Results 41 to 50 of about 18,915,989 (297)
Continuous and Jump Betas: Implications for Portfolio Diversification
Econometrics, 2016 Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed
Vitali Alexeev +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
songjun-wu/Time-varying-SSA: Source codes for time-varying SSA
, 2021 This release includes the source codes for time-varying spatial sensitivity analysis.
songjun-wu
core +1 more source
A Bayesian Control Chart for Monitoring Process Variance
Applied Sciences, 2021 Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process.
Chien-Hua Lin +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Central nervous system (CNS) relapse of neuroblastoma carries a poor prognosis, and craniospinal irradiation (CSI) poses substantial long‐term toxicity in young children. We report a toddler with MYCN‐amplified neuroblastoma harboring somatic ALK R1275Q who developed extensive leptomeningeal relapse with paraplegia.
Jinwoo Kim +11 more
wiley +1 more source
Adaptive Multi-target Tracking Algorithm with Unknown Detection Probability [PDF]
Jisuanji gongcheng, 2017 In order to accurately model the system detection probability in a complex background,a Multi-Target Tracking(MTT) method with unknown detection probability is proposed.The detection probability is modeled by the Time Varying AutoRegressive(TVAR) process.
LIU Jun,YUAN Peiyan,QIU Hao
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
Exchange Rate Volatility Forecasting by Hybrid Neural Network Markov Switching Beta-t-EGARCH
IEEE Access, 2020 The motivation of this study is built from the previous research to find a way to enhance the forecast of advanced and emerging market currency volatilities.
Ruofan Liao +2 more
doaj +1 more source
NeuroImage, 2021 Interpreting neurophysiology recordings as a series of transient bursts with varying temporal and spectral characteristics provides meaningful insight into mechanisms underlying neural networks.
Lindsey Power, Timothy Bardouille
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source