Bayesian models represent an important class of models in cognitive science and neuroscience. The model components (prior, likelihood function, loss function) play important roles in understanding ...
Public health policy and disease surveillance systems require accurate forecasting of infectious disease dynamics to support timely interventions and resource allocation. However, classical linear ...
SketchUp is one of the most widely used digital modeling software programs in both professional practice and academia—and undoubtedly the most intuitive. However, the ease of creating orthogonal ...
ABSTRACT: Long tide gauge time series are essential for coastal monitoring, port management, and sea level studies, but are often affected by data gaps due to instrumental and operational failures.
As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...
A Bayesian Hierarchical Framework for Non-linear and Iterative Transfer Learning of Gaussian Process
Abstract: Classical multi-output GP (MGP) models often suffer from limitations such as the assumption of linear inter-process correlations, sensitivity to data imbalance, and lack of support for ...
In the quest for precision medicine in oncology, one of the most daunting challenges remains the accurate prediction of neoadjuvant chemotherapy response in HER2-positive breast cancer patients.
Circulating Tumor DNA Assessment of Disease Response in Large B-Cell Lymphoma: Lisocabtagene Maraleucel Versus Autologous Stem Cell Transplantation Standard Therapy We conducted an assessor-masked, ...
In recent years, a growing number of states have begun to allow residential construction in commercial zones in an effort to lower rising housing costs. Since 2023, six states—California, Florida, ...
In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...
This webinar explores how advanced Bayesian forecasting models can improve predictions of labour market trends and support more informed policy decisions. Bayesian methods are being increasingly used ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results