yu, et autres
Publié: (2021)

Microbial correlation: a semi-parametric model for investigating microbial co-metabolism
par: Shi, Haoran, et autres
Publié: (2025)

Inference for bivariate extremes via a semi-parametric angular-radial model
par: Murphy-Barltrop, Callum John Rowlandson, et autres
Publié: (2024)

Reliable fairness auditing with semi-supervised inference
par: Gao, Jianhui, et autres
Publié: (2025)

Non-parametric inference on calibration of predicted risks
par: Sadatsafavi, Mohsen, et autres
Publié: (2023)

A new coefficient of separation
par: Fuchs, Sebastian, et autres
Publié: (2025)

Continuous-time modeling and bootstrap for Schnieper's reserving
par: Baradel, Nicolas
Publié: (2026)

Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models
par: Kim, Younghoon, et autres
Publié: (2025)

Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
par: Armillotta, Mirko, et autres
Publié: (2023)

An alternative bootstrap procedure for factor-augmented regression models
par: Jiang, Peiyun, et autres
Publié: (2025)

Continuous-time modeling and bootstrap for chain-ladder reserving
par: Baradel, Nicolas
Publié: (2024)

Estimating treatment effects with a unified semi-parametric difference-in-differences approach
par: Thome, Julia C., et autres
Publié: (2025)

Semi-parametric Bayesian inference under Neyman orthogonality
par: Sabbagh, Magid, et autres
Publié: (2026)

Joint mixed-effects models for causal inference in clustered network-based observational studies
par: McNealis, Vanessa, et autres
Publié: (2024)

Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
par: López-Cheda, Ana, et autres
Publié: (2024)

Spectral analysis for the inference of noisy Hawkes processes
par: Bonnet, Anna, et autres
Publié: (2024)

Bayesian inference on Cox regression models using catalytic prior distributions
par: Li, Weihao, et autres
Publié: (2023)

Conditional bootstrap for non-linear mixed effects models
par: Kaisaridi, Sofia, et autres
Publié: (2026)

Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
par: Karmakar, Barin, et autres
Publié: (2025)

Objective Bayesian inference for the Dhillon distribution
par: Ramos, Pedro Luiz, et autres
Publié: (2025)

Hidden semi-Markov models with inhomogeneous state dwell-time distributions
par: Koslik, Jan-Ole
Publié: (2024)

Calibrated inference: statistical inference that accounts for both sampling uncertainty and distributional uncertainty
par: Jeong, Yujin, et autres
Publié: (2022)

Robust inference for linear regression models with possibly skewed error distribution
par: Nandy, Amarnath, et autres
Publié: (2024)

Semi-parametric inference based on adaptively collected data
par: Lin, Licong, et autres
Publié: (2023)

Posterior risk of modular and semi-modular Bayesian inference
par: Frazier, David T., et autres
Publié: (2023)

Approximate Shapley value estimation using sampling without replacement and variance estimation via the new Symmetric bootstrap and the Doubled half bootstrap
par: Aanes, Fredrik Lohne
Publié: (2026)

Prenatal alcohol exposure and child cognition: semi-continuous exposures, causal inference and evidence synthesis
par: Wang, Xiaoya, et autres
Publié: (2025)