Results 71 to 80 of about 15,092,034 (255)
Quantifying Correlation Uncertainty Risk in Credit Derivatives Pricing
International Journal of Financial Studies, 2018 We propose a simple but practical methodology for the quantification of correlation risk in the context of credit derivatives pricing and credit valuation adjustment (CVA), where the correlation between rates and credit is often uncertain or unmodelled ...
Colin Turfus
doaj +1 more source
Model Uncertainty and Policy Evaluation: Some Theory and Empirics [PDF]
This paper explores ways to integrate model uncertainty into policy evaluation. We first describe a general framework for the incorporation of model uncertainty into standard econometric calculations.
Steven N. Durlauf +2 more
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Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Optimal Policy Under Model Uncertainty: A Structural-Bayesian Estimation Approach [PDF]
In this paper we propose a novel methodology to analyze optimal policies under model uncertainty in micro-founded macroeconomic models. As an application we assess the relevant sources of uncertainty for the optimal conduct of monetary policy within ...
Alexander Kriwoluzky +1 more
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Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
, 2006 This study examined the applicability of Mishel's model of uncertainty in illness (1990) to the adaptation process of women diagnosed with fibromyalgia. The power of uncertainty and social support to predict an uncertainty appraisal and its corresponding
Bowers, Rhonda J.
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
SensorsPractical robotic systems require control methods that remain reliable under limited computational resources, uncertain environments, and frequent changes in operating conditions.
Jangyeon Park, Kwanho Yu, Jungsu Choi
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IEEE Access, 2018 Kalman filters (KFs) and dynamic observers are two main classes of the dynamic state estimation (DSE) routines. The Power system DSE has been implemented by various KFs, such as the extended KF (EKF) and the unscented KF (UKF).
Junjian Qi, Ahmad F. Taha, Jianhui Wang
doaj +1 more source