In a variety of problems involving models from genetics, latent-class analysis, and missing data, I apply a log-linear model to an indirectly observed frequency table. Current algorithms for ...

Most discussions of ordinal variables in the sociological literature debate the suitability of linear regression and structural equation methods when some variables are ordinal. Largely ignored in ...

An anti-log amplifier design with a temperature-compensation network built around a nearly linear PTC thermistor.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

The draft, circulated along with a consultation note, outlines licensing structures, revenue-sharing models, branding ...

Oracle rallies as it doubles down on AI, cloud and databases. Infosys, on the other hand, announces a ₹18,000-crore buyback.

The big hardware upgrade is the new telephoto camera, which features a 4x / 100mm (equiv.) F2.8 lens. This is a notable ...