Copertina

Efficient posterior sampling for high-dimensional imbalanced logistic regression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sen, Deborshee, Sachs, Matthias, Lu, Jianfeng, Dunson, David
Natura:	Preprint
Pubblicazione:	2019
Soggetti:	Methodology Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Scalable Bayesian inference for time series via divide-and-conquer
di: Ou, Rihui, et al.
Pubblicazione: (2021)

Posterior Projection for Inference in Constrained Spaces
di: Astfalck, Lachlan, et al.
Pubblicazione: (2018)

Marginally interpretable spatial logistic regression with bridge processes
di: Lee, Changwoo J., et al.
Pubblicazione: (2024)

Factor pre-training in Bayesian multivariate logistic models
di: Mauri, Lorenzo, et al.
Pubblicazione: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
di: Tang, Yiqi, et al.
Pubblicazione: (2025)

Inference on covariance structure in high-dimensional multi-view data
di: Mauri, Lorenzo, et al.
Pubblicazione: (2025)

Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
di: Tang, Tao, et al.
Pubblicazione: (2025)

Estimating equations for survival analysis with pooled logistic regression
di: Zivich, Paul N, et al.
Pubblicazione: (2025)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
di: Datta, Jyotishka, et al.
Pubblicazione: (2023)

Spatial meshing for general Bayesian multivariate models
di: Peruzzi, Michele, et al.
Pubblicazione: (2022)

penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
di: Djordjilović, Vera, et al.
Pubblicazione: (2024)

A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
di: Junior, Gilberto P. Alcântara, et al.
Pubblicazione: (2024)

The MELODIC family for simultaneous binary logistic regression in a reduced space
di: de Rooij, Mark, et al.
Pubblicazione: (2021)

Generalised logistic regression with vine copulas
di: Haff, Ingrid Hobæk, et al.
Pubblicazione: (2024)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
di: Bsila, Chadi, et al.
Pubblicazione: (2025)

Scalable and robust regression models for continuous proportional data
di: Lee, Changwoo J., et al.
Pubblicazione: (2025)

Bayesian High-dimensional Grouped-regression using Sparse Projection-posterior
di: Pal, Samhita, et al.
Pubblicazione: (2024)

Discriminative classification with generative features: bridging Naive Bayes and logistic regression
di: Terner, Zachary, et al.
Pubblicazione: (2025)

Inference in high-dimensional logistic regression under tensor network dependence
di: Miles, Josh, et al.
Pubblicazione: (2026)

Adaptive group-regularized logistic elastic net regression
di: Münch, Magnus M., et al.
Pubblicazione: (2018)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
di: Ascolani, Filippo, et al.
Pubblicazione: (2025)

Bayesian changepoint detection via logistic regression and the topological analysis of image series
di: Thomas, Andrew M., et al.
Pubblicazione: (2024)

Credible rectangles for high-dimensional posterior comparison
di: Chevaux, Alice, et al.
Pubblicazione: (2026)

Spectral decomposition-assisted multi-study factor analysis
di: Mauri, Lorenzo, et al.
Pubblicazione: (2025)

Nearest Neighbor Dirichlet Mixtures
di: Chattopadhyay, Shounak, et al.
Pubblicazione: (2020)

Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
di: Lu, Yujing, et al.
Pubblicazione: (2025)

An efficient tensor regression for high-dimensional data
di: Si, Yuefeng, et al.
Pubblicazione: (2022)

A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
di: Chakraborty, Saptarshi, et al.
Pubblicazione: (2024)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
di: Chandra, Noirrit Kiran, et al.
Pubblicazione: (2023)

Statistical inference for high-dimensional convoluted rank regression
di: Cai, Leheng, et al.
Pubblicazione: (2024)

Decorrelated forward regression for high dimensional data analysis
di: Jiang, Xuejun, et al.
Pubblicazione: (2024)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
di: Peruzzi, Michele, et al.
Pubblicazione: (2021)

Efficient rare event estimation for multimodal and high-dimensional system reliability via subset adaptive importance sampling
di: Helal, Sara, et al.
Pubblicazione: (2025)

Infinite joint species distribution models
di: Stolf, Federica, et al.
Pubblicazione: (2024)

Bayesian Clustering via Fusing of Localized Densities
di: Dombowsky, Alexander, et al.
Pubblicazione: (2023)

Product Centered Dirichlet Processes for Bayesian Multiview Clustering
di: Dombowsky, Alexander, et al.
Pubblicazione: (2023)

Targeted empirical Bayes for more supervised joint factor analysis
di: Palmer, Glenn, et al.
Pubblicazione: (2025)

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
di: Lu, Xin, et al.
Pubblicazione: (2023)

Scalable Bayesian inference on high-dimensional multivariate linear regression
di: Cao, Xuan, et al.
Pubblicazione: (2025)

Robust and consistent model evaluation criteria in high-dimensional regression
di: Kurata, Sumito, et al.
Pubblicazione: (2024)