by instadatahelp | Sep 6, 2023 | AI Blogs
On the Relationship Between Distance and Kernel Measures of Conditional Dependence Tianhong Sheng, Bharath K. Sriperumbudur; 24(7):1−16, 2023. Abstract Measuring conditional dependence is a crucial task in statistical inference and plays a fundamental role in various...
by instadatahelp | Sep 6, 2023 | AI Blogs
In the realm of finance, accurately predicting stock market trends has always been a formidable challenge. However, with the emergence of machine learning as a powerful tool for forecasting, this research paper undertakes a comparative analysis of four machine...
by instadatahelp | Sep 6, 2023 | AI Blogs
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu; 24(132):1−57, 2023. Abstract This paper examines the estimation of smooth Generalized Linear Models (GLMs) in the...
by instadatahelp | Sep 6, 2023 | AI Blogs
Sampling Random Graph Homomorphisms and Its Applications in Network Data Analysis Hanbaek Lyu, Facundo Memoli, David Sivakoff; 24(9):1−79, 2023. Abstract A graph homomorphism refers to a mapping between two graphs that preserves adjacency relations. This study focuses...
by instadatahelp | Sep 6, 2023 | AI Blogs
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill; 24(133):1−57, 2023. Abstract This study introduces a novel method for addressing the...
