Can discretely sampled financial data help us decide which continuous-time models are sensible? Diffusion processes are characterized by the continuity of their sample paths. This cannot be verified ...

The design philosophy of Lumos-1 is to utilize the native LLM architecture as much as possible, making only minimal modifications to enable the language model to 'learn' video generation. We primarily ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

We consider the problem of jointly estimating a collection of graphical models for discrete data, corresponding to several categories that share some common structure. An example for such a setting is ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into ...

Research shows that digital transformation is the primary driver of automation technology spending across the discrete, batch, and continuous process industries. But which technologies get the most ...

As America’s healthcare system continues to evolve, it is critical that our perception of care and its value to patients evolve with it. In the past, value assessments have marginalized patients’ ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...