Interval Fisher's Discriminant Analysis and Visualisation
Fuente:
arXiv
Saved in:
| Main Authors: | Pinheiro, Diogo, Oliveira, M. Rosário, Kravchenko, Igor, Oliveira, Lina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Location and association measures for interval-valued data based on Mallows' distance
by: Oliveira, M. Rosário, et al.
Published: (2024)
by: Oliveira, M. Rosário, et al.
Published: (2024)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
by: Zhang, Yonghan, et al.
Published: (2025)
by: Zhang, Yonghan, et al.
Published: (2025)
Interpretable Deep Regression Models with Interval-Censored Failure Time Data
by: Yuan, Changhui, et al.
Published: (2025)
by: Yuan, Changhui, et al.
Published: (2025)
Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
by: Wang, Qiaosen, et al.
Published: (2026)
by: Wang, Qiaosen, et al.
Published: (2026)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Query Complexity of Classical and Quantum Channel Discrimination
by: Nuradha, Theshani, et al.
Published: (2025)
by: Nuradha, Theshani, et al.
Published: (2025)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)
by: Shen, Ye, et al.
Published: (2021)
Mean Testing under Truncation beyond Gaussian
by: Wang, Yuhao, et al.
Published: (2026)
by: Wang, Yuhao, et al.
Published: (2026)
On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
by: Sandoval, Ricardo J., et al.
Published: (2026)
by: Sandoval, Ricardo J., et al.
Published: (2026)
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)
by: Chewi, Sinho, et al.
Published: (2026)
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
by: Wibisono, Andre
Published: (2025)
by: Wibisono, Andre
Published: (2025)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
by: Passeggeri, Riccardo, et al.
Published: (2026)
by: Passeggeri, Riccardo, et al.
Published: (2026)
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
by: Carrillo, José A., et al.
Published: (2024)
by: Carrillo, José A., et al.
Published: (2024)
Treatment Effect Estimation with Observational Network Data using Machine Learning
by: Emmenegger, Corinne, et al.
Published: (2022)
by: Emmenegger, Corinne, et al.
Published: (2022)
Quantum Fisher information matrices from Rényi relative entropies
by: Wilde, Mark M.
Published: (2025)
by: Wilde, Mark M.
Published: (2025)
A Geometric Analysis of PCA
by: Hanchi, Ayoub El, et al.
Published: (2025)
by: Hanchi, Ayoub El, et al.
Published: (2025)
Nonparametric Factor Analysis and Beyond
by: Zheng, Yujia, et al.
Published: (2025)
by: Zheng, Yujia, et al.
Published: (2025)
Generalization Analysis for Classification on Korobov Space
by: Liu, Yuqing
Published: (2025)
by: Liu, Yuqing
Published: (2025)
Analysis of Semi-Supervised Learning on Hypergraphs
by: Weihs, Adrien, et al.
Published: (2025)
by: Weihs, Adrien, et al.
Published: (2025)
Optimal Convergence Analysis of DDPM for General Distributions
by: Jiao, Yuchen, et al.
Published: (2025)
by: Jiao, Yuchen, et al.
Published: (2025)
Error Analysis of Discrete Flow with Generator Matching
by: Wan, Zhengyan, et al.
Published: (2025)
by: Wan, Zhengyan, et al.
Published: (2025)
Information-theoretic Generalization Analysis for Expected Calibration Error
by: Futami, Futoshi, et al.
Published: (2024)
by: Futami, Futoshi, et al.
Published: (2024)
Topological Analysis for Detecting Anomalies (TADA) in Time Series
by: Chazal, Frédéric, et al.
Published: (2024)
by: Chazal, Frédéric, et al.
Published: (2024)
Confidence Sequences for Generalized Linear Models via Regret Analysis
by: Clerico, Eugenio, et al.
Published: (2025)
by: Clerico, Eugenio, et al.
Published: (2025)
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
by: Chewi, Sinho, et al.
Published: (2021)
by: Chewi, Sinho, et al.
Published: (2021)
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Algebraic Geometrical Analysis of Metropolis Algorithm When Parameters Are Non-identifiable
by: Nagata, Kenji, et al.
Published: (2024)
by: Nagata, Kenji, et al.
Published: (2024)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
by: Javanmard, Adel, et al.
Published: (2025)
by: Javanmard, Adel, et al.
Published: (2025)
Neural Drift Estimation for Ergodic Diffusions: Non-parametric Analysis and Numerical Exploration
by: Di Gregorio, Simone, et al.
Published: (2025)
by: Di Gregorio, Simone, et al.
Published: (2025)
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
by: Shen, Bo, et al.
Published: (2020)
by: Shen, Bo, et al.
Published: (2020)
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
by: Khellaf, Rémi, et al.
Published: (2024)
by: Khellaf, Rémi, et al.
Published: (2024)
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Transformed $\ell_1$ Regularizations for Robust Principal Component Analysis: Toward a Fine-Grained Understanding
by: Zhao, Kun, et al.
Published: (2025)
by: Zhao, Kun, et al.
Published: (2025)
Similar Items
-
Location and association measures for interval-valued data based on Mallows' distance
by: Oliveira, M. Rosário, et al.
Published: (2024) -
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022) -
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
by: Zhang, Yonghan, et al.
Published: (2025) -
Interpretable Deep Regression Models with Interval-Censored Failure Time Data
by: Yuan, Changhui, et al.
Published: (2025) -
Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
by: Zhang, Yichi, et al.
Published: (2025)