Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Bayesian model averaging based deep learning forecasts of inpatient bed occupancy in mental health facilities. [PDF]
Sci RepAvinash G, Mishra S.
europepmc +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Prognostic Models Using the Lactate-to-Albumin Ratio for 28-Day Mortality in ICU Sepsis Patients: A Bayesian Model Averaging Approach. [PDF]
Int J Gen MedHoang QV +4 more
europepmc +1 more source
Annals of Gastroenterological Surgery, EarlyView.We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
Bayesian model averaging for randomized dose optimization trials in multiple indications. [PDF]
J Biopharm StatWei W, Lin J.
europepmc +1 more source
AIChE Journal, EarlyView.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA). [PDF]
Sci RepLi Z, Yang Z, Teng L, Xie S, Tian M.
europepmc +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Recommended Occupational Exposure Limits for GMA Using Benchmark Dose and Bayesian Model Averaging. [PDF]
China CDC WklyChen Z, Wang M, Liu N, Wang S, Tan F.
europepmc +1 more source