The Gordon model allows for the fact that the market might put a price on a stock that's different from what you might estimate using the equation above. A higher stock price than predicted implies a ...

Researchers from Skoltech, the University of Potsdam, and the Massachusetts Institute of Technology have discovered a ...

Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

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 ...

"The pros [of vibe coding] are undeniable if it's used correctly. The key is not to avoid vibe coding, but to apply it intelligently in your enterprise." ...

Figure 2: Maximum likelihood network inferred from the haplotype frequencies reported in Table 1. Three mutually reinforcing mutations, M42, M94 and M139 (two transversions and a 1-bp deletion), ...