Results 191 to 200 of about 87,023 (313)

Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting. [PDF]

PLoS One
Zeng J, Wu J.
europepmc   +1 more source

Analysis and generation of random vectors with copulas [PDF]

, 2007
Johann Christoph Strelen, Feras Nassaj
openalex   +1 more source

Copula‐Based Data Augmentation and Machine Learning for Predicting Tensile Strength of 3D‐Printed PLA Under Anisotropic Conditions

Journal of Applied Polymer Science, Volume 142, Issue 40, October 20, 2025.
Experimental Characterization and Prediction of Mechanical Properties of Anisotropic PLA Samples. ABSTRACT In this study, 48 polylactic acid (PLA) samples were produced via 3D printing, incorporating four infill geometries (gyroid, lattice, honeycomb, and linear), four infill rates (15%–60%), and three printing directions (x, y, z).
Ahmet Saylık, Ertan Kösedağ, Taha Etem   +2 more
wiley   +1 more source

Long-term ecological studies must continue: insights from a dryland transition zone. [PDF]

Oecologia
Le VH, Collins SL, Vargas R.
europepmc   +1 more source

A Systematic Evaluation of the Dosing Regimens for Approved Targeted Therapies and Immune Checkpoint Inhibitors in Metastatic Renal Cell Carcinoma From a Project OPTIMUS Perspective

The Journal of Clinical Pharmacology, Volume 65, Issue 10, Page 1187-1207, October 2025.
Abstract Targeted therapies and immune checkpoint inhibitors (ICIs) have significantly improved survival outcomes in metastatic renal cell carcinoma (mRCC) but are often associated with high rates of adverse events, leading to dose reductions or treatment discontinuation.
Zhiyuan Tan, Swantje Völler, Aymara Sancho‐Araiz, Catherijne A. J. Knibbe, Dirk Jan A. R. Moes   +4 more
wiley   +1 more source

Synthetic data for pharmacogenetics: enabling scalable and secure research. [PDF]

JAMIA Open
Miletic M, Bollinger A, Allemann SS, Sariyar M.   +3 more
europepmc   +1 more source

Some Statistical Pitfalls in Copula Modeling for Financial Applications

, 2004
Jean‐David Fermanian, Olivier Scaillet
openalex   +2 more sources

Recursive Random Binning to Detect and Display Pairwise Dependence

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 18, Issue 5, October 2025.
ABSTRACT Random binnings generated via recursive binary splits are introduced as a way to detect, measure the strength of, and to display the pattern of association between any two variates, whether one or both are continuous or categorical. This provides a single approach to ordering large numbers of variate pairs by their measure of dependence and ...
Chris Salahub, R. Wayne Oldford
wiley   +1 more source

An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data. [PDF]

Sci Rep
Yan X, Shang S, Li D, Dang Y.
europepmc   +1 more source

Searching for Universality of Turbulence in the Earth's Magnetosphere

Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.
Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley   +1 more source