@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } The ...
Abstract: In many communication scenarios, the communication signals are contaminated by both Non-Gaussian impulsive noise (IN) with memory and white Gaussian noise (WGN), i.e., bursty mixed ...
This repository contains an implementation of anomaly detection using the Gaussian distribution model. Anomaly detection is a method used to identify outliers or anomalies in data that deviate ...
Abstract: In this paper, we present a novel federated soft clustering method for unsupervised clustering of data and classification, termed Evolving Federated Gaussian clustering (eFedGauss). There is ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
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