Scientific Research Publishing

Comparative Performance of Propensity Score Methods for Clinical Multi-Group Data: Balancing Confounders and Estimating Treatment Effects ()

1 Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China. 2 School of International Education, Southern Medical University, Guangzhou, China. 3 Guangdong ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...
eLife

Intrinsic dynamic shapes responses to external stimulation in the human brain

This manuscript presents an interesting new framework (VARX) for simultaneously quantifying effective connectivity in brain activity during sensory stimulation and how that brain activity is being ...
syncedreview

Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead of Potential IPO

Beijing, China – April 15, 2025 – In a strategic move that underscores its technological prowess and global ambitions, potentially paving the way for a future IPO, Chinese AI company Zhipu.AI has ...
Business Wire

Earnix Unveils Earnix Copilot to Enhance Productivity and Business Performance with Generative AI

BOSTON--(BUSINESS WIRE)--Earnix, a leading global provider of intelligent decisioning SaaS solutions for regulated industries, today announced the launch of the Earnix Copilot, "Alix." This generative ...
GitHub

Generalized Linear Model?? #218

First off, awesome job so far with deploying MATLAB/Python Code for 1-d SPM. I was reviewing your website for generalized linear model, but there seems to be limited documentation on it, except for an ...
eLife

Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning

This important work by Veneditto and colleagues developed a new modeling approach, called a mixture-of-agent hidden Markov model (MoA-HMM), in which choice behaviors are modeled as transitions between ...
IEEE

Bayes-Optimal Estimation in Generalized Linear Models via Spatial Coupling

Abstract: We consider the problem of signal estimation in a generalized linear model (GLM). GLMs include many canonical problems in statistical estimation, such as linear regression, phase retrieval, ...