Estimates of malaria prevalence and intervention coverage in Africa are primarily based on nationally representative ...

Could a simple blood test reveal how well someone is aging? A team of researchers led by Wolfram Weckwerth from the University of Vienna, Austria, and Nankai University, China, has combined advanced ...

The Bank of England is applying a fusion of machine learning (ML) with economic theory to better understand complex phenomena ...

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

Abstract: Estimating an unknown deterministic parameter vector with a linear estimator in a noisy linear model is well-known in statistics. This paper studies the open problem in [1], i.e., developing ...

The electric vehicle (EV) market reached 1.56 million EV sales and a 10% sales share of all light-duty vehicles in 2024. By 2024, a third of automakers offered at least nine EV models, but most growth ...

Congratulations on a great paper! I have a question about the linear transformation for UltraFeedback. It's unclear how you transformed the data from 1-10 to 0-1. To obtain the scores back in the ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

ABSTRACT: This study investigates the impact of marketing mix elements—Product, Price, Promotion, and Place (4Ps)—on the revenue and profit of Nigerian Breweries Plc (NBL) from 2013 to 2022, using ...

Researchers in Sweden have developed a method to use LiDAR data to enable more precise tilt and azimuth modeling of solar PV and solar thermal capacity at a regional or substation level. The model ...