Results 151 to 160 of about 11,306 (311)
Stochastic Volatility Models with Skewness Selection. [PDF]
Martins I, Freitas Lopes H.
europepmc +1 more source
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald +7 more
wiley +1 more source
Impact of capital market volatility on economic growth - An analysis based on stochastic volatility model. [PDF]
Chang M, Li Y.
europepmc +1 more source
Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions. [PDF]
Abanto-Valle CA +3 more
europepmc +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
I denne avhandlingen ble effektiviteten av Stokastiske Volatilitetsmodeller, med ARMA(p, q) log-volatilitet, undersøkt i forhold til GARCH(p, q) i å forutsi volatiliteten til finansielle tidsserier. Videre var målet å vurdere evnen til SVMer i å fange opp atferden til underliggende finansielle tidsserier.
openaire +1 more source
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
SOFR term structure dynamics—Discontinuous short rates and stochastic volatility forward rates [PDF]
Alan Brace, Karol Gellert, Erik Schlögl
openalex +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source

