International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
IEEE

Analysis of Neural Network Algorithm in Comparison to Multiple Linear Regression and Random Forest Algorithm

Abstract: Regression analysis, a stalwart in statistical methodology, offers a robust framework for predicting outcomes based on historical data. It hinges on the premise that by scrutinizing past ...
Scientific Research Publishing

Gebka, B. (2013). The Non-Linear and Linear Impact of Investor Sentiment on Stock Returns: An Empirical Analysis of the US Market. In Recent Advances in Estimating Nonlinear ...

ABSTRACT: Our study focused on daily data from the Regional Stock Exchange (BRVM) covering the period from 4 January 2014 to 26 February 2025. We selected five indices, including the two main indices ...