Results 191 to 200 of about 23,103 (324)
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.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
MISSPECIFICATION IN SIMULTANEOUS SYSTEMS: AN ALTERNATIVE TEST AND ITS APPLICATION TO A MODEL OF THE SHRIMP MARKET [PDF]
Concern over the effects of public policies based on misspecified econometric models motivates interest in a procedure to test, diagnose, and improve the specification of models that have been estimated with three-stage least squares.
Lea, J.D., Shonkwiler, John Scott
core +1 more source
Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Normalizations and Misspecification in Skill Formation Models
Review of Economic StudiesAbstract An important class of structural models studies the determinants of skill formation and the optimal timing of interventions. In this article, I provide new identification results for these models and investigate the effects of seemingly innocuous scale and location restrictions on parameters of interest.
openaire +2 more sources
Model misspecification, learning and the exchange rate disconnect puzzle [PDF]
Rational expectations models fail to explain the disconnect between the exchange rate and macroeconomic fundamentals. In line with survey evidence on the behaviour of foreign exchange traders, we introduce model misspecification and learning into a ...
Vivien Lewis, Agnieszka Markiewicz
core
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Quarterly Journal of the Royal Meteorological Society, EarlyView.Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt +9 more
wiley +1 more source
Unlocking Financial Inclusion: The Dynamics of Bank Account Ownership in Urban Slums
Sustainable Development, EarlyView.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
Mitigating Model Misspecification with Variational Bayesian Inference [PDF]
Learning dynamical systems from data is an important modelling problem in which one approximates the underlying equations of motion governing the evolution of some system. The conventional approach involves utilising a dynamical model, often derived from
Krissaane, Ines
core +2 more sources
From Green Strategy to Sustainable Development: Corporate Efforts Toward SDG 12 and SDG 13
Sustainable Development, EarlyView.ABSTRACT Firms are increasingly integrating United Nations Development Goals 12 (Responsible consumption and production) and 13 (Climate action) as a part of their sustainability strategies. However, prior research has rarely examined how these SDGs interact as a unified capability rather than as isolated practices.
Post Raj Pokharel
wiley +1 more source