Purpose: This paper explores different machine learning (ML) algorithms for analyzing diffusion nuclear magnetic resonance imaging (dMRI) models when analytical fitting shows restrictions.
Leonar Steven Prieto-González +1 more
doaj +1 more source
The Underlying Return Generating Factors for REIT Returns: An Application of Independent Component Analysis [PDF]
Multi-factor approaches to analysis of real estate returns have, since the pioneering work of Chan, Hendershott and Sanders (1990), emphasised a macro-variables approach in preference to the latent factor approach that formed the original basis of the ...
Colin Lizieri +2 more
core
ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu +4 more
wiley +1 more source
Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch
Wearable activity sensors typically count movement quantity, such as the number of steps taken or the number of upper extremity (UE) counts achieved. However, for some applications, such as neurologic rehabilitation, it may be of interest to quantify the
Guillem Cornella-Barba +3 more
doaj +1 more source
Generalized Tukey-type distributions with application to financial and teletraffic data [PDF]
Constructing skew and heavy-tailed distributions by transforming a standard normal variable goes back to Tukey (1977) and was extended and formalized by Hoaglin (1983) and Martinez & Iglewicz (1984). Applications of Tukey's GH distribution family - which
Fischer, Matthias J.
core
A note on the construction of generalized Tukey-type transformations [PDF]
One possibility to construct heavy tail distributions is to directly manipulate a standard Gaussian random variable by means of transformations which satisfy certain conditions.
Fischer, Matthias J.
core
Estimating the distribution of inflation expectations [PDF]
In this paper, we use survey data to estimate the shape of the distribution of inflation expectations. However, unlike previous studies, we do not assume a distribution a priori.
Akira Terai
core
Non-Extensitivity versus informative moments for financial models: a unifying framework and empirical results [PDF]
Information-theoretic approaches still play a minor role in financial market analysis. Nonetheless, there have been two very similar approaches evolving during the last years, one in so-called econophysics and the other in econometrics.
Herrmann, Klaus
core
Temporal Aggregation of the Returns of a Stock Index Series [PDF]
The effects of temporal aggregation on asymmetry properties and the kurtosis of returns based on the NYSE composite index are studied. There is less asymmetry in responses to shocks for weekly and monthly frequencies than for the daily frequency ...
Brännäs, Kurt
core +1 more source
A novel approach for high impedance fault detection in resonant grounding systems based on statistical characteristics. [PDF]
Meng Q, Gao Y, Hussain S, He Y, Li B.
europepmc +1 more source

