High-order Markov chain models extend the conventional framework by incorporating dependencies that span several previous states rather than solely the immediate past. This extension allows for a ...

Copula models have emerged as a pivotal tool in modern statistical analysis by enabling researchers to disentangle marginal behaviours from their joint dependency structures. This flexibility is ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 45, No. 4 (1996), pp. 407-436 (30 pages) The authors review the applications of generalized linear models to actuarial ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Sometimes the best way to solve a complex problem is to take a page from a children’s book. That’s the lesson Microsoft researchers learned by figuring out how to pack more punch into a much smaller ...

Essentially, a guide wheel is a ball bearing that has a special shaped outer race. The inner and outer races of ball bearings are a framework with a groove for the balls to rest in. Burke explained ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Muscle atrophy is a primary characteristic of both sarcopenia and cachexia, significantly impacting physical function and quality of life. This figure illustrates the multifaceted causes of muscle ...

Opinions expressed by Digital Journal contributors are their own. Generative AI has rapidly become a cornerstone of modern technology, revolutionizing how people interact with data and digital content ...