Results 121 to 130 of about 142,210 (310)
Advanced Science, EarlyView.In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen +19 more
wiley +1 more source
Markov-Switching GARCH Models in R: The MSGARCH Package
Journal of Statistical Software, 2019 We describe the package MSGARCH, which implements Markov-switching GARCH (generalized autoregressive conditional heteroscedasticity) models in R with efficient C++ object-oriented programming.
David Ardia +4 more
doaj +1 more source
Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange [PDF]
We provide a framework for evaluating and improving multivariate density forecasts. Among other things, the multivariate framework lets us evaluate the adequacy of density forecasts involving cross-variable interactions, such as time-varying conditional ...
Jinyong Hahn +2 more
core
Corals and Reef‐Dwelling Fish Regulate Carbon Storage and Cycling Processes in Coral Reef Ecosystems
Advanced Science, EarlyView.Coral reefs are biodiversity hotspots, yet their role in carbon storage and cycling remains poorly understood. Using field surveys and modeling in the South China Sea, we reveal the overlooked potential of carbon storage in reef ecosystems and how reef fish, corals, and surface sediment jointly shape reef carbon reservoirs.
Yiting Chen +8 more
wiley +1 more source
Ensayos Revista de Economía, 2011 The paper aimed at modelling the density of inflation based on time-varying conditional variance, skewness and kurtosis model developed by Leon, Rubio, and Serna (2005) who model higher-order moments as GARCH-type processes by applying a Gram-Charlier ...
Doaa Akl Ahmed
doaj
Efficiently Compressible Density Operators via Entropy Maximization
Proceedings, 2019 We address the problem of efficiently and effectively compress density operators (DOs), by providing an efficient procedure for learning the most likely DO, given a chosen set of partial information.
Serena Di Giorgio, Paulo Mateus
doaj +1 more source
Fast Nonparametric Conditional Density Estimation
CoRR, 2012 Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)
Michael P. Holmes +2 more
openaire +3 more sources
Multivariate and conditional density estimation using local Gaussian approximations [PDF]
, 2016 Paper 1 ”Bias and bandwidth for local likelihood density estimation”: A local likelihood density estimator is shown to have asymptotic bias depending on the dimension of the local parameterization.
Otneim, Håkon
core +1 more source
Advanced Science, EarlyView.FGF13 is upregulated in DRG neurons of PIPNP model mice. DRG neuron‐specific knockout of FGF13 ameliorates PIPNP symptoms. Mechanistically, FGF13 potentiates microtubule detyrosination by promoting VASH1 binding to microtubules. FGF13 knockout suppresses VASH1‐mediated microtubule detyrosination and promotes α‐tubulin tyrosination.
Yiming Dong +10 more
wiley +1 more source
A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes. [PDF]
Biometrika, 2020 Payne RD, Guha N, Ding Y, Mallick BK.
europepmc +1 more source