New framework unifies space and time in quantum systems

Quantum mechanics and relativity are the two pillars of modern physics. However, for over a century, their treatment of space ...

Options Corner: Why HP Inc's Severe Weakness Is The Ideal Opportunity For Upside

Although HP Inc has suffered weakness over the past year, its structural relevance facilitates a hidden upside opportunity in ...
eLife

Perceptual predictions track subjective, over objective, statistical structure

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Scientific Research Publishing

Analyzing the Factors Influencing Sovereign Credit Ratings in East Africa ()

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...
Investopedia

Understanding Prior Probability in Bayesian Statistics

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 ...
TipRanks on MSN

Quant strategy signals UBER Technologies stock options play

Easily ranking among the most agonizing options-based ideas, Uber Technologies ($UBER) nevertheless presents a nuanced ...
Investopedia

Understanding Conditional Binding Receipts in Insurance Policies

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Eric's career includes extensive work in both public and corporate accounting with ...
Nature

Density functional theory articles from across Nature Portfolio

Density functional theory is computational technique used to predict the properties of molecules and bulk materials. It is a method for investigating the electronic structure of many-body systems and ...
IEEE

Short-Term Load Probability Prediction Based on Conditional Generative Adversarial Network Curve Generation

Abstract: To ensure the stable and secure operation of the power system, we propose a method for short-term load probability prediction based on Conditional Generative Adversarial Network (CGAN) curve ...
IEEE

Predictive Probability Density Mapping for Search and Rescue Using an Agent-Based Approach With Sparse Data

Abstract: Predicting the location where a lost person could be found is crucial for search and rescue operations with limited resources. To improve the precision and efficiency of these predictions, ...
Scientific Research Publishing

Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation (2) ()

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
Microsoft

Minimax Rates for Conditional Density Estimation via Empirical Entropy

We consider the task of estimating a conditional density using i.i.d. samples from a joint distribution, which is a fundamental problem with applications in both classification and uncertainty ...