Copertina

Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Jieun Lee, Myungjin Kim, Yongku Kim, Seung Yeop Yang, Jun‐Yeong Lee, Semin Oh, Seongjun Byun, Young Ho Kim, Ye Eun Park
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
Soggetti:	Stat
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence
di: Jung‐In Seo, et al.
Pubblicazione: (2026)

Bayesian Functional Region Selection
di: Hongxiao Zhu, et al.
Pubblicazione: (2025)

Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution
di: Byungtae Seo, et al.
Pubblicazione: (2024)

Ordered probit Bayesian additive regression trees for ordinal data
di: Jaeyong Lee, et al.
Pubblicazione: (2024)

A novel time‐varying coefficient Poisson difference model driven by observation
di: Ye Liu, et al.
Pubblicazione: (2024)

Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective
di: Haifan Xie, et al.
Pubblicazione: (2024)

Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics
di: Dahun Seo, et al.
Pubblicazione: (2024)

General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models
di: Shun Matsuura, et al.
Pubblicazione: (2024)

Stagewise Boosting Distributional Regression
di: Mattias Wetscher, et al.
Pubblicazione: (2025)

Oceanographic parameters for the sample stations of the cruise AT004
di: Hasenbein, Simone, et al.
Pubblicazione: (2024)

Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data
di: Pei‐Sheng Lin, et al.
Pubblicazione: (2024)

Highly private large‐sample tests for contingency tables
di: Seung Woo Kwak, et al.
Pubblicazione: (2024)

Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion
di: Lianyong Qian, et al.
Pubblicazione: (2025)

An Ordinal Collaboration Network Model With Zero Truncated Poisson Latent Variables and Its Application
di: Yang Qi, et al.
Pubblicazione: (2025)

Subgroup Testing in Threshold Quantile Regression Model
di: Zun Wang, et al.
Pubblicazione: (2026)

Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data
di: Joyee Ghosh, et al.
Pubblicazione: (2025)

Oceanographic parameters for the sample stations of the cruise AT010
di: Hasenbein, Simone, et al.
Pubblicazione: (2025)

High‐Dimensional Regression With Missing Data: An Asymptotic Study
di: Yue Xing, et al.
Pubblicazione: (2025)

Group Transfer Learning for High‐Dimensional Linear Regression
di: Chen Chen, et al.
Pubblicazione: (2025)

Low‐Rank Approximation of Gaussian Process With Normal‐Gamma Prior
di: Youjie Zeng, et al.
Pubblicazione: (2025)

Bayesian Adaptive Polynomial Chaos Expansions
di: Kellin N. Rumsey, et al.
Pubblicazione: (2026)

A Functional Linear Regression for High‐Resolution 3D Faces
di: Hyun Bin Kang, et al.
Pubblicazione: (2024)

Mixture of Partially Linear Experts
di: Yeongsan Hwang, et al.
Pubblicazione: (2025)

Development of network‐guided transcriptomic risk score for disease prediction
di: Xuan Cao, et al.
Pubblicazione: (2024)

Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE
di: Jing Liu, et al.
Pubblicazione: (2026)

Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference
di: Niloofar Ramezani, et al.
Pubblicazione: (2025)

Power Enhancement Test on High‐Dimensional Regression Coefficients of Partially Linear Models
di: Yun Ma, et al.
Pubblicazione: (2026)

Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach
di: Anand Dixit, et al.
Pubblicazione: (2025)

Grain size distribution for sediment samples of the cruise AT004
di: Wippermann, Dominik, et al.
Pubblicazione: (2024)

Reducing the statistical error of generative adversarial networks using space‐filling sampling
di: Sumin Wang, et al.
Pubblicazione: (2024)

A New Method for Regression Analysis of Case–Cohort Interval‐Censored Failure Time Data
di: Ruobing Jia, et al.
Pubblicazione: (2024)

Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies
di: Haiyu Niu, et al.
Pubblicazione: (2024)

Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning
di: Kejie Tang, et al.
Pubblicazione: (2025)

Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables
di: Han Li, et al.
Pubblicazione: (2025)

Nitrous oxide (N2O) measurements in the surface water of the Elbe Estuary in 2015
di: Brase, Lisa, et al.
Pubblicazione: (2017)

Alkalinity and DIC data in water samples from the Alps and Germany collected in 2020
di: Lehmann, Nele, et al.
Pubblicazione: (2021)

A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model
di: John Park, et al.
Pubblicazione: (2025)

Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach
di: Masoud Muhammed Hassan
Pubblicazione: (2024)

Controllable RANSAC‐Based Anomaly Detection via Hypothesis Testing
di: Le Hong Phong, et al.
Pubblicazione: (2025)

Does a Large Language Model Really Speak in Human‐Like Language?
di: Mose Park, et al.
Pubblicazione: (2025)