Results 101 to 110 of about 343,435 (310)
BAYESIAN MODEL AVERAGING AND THE OPTIMIZATION OF WORKFORCE PREDICTIONS
, 2023 This thesis explores the viability of Bayesian model averaging (BMA) as an alternative to traditional general linear models (GLMs) and ensemble-based machine-learning methods commonly used to predict workforce outcomes.
Goodwin, Gordon +1 more
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Fiscal Decentralisation and Economic Growth: A Bayesian Model Averaging Approach [PDF]
This article re-examines the relationship between fiscal decentralisation and economic growth by employing Bayesian model averaging (BMA). BMA enables the consideration of a range of measures of fiscal decentralisation and allows the incorporation of ...
Andrew Hodge +2 more
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Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Bayesian Model Averaging in the Context of Spatial Hedonic Pricing: An Application to Farmland Values [PDF]
Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices.
Geerte Cotteleer +2 more
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Forecasting in dynamic factor models using Bayesian model averaging
, 2004 This paper considers the problem of forecasting in dynamic factor models using Bayesian model averaging. Theoretical justifications for averaging across models, as opposed to selecting a single model, are given.
Koop, G.M., Potter, S.
core +1 more source
Biofilms in porous media: development of macroscopic transport equations via volume averaging with closure for local mass equilibrium conditions [PDF]
, 2009 In this work, we upscale a pore-scale description of mass transport in a porous medium containing biofilm to develop the relevant Darcy-scale equations.
Quintard, Michel +4 more
core +1 more source
Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Mixtures of g-priors for bayesian model averaging with economic applications [PDF]
We examine the issue of variable selection in linear regression have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the Model Averaging presents uncertainty.
Eduardo Ley, Mark F.J. Steel
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