Saved in:
| Main Authors: | Yu, Baichen, Liu, Jin, Wang, Hansheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.16421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
by: Yu, Baichen, et al.
Published: (2026)
by: Yu, Baichen, et al.
Published: (2026)
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
by: Shi, Jiaxin, et al.
Published: (2025)
by: Shi, Jiaxin, et al.
Published: (2025)
Gaussian Mixture Model with Rare Events
by: Li, Xuetong, et al.
Published: (2024)
by: Li, Xuetong, et al.
Published: (2024)
Semiparametric Elliptical Mixture Clustering for High-Dimensional Data
by: Feng, Long, et al.
Published: (2026)
by: Feng, Long, et al.
Published: (2026)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)
by: Korsurat, Suppapat, et al.
Published: (2025)
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)
by: Sottosanti, Andrea, et al.
Published: (2025)
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
by: Jiang, Hansheng, et al.
Published: (2021)
by: Jiang, Hansheng, et al.
Published: (2021)
Privacy-Protected Spatial Autoregressive Model
by: Huang, Danyang, et al.
Published: (2024)
by: Huang, Danyang, et al.
Published: (2024)
Semiparametric Spatial Point Processes
by: Lin, Xindi, et al.
Published: (2024)
by: Lin, Xindi, et al.
Published: (2024)
Semiparametric Causal Mediation Analysis for Linear Models with Non-Gaussian Errors: Applications to Drug Treatment and Social Program Evaluation
by: Kim, Mijeong
Published: (2026)
by: Kim, Mijeong
Published: (2026)
Bayesian Semiparametric Mixture Cure (Frailty) Models
by: Kızılaslan, Fatih, et al.
Published: (2025)
by: Kızılaslan, Fatih, et al.
Published: (2025)
Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)
by: Lu, Hanzhang, et al.
Published: (2026)
Mixture Conditional Regression with Ultrahigh Dimensional Text Data for Estimating Extralegal Factor Effects
by: Shi, Jiaxin, et al.
Published: (2023)
by: Shi, Jiaxin, et al.
Published: (2023)
Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
by: Miao, Xin, et al.
Published: (2025)
by: Miao, Xin, et al.
Published: (2025)
Clustering and Meta-Analysis Using a Mixture of Dependent Linear Tail-Free Priors
by: Flores, Bernardo, et al.
Published: (2024)
by: Flores, Bernardo, et al.
Published: (2024)
Clustered Factor Analysis for Multivariate Spatial Data
by: Jin, Yanxiu, et al.
Published: (2024)
by: Jin, Yanxiu, et al.
Published: (2024)
Single-index Semiparametric Transformation Cure Models with Interval-censored Data
by: Huang, Xiaoru, et al.
Published: (2026)
by: Huang, Xiaoru, et al.
Published: (2026)
A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab
by: Yu, Baichen, et al.
Published: (2024)
by: Yu, Baichen, et al.
Published: (2024)
A Model-Based Clustering Approach for Bounded Data Using Transformation-Based Gaussian Mixture Models
by: Scrucca, Luca
Published: (2024)
by: Scrucca, Luca
Published: (2024)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
A Latent Factor Model for High-Dimensional Binary Data
by: Shi, Jiaxin, et al.
Published: (2024)
by: Shi, Jiaxin, et al.
Published: (2024)
Semiparametric Latent ANOVA Model for Event-Related Potentials
by: Yu, Cheng-Han, et al.
Published: (2023)
by: Yu, Cheng-Han, et al.
Published: (2023)
A Gaussian Sliding Windows Regression Model for Hydrological Inference
by: Schrunner, Stefan, et al.
Published: (2023)
by: Schrunner, Stefan, et al.
Published: (2023)
Semiparametric Efficiency of Residual Correlation Testing under Gaussian Additive Noise Models
by: Tang, Yin, et al.
Published: (2026)
by: Tang, Yin, et al.
Published: (2026)
A Semiparametric Approach for Robust and Efficient Learning with Biobank Data
by: Liu, Molei, et al.
Published: (2024)
by: Liu, Molei, et al.
Published: (2024)
Bias Correction for Semiparametric Regression Models
by: Zhang, Yuming, et al.
Published: (2026)
by: Zhang, Yuming, et al.
Published: (2026)
Variable Selection for Stratified Sampling Designs in Semiparametric Accelerated Failure Time Models with Clustered Failure Times
by: Chen, Ying, et al.
Published: (2025)
by: Chen, Ying, et al.
Published: (2025)
Semiparametric Models for Practice Effects in Longitudinal Cognitive Trajectories: Application to an Aging Cohort Study
by: Xu, Y., et al.
Published: (2025)
by: Xu, Y., et al.
Published: (2025)
A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
by: Wang, Zirui, et al.
Published: (2025)
by: Wang, Zirui, et al.
Published: (2025)
Semiparametric Localized Principal Stratification Analysis with Continuous Strata
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Decoding Neuronal Ensembles from Spatially-Referenced Calcium Traces: A Bayesian Semiparametric Approach
by: D'Angelo, Laura, et al.
Published: (2025)
by: D'Angelo, Laura, et al.
Published: (2025)
Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026)
by: Deng, Yuhao, et al.
Published: (2026)
Semiparametric Joint Modeling to Estimate the Treatment Effect on a Longitudinal Surrogate with Application to Chronic Kidney Disease Trials
by: Wang, Xuan, et al.
Published: (2024)
by: Wang, Xuan, et al.
Published: (2024)
Graph Topic Modeling for Documents with Spatial or Covariate Dependencies
by: Jung, Yeo Jin, et al.
Published: (2024)
by: Jung, Yeo Jin, et al.
Published: (2024)
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
by: Zeng, Zhenghao, et al.
Published: (2025)
by: Zeng, Zhenghao, et al.
Published: (2025)
Nearly Optimal Best Arm Identification for Semiparametric Bandits
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
by: Malsiner-Walli, Gertraud, et al.
Published: (2024)
by: Malsiner-Walli, Gertraud, et al.
Published: (2024)
Deep Semiparametric Partial Differential Equation Models
by: Chen, Ziyuan, et al.
Published: (2025)
by: Chen, Ziyuan, et al.
Published: (2025)
Estimation of Semiparametric Factor Models with Missing Data
by: Zheng, Sijie
Published: (2025)
by: Zheng, Sijie
Published: (2025)
Profiled Transfer Learning for High Dimensional Linear Model
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Similar Items
-
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
by: Yu, Baichen, et al.
Published: (2026) -
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
by: Shi, Jiaxin, et al.
Published: (2025) -
Gaussian Mixture Model with Rare Events
by: Li, Xuetong, et al.
Published: (2024) -
Semiparametric Elliptical Mixture Clustering for High-Dimensional Data
by: Feng, Long, et al.
Published: (2026) -
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)