Investopedia

Trading Strategies Using Gaussian Statistical Models

Caroline Banton has 6+ years of experience as a writer of business and finance articles. She also writes biographies for Story Terrace. Carl Friedrich Gauss was a child prodigy and prominent ...
Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
BMJ Open

Association between epidural analgesia experience and future fertility intention in China: a national cross-sectional study

Objectives To assess the association between epidural analgesia (EDA) experience and subsequent fertility intention among ...
IEEE

GRNN-Based Outlier-Robust Parameter Estimation of Compound-Gaussian Sea Clutter With Generalized Inverse Gaussian Textures

Abstract: In this letter, an outlier-robust estimation method using the generalized regression neural network (GRNN) and multiple sample percentiles and truncated moments is proposed to estimate the ...
IEEE

Toward Reliable Probabilistic Robustness: A Nonconservative Uncertainty Bound for Gaussian Processes With Applications to Constrained Motion Control

Abstract: The excessive conservatism in existing uncertainty bounds for Gaussian processes (GPs) significantly restricts the solution space, leading to unreliable probabilistic robustness in practical ...
GitHub

ModalCens: Parametric Modal Regression with Right Censoring

ModalCens is an R package for fitting parametric modal regression models to continuous positive random variables. While traditional Generalized Linear Models (GLMs ...