Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...

Abstract: Stochastic uncertainty, comprising both aleatory and epistemic uncertainties, is intrinsic in the distributed generation (DG). However, existing distribution system state estimation (DSSE) ...

Abstract: FSO is a technology utilizing LOS methodlogy, used for both indoor and outdoor application. Utilizing unexploited optical spectrum, it can solve the bottleneck broadband connectivity problem ...

Good management of aid projects in developing countries reduces violence in those areas—but poorly managed projects increase the chances of local violence, according to a new study by an MIT economist ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

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 ...

The nonextensive statistical mechanics proposed by Tsallis is today an intense and growing research field. Probability distributions which emerges from the nonextensive formalism(q-distributions) have ...

We’ve trapped AI in a Turing test, measuring it by how well it imitates us instead of how much it reveals beyond us.

In certain circumstances, losses create a sure path to victory, an idea with implications for biology and cancer therapy ...