Applied Stochastic Models in Business and Industry

Papers
(The TQCC of Applied Stochastic Models in Business and Industry is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data37
Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics29
A comprehensive review of blockchain applications in industrial Internet of Things and supply chain systems20
Securing logistics system and supply chain using Blockchain18
Modeling multivariate degradation processes with time‐variant covariates and imperfect maintenance effects17
Machine learning applications in nonlife insurance16
Smart contract for electricity transactions and charge settlements using blockchain16
Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning14
The generalized linear model‐based exponentially weighted moving average and cumulative sum charts for the monitoring of high‐quality processes13
Specifying prior distributions in reliability applications12
On the information properties of working used systems using dynamic signature12
Reliability assessment for discrete time shock models via phase‐type distributions12
Joint optimization of maintenance and spares ordering policy for a use‐oriented product‐service system with multiple failure modes11
Preservation of ILR and IFR aging classes in sums of dependent random variables11
A self‐exciting modeling framework for forward prices in power markets10
Virtual age, is it real? ‐ Discussing virtual age in reliability context10
An overview of some classical models and discussion of the signature‐based models of preventive maintenance10
Reverse mortgage and risk profile awareness: Proposals for securitization9
Forecasting portfolio returns with skew‐geometric Brownian motions8
Comparison of control charts for Poisson count data in health‐care monitoring8
Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring8
Upper confidence bound integrated genetic algorithm‐optimized long short‐term memory network for click‐through rate prediction8
Blockchain for supply chain performance and logistics management8
Classical and Bayesian estimations of improved Weibull–Weibull distribution for complete and censored failure times data7
The value of summary statistics for anomaly detection in temporally evolving networks: A performance evaluation study7
The Markov discrete time δ‐shock reliability model and a waiting time problem7
Health care fraud classifiers in practice7
Firms' profitability and ESG score: A machine learning approach6
Statistical estimation in passenger‐to‐train assignment models based on automated data6
An improved Hotelling's T2 chart for monitoring a finite horizon process based on run rules schemes: A Markov‐chain approach6
Functional clustering methods for resistance spot welding process data in the automotive industry6
A new distribution‐free adaptive sample size control chart for a finite production horizon and its application in monitoring fill volume of soft drink beverage bottles6
Nonlinear time series classification using bispectrum‐based deep convolutional neural networks6
Estimation of residential radon concentration in Pennsylvania counties by data fusion5
Optimal preventive maintenance for reparable networks5
Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment5
Learning low‐dimensional structure in house price indices5
A comprehensive distribution‐free scheme for tri‐aspect surveillance of complex processes5
Optimal decision‐theoretic sampling plan for two exponential distributions under joint censoring scheme5
The Variance Gamma++ process and applications to energy markets4
Clustering high‐frequency financial time series based on information theory4
Self‐supervised cross validation using data generation structure4
Machine learning techniques in nested stochastic simulations for life insurance4
Connecting copula properties with reliability properties of coherent systems4
Detecting systematic anomalies affecting systems when inputs are stationary time series4
Deep learning models for inflation forecasting4
On optimal maintenance of degrading multistate systems with state‐dependent cost of repair4
Cost‐efficient monitoring of continuous‐time stochastic processes based on discrete observations4
Multivariate process control charts based on the Lp depth4
Inference on errors in industrial parts: Kriging and variogram versus geometrical product specifications standard4
Conway–Maxwell Poisson regression‐based control charts under iterative Liu estimator for monitoring count data4
Optimal burn‐in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas4
Defective products management in a furniture production company: A data mining approach3
Optimal burn‐in policy for mixed population of products under two‐dimensional combination warranty3
Foreign exchange rate volatility smiles and smirks3
Bayesian piecewise stochastic frontier model to estimate initial public offering pricing efficiency under issuance policy reforms3
A micro‐to‐macro approach to returns, volumes and waiting times3
Preservation of some stochastic orders by distortion functions with application to coherent systems with exchangeable components3
Optimal time‐consistent social health insurance and private health insurance strategy under a new health insurance framework3
Optimization of two‐dimensional warranty policy for repairable products based on age and usage, applicable to lemon law conditions3
The determinants of social promotion success: A case study of crowdfunding projects3
Sequential detection of parameter changes in dynamic conditional correlation models3
Micro‐level reserving for general insurance claims using a long short‐term memory network2
A fundamental problem of hypothesis testing with finite inventory in e‐commerce2
A graphical diagnostic for heavy tailed data2
High leverage detection in general functional regression models with spatially correlated errors2
Rejoinder to “Virtual age, is it real?”2
Approximation of single‐barrier options partial differential equations using feed‐forward neural network2
Analysis of means approach in advanced designs2
Automobile insurance claim occurrence prediction model based on ensemble learning2
Discussion of “Virtual age, is it real?”2
An enriched mixture model for functional clustering2
Hedging and utility valuation of a defaultable claim driven by Hawkes processes2
A cyclic non‐homogeneous Markov chain model for resource availability optimization in a two‐parking lots system with priority classes and resource reservation2
The journey to establish the discipline of statistical engineering2
Model robust profile monitoring for the generalized linear mixed model for Phase I analysis2
Exact likelihood ratio and Wald tests for the balanced joint progressive censoring scheme2
Monitoring the covariance matrix of bivariate processes with the DVMAX control charts2
Options on constant proportion portfolio insurance with guaranteed minimum equity exposure2
Multivariate dynamic modeling for Bayesian forecasting of business revenue2
Connected autonomous vehicles: State of practice2
Topological data analysis in digital marketing2
Bayesian hierarchical spatial regression models for spatial data in the presence of missing covariates with applications2
Testing for parameter changes in linear state space models2
Fast heuristic approach for control of complex authentication systems2
Average‐tempered stable subordinators with applications2
Network‐based semisupervised clustering2
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