Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
Fuente:
arXiv
Saved in:
| Main Authors: | Oh, Seungyeon, Park, Seongoh, Park, Hoyoung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonparametric Mean and Variance Adaptive Classification Rule for High-Dimensional Data with Heteroscedastic Variances
by: Oh, Seungyeon, et al.
Published: (2024)
by: Oh, Seungyeon, et al.
Published: (2024)
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)
by: Zhao, Ruzhang, et al.
Published: (2023)
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)
by: Park, Seeun, et al.
Published: (2024)
A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024)
by: Beraha, Mario, et al.
Published: (2024)
Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)
by: Helm, Hayden S., et al.
Published: (2023)
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)
by: Melikechi, Omar, et al.
Published: (2024)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Post Launch Evaluation of Policies in a High-Dimensional Setting
by: Nassiri, Shima, et al.
Published: (2024)
by: Nassiri, Shima, et al.
Published: (2024)
A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)
by: Muritala, Faruk, et al.
Published: (2026)
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
by: Luo, Nanyu, et al.
Published: (2025)
by: Luo, Nanyu, et al.
Published: (2025)
Group-Aware Matrix Estimation and Latent Subspace Recovery
by: Golubovic, Hamza, et al.
Published: (2026)
by: Golubovic, Hamza, et al.
Published: (2026)
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025)
by: Dou, Baojun, et al.
Published: (2025)
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)
by: Boschi, Martina, et al.
Published: (2025)
CARE: Large Precision Matrix Estimation for Compositional Data
by: Zhang, Shucong, et al.
Published: (2023)
by: Zhang, Shucong, et al.
Published: (2023)
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)
by: Saxena, Manan, et al.
Published: (2024)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)
by: Tsai, Katherine, et al.
Published: (2024)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great Britain
by: Gioia, V., et al.
Published: (2022)
by: Gioia, V., et al.
Published: (2022)
Functional Analysis of Variance for Association Studies
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events
by: Pasche, Olivier C., et al.
Published: (2025)
by: Pasche, Olivier C., et al.
Published: (2025)
Clustering Approaches for Mixed-Type Data: A Comparative Study
by: Ghattas, Badih, et al.
Published: (2025)
by: Ghattas, Badih, et al.
Published: (2025)
Toward Valid Generative Clinical Trial Data with Survival Endpoints
by: Chassat, Perrine, et al.
Published: (2025)
by: Chassat, Perrine, et al.
Published: (2025)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)
by: Gosnell, Arron, et al.
Published: (2024)
Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
by: Chhaibi, Reda, et al.
Published: (2024)
by: Chhaibi, Reda, et al.
Published: (2024)
Data reuse enables cost-efficient randomized trials of medical AI models
by: Nercessian, Michael, et al.
Published: (2025)
by: Nercessian, Michael, et al.
Published: (2025)
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
by: Matabuena, Marcos
Published: (2025)
by: Matabuena, Marcos
Published: (2025)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)
by: Feldman, Joseph, et al.
Published: (2024)
meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis
by: Sutariya, Dishantkumar, et al.
Published: (2025)
by: Sutariya, Dishantkumar, et al.
Published: (2025)
Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring
by: Chen, Ke, et al.
Published: (2025)
by: Chen, Ke, et al.
Published: (2025)
A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
by: Oganisian, Arman, et al.
Published: (2023)
by: Oganisian, Arman, et al.
Published: (2023)
Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
by: Chakrabarti, Arhit, et al.
Published: (2026)
by: Chakrabarti, Arhit, et al.
Published: (2026)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
Similar Items
-
Nonparametric Mean and Variance Adaptive Classification Rule for High-Dimensional Data with Heteroscedastic Variances
by: Oh, Seungyeon, et al.
Published: (2024) -
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023) -
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024) -
A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024) -
Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)