Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and ...

Bayesian modelling of multivariate loss reserving is an advanced statistical framework that quantifies future insurance liabilities across multiple lines of business simultaneously, integrating prior ...

Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...

Natural secondary forests are a dominant component of northeastern China’s landscapes and an important terrestrial carbon reservoir. Their dense, mixed-species structures create strong competition ...

Acalabrutinib in Combination With Rituximab, Cyclophosphamide, Doxorubicin, Vincristine, and Prednisolone as First-Line Therapy for Patients With Diffuse Large B-Cell Lymphoma The accuracy of interim ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/10.1521/jj ...

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, ...

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...

Bayesian spatiotemporal modeling showed HOLC grades C and D had significantly lower adjusted screening odds versus grade A, despite no unadjusted grade differences. Median screening prevalence ...