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 A placement method based on deep reinforcement learning for mission critical services in 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]

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