eLife

Inferring variant-specific effective reproduction numbers from combined case and sequencing data

Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.
International Monetary Fund

Should Oil Economies Worry About Oil Shocks’ Impact on the Banking System? The Case of Oman

This paper investigates the transmission of oil price shocks to the banking sector in oil-dependent economies, using Oman as a case study. We develop a DSGE model featuring an integrated banking block ...

Analyzing avalanches on asteroid Vesta offers new method for understanding regolith processes

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...
AlphaGalileo

Transfer learning boosts leaf trait estimation from space

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
IEEE

Variational Bayesian Channel Estimation for mmWave Massive MIMO-OFDM Systems

Abstract: This letter proposes a novel channel estimation algorithm for mmWave massive MIMO-OFDM systems, named linear model based variational line spectral estimation algorithm (LMVALSE). This ...
Phys.org

Scientists develop new method to estimate hidden species

When researchers survey wildlife in a lake, forest, or other habitat, they rarely capture every species present—some are simply too rare or elusive to detect. A new study published in the May issue of ...
RAPS

Industry asks FDA to affirm Bayesian methods guidance applies broadly to drugs

Industry groups and drugmakers want the US Food and Drug Administration (FDA) to explicitly clarify that Bayesian statistical methods can be used for products beyond those intended for children and ...
Reason

How To Speed Up the Search for Cures Through a Change in Probability Theory

Marty Makary was appointed commissioner of the Food and Drug Administration (FDA) in 2025. The prominent surgeon, medical researcher, bestselling author, and critic of the medical ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Scientific Research Publishing

Helman, S.K., Thompson, R.A. and Fox, S.E. (2020) Bayesian Latent Class Analysis to Estimate Disease Prevalence and Diagnostic Test Accuracy in Wildlife Populations. Preventive ...

ABSTRACT: Accurate estimation of disease prevalence is crucial for effective public health intervention and resource allocation. Generating data by individual testing methods is often impractical and ...
Scientific Research Publishing

Bayesian Inference Method for Stable Distributions ()

Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...