Investopedia

Monte Carlo Analysis for Investment Risk Assessment

Robert Stammer, CFA, is the former director of investor engagement at CFA Institute and writes on thought leadership in the investment management industry. Charlene Rhinehart is a CPA , CFE, chair of ...
IEEE

Quaternion Dendritic Neuron Model for Multivariate Financial Time Series Prediction

Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results due to their inherent biological dendrite-like nonlinear calculation capabilities. Meanwhile, ...
IEEE

A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding

Abstract: Industrial time series prediction (ITSP) is critical to the predictive maintenance system of modern industry. However, time-varying conditions and complex industrial processes cause the ...
GitHub

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data

Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...
GitHub

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

The code is implemented in Python using the PyTorch framework. DACAD is a PyTorch-based framework for unsupervised domain adaptation in multivariate time series anomaly detection that hsa been ...