Papers statistical independence testing
“statistical independence testing” 태그가 달린 논문 6편 · 필터 해제
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
Edge detection is crucial in image processing, but existing methods often produce overly detailed edge maps, affecting clarity. Fixed-window statistical testing faces issues like scale mismatch and computational redundan…
DenoisingEdge DetectionImage Denoisingstatistical independence testingEnabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
Post-nonlinear (PNL) causal models stand out as a versatile and adaptable framework for modeling intricate causal relationships. However, accurately capturing the invertibility constraint required in PNL models remains c…
Causal Discoverystatistical independence testingNeural Feature Learning in Function Space
We present a novel framework for learning system design with neural feature extractors. First, we introduce the feature geometry, which unifies statistical dependence and feature representations in a function space equip…
Density Ratio EstimationLearning Semantic RepresentationsRepresentation Learningstatistical independence testingA Model-Based Approach for Flight Delay Prediction
Flight delays incur costs directly and indirectly, such as for maintaining crowd at the gate, extra remuneration for staff, food service, and lodging. The delayed arrival of aircraft will have significant impact on an ai…
ClassificationClusteringManagementmodel+5A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
Conditional independence (CI) tests underlie many approaches to model testing and structure learning in causal inference. Most existing CI tests for categorical and ordinal data stratify the sample by the conditioning va…
Causal Inferencestatistical independence testingcopent: Estimating Copula Entropy and Transfer Entropy in R
Statistical independence and conditional independence are two fundamental concepts in statistics and machine learning. Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independe…
BIG-bench Machine LearningCausal DiscoveryMutual Information Estimationstatistical independence testing+1