Voxel-Based Dose-Toxicity Modeling for Predicting Post-Radiotherapy Toxicity: A Critical Perspective. [PDF]
Puri T.
europepmc +1 more source
‐Pi infusion significantly improved locomotor activity and exploratory behavior in aging mice; its bioactive compounds may have direct effects on behavior, which may be accompanied by a putative indirect effect involving the gut microbiota. ‐Pi infusion consumption restored commensal Bacilli levels and caused a significant decrease in Clostridia levels
Yulia Kroupitski +7 more
wiley +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
When are novel methods for analyzing complex chemical mixtures in epidemiology beneficial? [PDF]
Wiecha N +3 more
europepmc +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
Statistical Inference for High-Dimensional Heteroscedastic Partially Single-Index Models. [PDF]
Fang J, Tian Z.
europepmc +1 more source
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams [PDF]
Brian Cho, Kyra Gan, Nathan Kallus
openalex +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Noninvasive Seizure Onset Zone Localization Using Janashia-Lagvilava Algorithm-Based Spectral Factorization in Granger Causality. [PDF]
Kasradze S +7 more
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source

