Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
IEEE

A Novel Robust Kalman Filter Based on Normal-Bernoulli Distribution for Non-Stationary Heavy-Tailed Measurement Noise

Abstract: In this paper, the state estimation problem with non-stationary heavy-tailed measurement noise (NHMN) is considered. The mixture of two Gaussian distributions, with a Bernoulli random ...
Investopedia

Understanding Ceteris Paribus: Assumptions in Determining Causation

Mary Hall is a editor for Investopedia's Advisor Insights, in addition to being the editor of several books and doctoral papers. Mary received her bachelor's in English from Kent State University with ...
IEEE

Protocol-Based Fault Detection for Discrete Delayed Systems With Missing Measurements: The Uncertain Missing Probability Case

Abstract: This paper is concerned with the protocol-based fault detection problem for a class of discrete systems with mixed time delays and missing measurements under uncertain missing probabilities.