Results 181 to 190 of about 142,210 (310)
Dynamics, Noise, Delays and the Gibbs and Conditional Entropy. [PDF]
Mackey MC, Tyran-Kamińska M.
europepmc +1 more source
Volatility models with innovations from new maximum entropy densities at work [PDF]
Generalized autoregressive conditional heteroskedasticity (GARCH) processes have become very popular as models for financial return data because they are able to capture volatility clustering as well as leptokurtic unconditional distributions which ...
Herrmann, Klaus +2 more
core
The integration of ROS‐generating systems with H2S depletion strategies effectively overcomes the limitations imposed by endogenous antioxidant defenses on ROS‐based antimicrobial therapies. In this study, the Cu‐MOF is incorporated into pillararene‐embedded COF, achieving a “three‐in‐one” antimicrobial effect that markedly alleviated periodontal ...
Shuang Liang +9 more
wiley +1 more source
Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]
Oberauer K, Musfeld P, Aust F.
europepmc +1 more source
Practical Volatility Modeling for Financial Market Risk Management
Being able to choose most suitable volatility model and distribution specification is a more demanding task. This paper introduce an analyzing procedure using the Kullback-Leibler information criteria (KLIC) as a statistical tool to evaluate and compare ...
Shaari, Abu Hassan +2 more
core
ABSTRACT Class Switch Recombination (CSR) is essential for generating high‐affinity antibody isotypes from IgM during adaptive humoral responses. Despite well‐established roles for various transcription factors, whether CSR is subject to dedicated post‐transcriptional control represents a significant gap in knowledge.
Siyuan Sun +19 more
wiley +1 more source
Hotspots of Arctic and sub-Arctic marine sediment organic carbon are dominated by the Baltic, Barents and Chukchi Seas. [PDF]
Langley B +6 more
europepmc +1 more source
Autoregressive Conditional Density
We compare two time series models: an ARMA(1,1)-ACD(1,1)-NIG model against an ARMA(1,1)-GARCH(1,1)-NIG model. Their out-of-sample performance is of interest rather than their in-sample properties. The models produce one-day ahead forecasts which are evaluated using three statistical tests: VaR-test, VaRdur-test and Berkowitz-test.
openaire +1 more source
This study identifies the mechanosensor PIEZO1 as a key factor in promoting acute myeloid leukemia progression and uncovers a ferroptosis defense system mediated by PIEZO1‐HIF1A‐SLC7A11 axis that is essential for leukemia stem cell maintenance. This ferroptotic defense system may represent a unique vulnerability for leukemia stem cells, providing a ...
Tiantian Zhang +10 more
wiley +1 more source
Uniform in Bandwidth Consistency of the <i>L</i><sup>1</sup>-Modal Regression Estimator for High-Dimensional Data. [PDF]
Almulhim FA, Alamari MB, Laksaci A.
europepmc +1 more source

