AR(2) modelA look at the change point in second-order autoregressive model [Volume 29, Issue 1, 2024]
ARMA-GARCH ModelAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
Average run length&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
B
Back testingAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
Baseline Hazard ModelsDeep neural network survival for emergency response time prediction [Volume 29, Issue 2, 2024, Pages 88-109]
Bayesian estimationParameter Estimation of the Beta Marshall-Olkin Extended Log-Logistic Distribution [Volume 29, Issue 2, 2024, Pages 177-190]
Bayesian modelsApplication of Bayesian Multiple-Instance Regression Based on Shotgun Stochastic Search for Joint Instance and Variable Selection: A Case Study on Burn-Injury Data [Volume 29, Issue 2, 2024, Pages 191-214]
Bayesian Neural NetworksNonlinear Regression Modeling Using Bayesian Neural Networks and Comparative Analysis of Sampling and Variational Inference [Volume 29, Issue 2, 2024, Pages 127-143]
Big data&lrmFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
Boosting algorithmAnalysis of investment risk in companies listed on the Iran stock exchange using a boosting algorithm [Volume 29, Issue 1, 2024]
C
Circular-circular copulasA Review of Directional Copulas and Their Applications [Volume 29, Issue 2, 2024, Pages 144-176]
Circular-linear copulasA Review of Directional Copulas and Their Applications [Volume 29, Issue 2, 2024, Pages 144-176]
Closed Skew Normal DistributionBayesian Assessment of a Skew Spatial Regression Model Based on a Flexible Closed Skew-Normal Random Field using the Hamiltonian Monte Carlo Algorithm [Volume 29, Issue 1, 2024]
CopulaA Review of Dependence Measures (Part I): History, Concepts, and Classical Measures [Volume 29, Issue 2, 2024, Pages 215-235]
CorrelationA Review of Dependence Measures (Part I): History, Concepts, and Classical Measures [Volume 29, Issue 2, 2024, Pages 215-235]
D
Deep Survival AnalysisDeep neural network survival for emergency response time prediction [Volume 29, Issue 2, 2024, Pages 88-109]
Dependence modelingA Review of Directional Copulas and Their Applications [Volume 29, Issue 2, 2024, Pages 144-176]
Directional copulasA Review of Directional Copulas and Their Applications [Volume 29, Issue 2, 2024, Pages 144-176]
Directional dataA Review of Directional Copulas and Their Applications [Volume 29, Issue 2, 2024, Pages 144-176]
Double moving average&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
E
Emergency Response TimeDeep neural network survival for emergency response time prediction [Volume 29, Issue 2, 2024, Pages 88-109]
Expected shortfallAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
Exponentially weighted moving average&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
F
ForecastingApplication of conditional heteroscedasticity models in financial time series [Volume 29, Issue 1, 2024]
G
GARCH modelAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
Generalized Cross-validation&lrmAnalysis of Hydrological Variables and Soil Properties Using Spatial Ridge and Support Vector Regression Methods [Volume 29, Issue 2, 2024, Pages 42-53]
H
Hamiltonian Monte CarloNonlinear Regression Modeling Using Bayesian Neural Networks and Comparative Analysis of Sampling and Variational Inference [Volume 29, Issue 2, 2024, Pages 127-143]
Hamiltonian Monte Carlo methodBayesian Assessment of a Skew Spatial Regression Model Based on a Flexible Closed Skew-Normal Random Field using the Hamiltonian Monte Carlo Algorithm [Volume 29, Issue 1, 2024]
I
IdentifiabilityBayesian Assessment of a Skew Spatial Regression Model Based on a Flexible Closed Skew-Normal Random Field using the Hamiltonian Monte Carlo Algorithm [Volume 29, Issue 1, 2024]
InformationA Review of Dependence Measures (Part I): History, Concepts, and Classical Measures [Volume 29, Issue 2, 2024, Pages 215-235]
L
Legal framework&lrmFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
Logical probabilityThe Principle of Insufficient Reason and its Challenges [Volume 29, Issue 2, 2024, Pages 54-60]
M
Marshall-Olkin distributionParameter Estimation of the Beta Marshall-Olkin Extended Log-Logistic Distribution [Volume 29, Issue 2, 2024, Pages 177-190]
Maximum LikelihoodA look at the change point in second-order autoregressive model [Volume 29, Issue 1, 2024]
Maximum likelihood estimationParameter Estimation of the Beta Marshall-Olkin Extended Log-Logistic Distribution [Volume 29, Issue 2, 2024, Pages 177-190]
Median run length&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
Mobile positioning data&lrmFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
Monotone dependenceA Review of Dependence Measures (Part I): History, Concepts, and Classical Measures [Volume 29, Issue 2, 2024, Pages 215-235]
Monte Carlo SimulationPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
Multiple instance learningApplication of Bayesian Multiple-Instance Regression Based on Shotgun Stochastic Search for Joint Instance and Variable Selection: A Case Study on Burn-Injury Data [Volume 29, Issue 2, 2024, Pages 191-214]
Multi-Task LearningDeep neural network survival for emergency response time prediction [Volume 29, Issue 2, 2024, Pages 88-109]
N
Non-monotone dependenceA Review of Dependence Measures (Part I): History, Concepts, and Classical Measures [Volume 29, Issue 2, 2024, Pages 215-235]
No-U-Turn SamplerNonlinear Regression Modeling Using Bayesian Neural Networks and Comparative Analysis of Sampling and Variational Inference [Volume 29, Issue 2, 2024, Pages 127-143]
O
Official statistics&lrmFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
P
Population mobility analysisFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
Privacy&lrmFamiliarity with Mobile Positioning Data in the Production of Official Statistics [Volume 29, Issue 2, 2024, Pages 16-41]
Ridge Regression&lrmAnalysis of Hydrological Variables and Soil Properties Using Spatial Ridge and Support Vector Regression Methods [Volume 29, Issue 2, 2024, Pages 42-53]
RiskExcess Wealth Transform and its Applications [Volume 29, Issue 1, 2024]
RiskAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
S
Shotgun Stochastic Search (SSS)Application of Bayesian Multiple-Instance Regression Based on Shotgun Stochastic Search for Joint Instance and Variable Selection: A Case Study on Burn-Injury Data [Volume 29, Issue 2, 2024, Pages 191-214]
Spatial Empirical VariogramBayesian Assessment of a Skew Spatial Regression Model Based on a Flexible Closed Skew-Normal Random Field using the Hamiltonian Monte Carlo Algorithm [Volume 29, Issue 1, 2024]
Standard deviation of run length&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
Statistical LiteracyA systematic review of the concepts of statistical literacy, statistical reasoning and statistical thinking [Volume 29, Issue 1, 2024]
Statistical quality control&lrmPerformance evaluation of combined control chart based on MRL and SDRL criteria for a normal qualitative variable [Volume 29, Issue 2, 2024, Pages 1-15]
Statistical ReasoningA systematic review of the concepts of statistical literacy, statistical reasoning and statistical thinking [Volume 29, Issue 1, 2024]
Statistical thinkingA systematic review of the concepts of statistical literacy, statistical reasoning and statistical thinking [Volume 29, Issue 1, 2024]
Statistics EducationA systematic review of the concepts of statistical literacy, statistical reasoning and statistical thinking [Volume 29, Issue 1, 2024]
Statistics EducationThe Footprint of Artificial Intelligence in School Statistics Education [Volume 29, Issue 2, 2024, Pages 61-87]
Sufficient reason principleThe Principle of Insufficient Reason and its Challenges [Volume 29, Issue 2, 2024, Pages 54-60]
Support Vector Machines&lrmAnalysis of Hydrological Variables and Soil Properties Using Spatial Ridge and Support Vector Regression Methods [Volume 29, Issue 2, 2024, Pages 42-53]
Support vector regressionAnalysis of Hydrological Variables and Soil Properties Using Spatial Ridge and Support Vector Regression Methods [Volume 29, Issue 2, 2024, Pages 42-53]
Systematic reviewA systematic review of the concepts of statistical literacy, statistical reasoning and statistical thinking [Volume 29, Issue 1, 2024]
T
Time SeriesA look at the change point in second-order autoregressive model [Volume 29, Issue 1, 2024]
Trading volumeAnalysis of investment risk in companies listed on the Iran stock exchange using a boosting algorithm [Volume 29, Issue 1, 2024]
V
Value at riskAn Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model [Volume 29, Issue 2, 2024, Pages 110-126]
Variance and Standard DeviationThe Footprint of Artificial Intelligence in School Statistics Education [Volume 29, Issue 2, 2024, Pages 61-87]
Variational InferenceNonlinear Regression Modeling Using Bayesian Neural Networks and Comparative Analysis of Sampling and Variational Inference [Volume 29, Issue 2, 2024, Pages 127-143]
Vector autoregressive (VAR) modelAnalysis of investment risk in companies listed on the Iran stock exchange using a boosting algorithm [Volume 29, Issue 1, 2024]
