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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
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Regression to the Meme? | Truth or Skepticism
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Background Relationships and sex education (RSE) impacts some sexual behaviours but could be strengthened by incorporating ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
Namagwa, S. (2025) Governance, Risk, and Regulation: A Framework for Improving Efficiency in Kenyan Pension Funds. Journal of ...
Optimal cue integration, Bayesian Causal Inference, spatial orienting, speech illusions and other key phenomena in audiovisual perception naturally emerge from the collective behavior of a population ...
Dr. JeFreda R. Brown is a financial consultant, Certified Financial Education Instructor, and researcher who has assisted thousands of clients over a more than two-decade career. She is the CEO of ...
Abstract: Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions, and benefits a variety of ...
Abstract: Symbolic Regression (SR) is a sub-field of machine learning that attempts to find a concise closed-form equation for regression tasks. The main strength of SR is in discovering new equations ...
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