A
  • Anomaly Detection Health Monitoring of Industrial Equipment Based on a Single Output Parameter Using a Bayesian Two-Sample Test in Hilbert Space [Volume 3, Issue 1, 2024-2025, Pages 281-300]
B
  • Bayesian estimation Bayesian Analysis of the Weighted Marshall-Olkin Bivariate Exponential Model [Volume 3, Issue 1, 2024-2025, Pages 255-280]
  • Bayesian hypothesis testing Health Monitoring of Industrial Equipment Based on a Single Output Parameter Using a Bayesian Two-Sample Test in Hilbert Space [Volume 3, Issue 1, 2024-2025, Pages 281-300]
  • Bayesian neural networks On weight and variance uncertainty in neural networks for regression tasks [Volume 3, Issue 1, 2024-2025, Pages 201-222]
C
  • Capillary Action Unsteady numerical simulation and data analysis of hysteresis associated with water uptake in capillary tube [Volume 3, Issue 1, 2024-2025, Pages 49-78]
  • Case deletion model Diagnostic measures based on restricted ridge estimator in linear mixed measurement error models [Volume 3, Issue 1, 2024-2025, Pages 95-122]
  • Central Bell distribution Zero-Inflated Two-Parameter Distribution for Modeling Overdispersed Count Data [Volume 3, Issue 1, 2024-2025, Pages 123-142]
  • Cheating Rank CheatingRank: A Multi-Stage Approach for Detecting Cheating in Online Assessments [Volume 3, Issue 1, 2024-2025, Pages 175-199]
  • Clustring CheatingRank: A Multi-Stage Approach for Detecting Cheating in Online Assessments [Volume 3, Issue 1, 2024-2025, Pages 175-199]
  • Cook’s distance Diagnostic measures based on restricted ridge estimator in linear mixed measurement error models [Volume 3, Issue 1, 2024-2025, Pages 95-122]
  • Count data Zero-Inflated Two-Parameter Distribution for Modeling Overdispersed Count Data [Volume 3, Issue 1, 2024-2025, Pages 123-142]
  • Credit risk assessment‎ ‎Recurrent Neural Networks for Loan Default Prediction: A Dual Deterministic and Uncertainty-Aware Framework [Volume 3, Issue 1, 2024-2025, Pages 79-93]
D
  • Data analysis The unit linear exponential distribution: properties, quantile regression model and applications [Volume 3, Issue 1, 2024-2025, Pages 143-174]
  • Diagnostics, Leverage points, Ridge estimator Diagnostic measures based on restricted ridge estimator in linear mixed measurement error models [Volume 3, Issue 1, 2024-2025, Pages 95-122]
F
  • Fluid Dynamics Unsteady numerical simulation and data analysis of hysteresis associated with water uptake in capillary tube [Volume 3, Issue 1, 2024-2025, Pages 49-78]
G
  • Gibss sampling Bayesian Analysis of the Weighted Marshall-Olkin Bivariate Exponential Model [Volume 3, Issue 1, 2024-2025, Pages 255-280]
H
  • Hilbert space Health Monitoring of Industrial Equipment Based on a Single Output Parameter Using a Bayesian Two-Sample Test in Hilbert Space [Volume 3, Issue 1, 2024-2025, Pages 281-300]
K
  • Kullback-Leibler divergence On weight and variance uncertainty in neural networks for regression tasks [Volume 3, Issue 1, 2024-2025, Pages 201-222]
L
  • Loan default prediction ‎Recurrent Neural Networks for Loan Default Prediction: A Dual Deterministic and Uncertainty-Aware Framework [Volume 3, Issue 1, 2024-2025, Pages 79-93]
M
  • Markov Chain Monte Carlo Bayesian Analysis of the Weighted Marshall-Olkin Bivariate Exponential Model [Volume 3, Issue 1, 2024-2025, Pages 255-280]
  • Mean Square Error PCA by Shrinkage Estimation: A Comprehensive Mathematical and Statistical Analysis [Volume 3, Issue 1, 2024-2025, Pages 29-47]
  • Mission critical services Supporting Critical Services with Intelligent Placement in the Computing Continuum [Volume 3, Issue 1, 2024-2025, Pages 223-253]
  • Monte Carlo simulations The unit linear exponential distribution: properties, quantile regression model and applications [Volume 3, Issue 1, 2024-2025, Pages 143-174]
N
  • Numerical Modeling Unsteady numerical simulation and data analysis of hysteresis associated with water uptake in capillary tube [Volume 3, Issue 1, 2024-2025, Pages 49-78]
O
  • Online Examination CheatingRank: A Multi-Stage Approach for Detecting Cheating in Online Assessments [Volume 3, Issue 1, 2024-2025, Pages 175-199]
  • Overdispersion Zero-Inflated Two-Parameter Distribution for Modeling Overdispersed Count Data [Volume 3, Issue 1, 2024-2025, Pages 123-142]
P
R
  • Recurrent Neural Networks (RNNs) ‎Recurrent Neural Networks for Loan Default Prediction: A Dual Deterministic and Uncertainty-Aware Framework [Volume 3, Issue 1, 2024-2025, Pages 79-93]
  • Regression task On weight and variance uncertainty in neural networks for regression tasks [Volume 3, Issue 1, 2024-2025, Pages 201-222]
S
  • Sinc neural network Applying the Modified Sinc Neural Network for Weather Forecasting [Volume 3, Issue 1, 2024-2025, Pages 1-28]
  • Statistical Data Sampling Unsteady numerical simulation and data analysis of hysteresis associated with water uptake in capillary tube [Volume 3, Issue 1, 2024-2025, Pages 49-78]
T
  • Time Series Forecasting Applying the Modified Sinc Neural Network for Weather Forecasting [Volume 3, Issue 1, 2024-2025, Pages 1-28]
U
  • Uncertainty quantification ‎Recurrent Neural Networks for Loan Default Prediction: A Dual Deterministic and Uncertainty-Aware Framework [Volume 3, Issue 1, 2024-2025, Pages 79-93]
  • Unit distribution The unit linear exponential distribution: properties, quantile regression model and applications [Volume 3, Issue 1, 2024-2025, Pages 143-174]
V
  • Variational Bayes On weight and variance uncertainty in neural networks for regression tasks [Volume 3, Issue 1, 2024-2025, Pages 201-222]
W
Z
  • Zero-inflated Zero-Inflated Two-Parameter Distribution for Modeling Overdispersed Count Data [Volume 3, Issue 1, 2024-2025, Pages 123-142]