Cover Image

Power-Dominance in Estimation Theory: A Third Pathological Axis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bulusu, Sri Satish Krishna Chaitanya, Sillanpää, Mikko
Format:	Preprint
Published:	2025
Subjects:	Methodology Signal Processing Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Information-Theoretic Bounds and Task-Centric Learning Complexity for Real-World Dynamic Nonlinear Systems
by: Bulusu, Sri Satish Krishna Chaitanya, et al.
Published: (2025)

Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
by: Chen, Wuxia, et al.
Published: (2025)

The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control
by: Machkour, Jasin, et al.
Published: (2021)

Smoothed Robust Phase Retrieval
by: Zheng, Zhong, et al.
Published: (2024)

Estimating Time Delays between Signals under Mixed Noise Influence with Novel Cross- and Bispectral Methods
by: Jurhar, Tin, et al.
Published: (2025)

A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
by: Beisson, Rémi, et al.
Published: (2024)

Offline changepoint localization using a matrix of conformal p-values
by: Dandapanthula, Sanjit, et al.
Published: (2025)

Multiple testing in multi-stream sequential change detection
by: Dandapanthula, Sanjit, et al.
Published: (2025)

Score-Based Quickest Change Detection and Fault Identification for Multi-Stream Signals
by: Chen, Wuxia, et al.
Published: (2025)

Robust Quickest Change Detection in Non-Stationary Processes
by: Hou, Yingze, et al.
Published: (2023)

Parametrically Adaptive Transition Polynomial: a Signed-Parity Continuous-alpha Extension of Kunchenko Stochastic Polynomials
by: Zabolotnii, Serhii
Published: (2026)

Decentralized Conformal Novelty Detection via Quantized Model Exchange
by: Loh, Kyle, et al.
Published: (2026)

G{é}n{é}ration de Matrices de Corr{é}lation avec des Structures de Graphe par Optimisation Convexe
by: Fahkar, Ali, et al.
Published: (2025)

Quickest Change Detection with Cost-Constrained Experiment Design
by: Lubenia, Patrick Vincent N., et al.
Published: (2025)

Generating Correlation Matrices with Graph Structures Using Convex Optimization
by: Fakhar, Ali, et al.
Published: (2025)

A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
by: Li, Gen, et al.
Published: (2024)

Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
by: Liu, Xinyu, et al.
Published: (2024)

Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
by: Liang, Yuchen, et al.
Published: (2025)

Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
by: Moniri, Behrad, et al.
Published: (2024)

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression
by: Szentpéteri, Szabolcs, et al.
Published: (2024)

A non-asymptotic distributional theory of approximate message passing for sparse and robust regression
by: Li, Gen, et al.
Published: (2024)

Time-series Random Process Complexity Ranking Using a Bound on Conditional Differential Entropy
by: Ayers, Jacob, et al.
Published: (2025)

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)

Pi-Change: A Prior-Informed Multiple Change Point Detection Algorithm
by: Jacobs, Jonathon, et al.
Published: (2026)

A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
by: Arabi, Madi, et al.
Published: (2023)

Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
by: Zhang, Tianyu, et al.
Published: (2023)

Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification
by: Ndaoud, Mohamed, et al.
Published: (2024)

Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
by: Liu, Hang, et al.
Published: (2025)

Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)

Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)

Extrapolation in Statistical Learning with Extreme Value Theory
by: Engelke, Sebastian, et al.
Published: (2026)

Causal Discovery in Dynamic Fading Wireless Networks
by: Giwa, Oluwaseyi
Published: (2025)

Gradient-based filtering under misspecification: Stability and error bounds
by: van Heel, Simon Donker, et al.
Published: (2025)

On the Adversarial Robustness of Learning-based Conformal Novelty Detection
by: Zhang, Daofu, et al.
Published: (2025)

Simplicial Gaussian Models: Representation and Inference
by: Marinucci, Lorenzo, et al.
Published: (2025)

Colored Markov Random Fields for Probabilistic Topological Modeling
by: Marinucci, Lorenzo, et al.
Published: (2025)

Graph-Based Prediction Models for Data Debiasing
by: Wu, Dongze, et al.
Published: (2025)

Robust Score-Based Quickest Change Detection
by: Moushegian, Sean, et al.
Published: (2024)

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
by: Katta, Srikar, et al.
Published: (2023)

Statistical Testing on Directed Graphs by Surrogate Data Generation
by: Chan, Chun Hei Michael, et al.
Published: (2026)