Results 241 to 250 of about 147,580 (306)
Generative modelling meets Bayesian inference: a new paradigm for inverse problems. [PDF]
Oliviero-Durmus A +4 more
europepmc +1 more source
Abstract This article examines the factors associated with persistent absenteeism (an absence rate of 10% or higher) and authorised and unauthorised absence among secondary school pupils in Scotland. Using linked administrative data, the analysis focuses on secondary school stages S1–S6 in three academic years.
Silvia Behrens +6 more
wiley +1 more source
Bayesian Inference of Binding Kinetics from Fluorescence Time Series. [PDF]
Bryan JS +6 more
europepmc +2 more sources
Bayesian inference for geophysical fluid dynamics using generative models. [PDF]
Lobbe A, Crisan D, Lang O.
europepmc +1 more source
ABSTRACT In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This study presents a modular mechanistic model of the IVT process to advance scientific understanding ...
Keqi Wang +12 more
wiley +1 more source
Bayesian inference of fitness landscapes via tree-structured branching processes. [PDF]
Luo XG +4 more
europepmc +1 more source
Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu +4 more
wiley +1 more source
Integrating Bayesian Inference and Machine Learning to Evaluate TAP and Trypsin-2 as Early Biomarkers of Systemic Inflammation in Acute Pancreatitis. [PDF]
Calin Frij A +9 more
europepmc +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
BiGSM: Bayesian inference of gene regulatory network via sparse modelling. [PDF]
Qin H +3 more
europepmc +1 more source

