A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Commodity correlation isn’t static—and ignoring that can blow up your portfolio. Learn how to track it and adjust your risk ...

Risk Forecasting: Improved correlation forecasts allow for more accurate risk assessments in quantitative risk models, like Value-at-Risk (VaR) and Expected Shortfall (ES).

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Article citations More>> Wei, T. and Simko, V. (2021) R Package “Corrplot”: Visualization of a Correlation Matrix. has been cited by the following article: TITLE: Sampling-Based Approaches to ...

I was thinking of converting my correlation matrix to a distance matrix and use this as an input for the nearest neighbor algorithm. Do you think this is a sensible approach? If so, has anyone of you ...

A predictive statistical correlation and relationship between the wear rate and the hardness was carried out. A linear and quadratic polynomial regression machine learning details of the factors ...