Description: Regression analysis in multimodal contexts refers to statistical methods used to estimate relationships between variables in datasets that include multiple modalities or types of data. These data can range from text, images, audio, to numerical and categorical data. The main feature of this approach is its ability to integrate and analyze information from different sources, allowing for a richer and more comprehensive understanding of the phenomena studied. Through regression techniques, researchers can identify patterns and correlations that would not be evident when analyzing each modality separately. This type of analysis is especially relevant in a world where data is increasingly diverse and complex, and where informed decisions require a holistic view. Furthermore, multimodal regression analysis can help improve the accuracy of predictions and optimize models in various applications, from artificial intelligence to social and market research.
