Results 161 to 170 of about 21,776,804 (321)
Advancing pharmacometrics in Africa—Transition from capacity development toward job creation
Abstract Trained pharmacometricians remain scarce in Africa due to limited training opportunities, lack of a pharmaceutical product development ecosystem, and emigration to high‐income countries. The Applied Pharmacometrics Training (APT) fellowship program was established to address these gaps and specifically foster job creation for talent retention.
Goonaseelan (Colin) Pillai +10 more
wiley +1 more source
More or less aggressive? Robust monetary policy in a New Keynesian model with financial distress [PDF]
This paper investigates the optimal monetary policy response to a shock to collateral when policymakers act under discretion and face model uncertainty.
Gerke, Rafael +2 more
core
Correcting model misspecification in relationship estimates
1.AbstractThe datasets of large genotyping biobanks and direct-to-consumer genetic testing companies contain many related individuals. Until now, it has been widely accepted that the most distant relationships that can be detected are around fifteen degrees (approximately 8thcousins) and that practical relationship estimates have a ceiling around ten ...
openaire +2 more sources
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes.
Lars Peter Hansen, Thomas J. Sargent
core
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Editorial: Evidential Statistics, Model Identification, and Science
Mark L. Taper +3 more
doaj +1 more source
ABSTRACT The promotion of clean energy is critical to achieving sustainable development. This study investigates the factors that affect the exports, trade potential, and revealed comparative advantage (RCA) of clean energy products (CEPs) in the emerging Asian economies (EAEs).
Arvind Goswami +2 more
wiley +1 more source
Modeling Demand for Outdoor Recreation Settings with Choice Based Data Accounting for Exogenous and Endogenous Stratification [PDF]
Estimating regional demand models by pooling different samples without correcting for such differences causes model misspecification as each sample belongs to a different population.
Bergstrom, John C. +2 more
core +1 more source
Unlocking Financial Inclusion: The Dynamics of Bank Account Ownership in Urban Slums
ABSTRACT Financial inclusion is a key driver of sustainable development, contributing to poverty reduction (SDG 1), gender equality (SDG 5), and reduced inequalities (SDG 10). Despite extensive financial‐inclusion policies in India, residents of urban slums remain largely excluded from formal banking systems.
Davide Moro +3 more
wiley +1 more source

