Results 221 to 230 of about 1,580,924 (326)
It provides a conceeptual framework of the core components required for w/o PE development and various internal and external factors determining the emulsion stabilization. It also emphasizes the emerging application of w/o PE in diverse industrial use such as encapsulation and delivery, packaging, food, biomedical, etc.
Bibha Mishra A., Vidisha Tomer
wiley +1 more source
From Brownian motion to virtual biopsy: a historical perspective from 40 years of diffusion MRI. [PDF]
Le Bihan D.
europepmc +1 more source
Principal Eigenvalue for Brownian Motion on a Bounded Interval with Degenerate Instantaneous Jumps [PDF]
Iddo Ben-Ari
openalex +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Brownian Motion Paving the Way for Molecular Translocation in Nanopores. [PDF]
Lee WY +5 more
europepmc +1 more source
Representation formulae for the fractional Brownian motion
Picard, Jean
openalex +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Probability of entering an orthant by correlated fractional Brownian motion with drift: exact asymptotics. [PDF]
Dȩbicki K, Ji L, Novikov S.
europepmc +1 more source
On the maximum of discretely sampled fractional Brownian motion with\n small Hurst parameter [PDF]
Konstantin Borovkov, Mikhail Zhitlukhin
openalex +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source

