On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit

The Kolmogorov–Smirnov (KS) test is widely employed to assess the goodness-of-fit of a hypothesized continuous distribution to a sample. Despite its popularity, the test is frequently misused in …

Transfer Learning with Large-Scale Quantile Regression

Quantile regression is increasingly encountered in modern big data applications due to its robustness and flexibility. We consider the scenario of learning the conditional quantiles of a specific t…

Online Updating of Survival Analysis

When large amounts of survival data arrive in streams, conventional estimation methods become computationally infeasible since they require access to all observations at each accumulation point. We…

The Leverage Effect Puzzle under Semi-nonparametric Stochastic Volatility Models

This article extends the solution proposed by Aït-Sahalia, Fan, and Li for the leverage effect puzzle, which refers to a fact that empirical correlation between daily asset returns and the changes…

Neural Graph Matching Network : Learning Lawler’s Quadratic Assignment Prob…

Graph matching involves combinatorial optimization based on edge-to-edge affinity matrix, which can be generally formulated as Lawler's quadratic assignment problem (QAP). This paper presents a QAP…

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths o…

This paper addresses the problem of multiple graph matching (MGM) by considering both offline batch mode and online setting. We explore the concept of cycle-consistency over pairwise matchings and …

Toward Optimal Fingerprinting in Detection and Attribution of Changes in Clim…

Detection and attribution of climate change plays a central role in establishing the causal relationship between the observed changes in the climate and their possible causes. Optimal fingerprintin…

BlockQNN : Efficient Block-Wise Neural Network Architecture Generation

Using fuzzy logic : towards intelligent systems