Results 191 to 200 of about 32,012 (272)

Fitting Copulas with Maximal Entropy. [PDF]

Entropy (Basel)
Bubák M, Navara M.
europepmc   +1 more source

Factor Tree Copula Models for Item Response Data. [PDF]

Psychometrika, 2023
Kadhem SH, Nikoloulopoulos AK.
europepmc   +1 more source

Bivariate Copula‐Based Regression for Joint Modeling of Healthcare Visits

Health Economics, Volume 35, Issue 2, Page 332-345, February 2026.
ABSTRACT Doctor and non‐doctor visit frequencies are key indicators of healthcare access, utilization and individual health‐seeking behavior. While doctor visits reflect engagement with formal medical services, non‐doctor visits, such as to nurses, physiotherapists or alternative providers, offer insights into patient preferences and system ...
Giampiero Marra, Rosalba Radice
wiley   +1 more source

Spatial Flows of Information Entropy as Indicators of Climate Variability and Extremes. [PDF]

Entropy (Basel)
Twaróg B.
europepmc   +1 more source

Understanding Relationships Using Copulas

, 1998
E. Frees, Emiliano A. Valdez
semanticscholar   +1 more source

Novel Drug‐Disease Modeling Framework for Oncology Benefit–Risk Evaluation: Application to Tusamitamab Ravtansine

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 2, February 2026.
ABSTRACT This study introduces a novel drug‐disease modeling framework designed to assess the benefit–risk balance of antibody‐drug conjugates (ADC) in oncology. The framework integrates dose levels, pharmacokinetics, tumor growth dynamics, progression‐free survival (PFS), and dose‐adjusted adverse events.
Marc Cerou, Christine Veyrat‐Follet, Sophie Fliscounakis‐Huynh, Clemence Pouzin, Nathalie Fagniez, Frano Mihaljevic, Mustapha Chadjaa, Emmanuelle Comets, Hoai‐Thu Thai   +8 more
wiley   +1 more source

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

A Statistical Framework for Measuring Reproducibility and Replicability of High‐Throughput Experiments From Multiple Sources

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Replication is essential to reliable and consistent scientific discovery in high‐throughput experiments. Quantifying the replicability of scientific discoveries and identifying sources of irreproducibility have become important tasks for quality control and data integration.
Monia Ranalli, Yafei Lyu, Hillary Koch, Qunhua Li   +3 more
wiley   +1 more source

A multiagent reinforcement learning algorithm for personalized recommendations in bipolar disorder. [PDF]

PNAS Nexus
Lin S, Saghafian S, Lipschitz JM, Burdick KE.   +3 more
europepmc   +1 more source

Missing Value Imputation With Adversarial Random Forests—MissARF

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Handling missing values is a common challenge in biostatistical analyses, typically addressed by imputation methods. We propose a novel, fast, and easy‐to‐use imputation method called missing value imputation with adversarial random forests (MissARF), based on generative machine learning, that provides both single and multiple imputation ...
Pegah Golchian, Jan Kapar, David S. Watson, Marvin N. Wright   +3 more
wiley   +1 more source