Applied Stochastic Models in Business and Industry
1999 - 2021
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Volume 34, issue 6, 2018
- Foreword: Special issue on the future of applied stochastic models and data analysis pp. 760-761

- Valérie Girardin, Philippe Regnault and Christos H. Skiadas
- Asymptotic analysis and optimization of some insurance models pp. 762-773

- Ekaterina Bulinskaya
- Malliavin calculus in a binomial framework pp. 774-781

- Samuel N. Cohen, Robert J. Elliott and Tak Kuen Siu
- Spread and basket option pricing in a Markov‐modulated Lévy framework with synchronous jumps pp. 782-802

- Griselda Deelstra, Sinem Kozpınar and Matthieu Simon
- Final outcomes and disease insurance for a controlled epidemic model pp. 803-815

- Claude Lefèvre and Philippe Picard
- Ordering of series and parallel systems comprising heterogeneous generalized modified Weibull components pp. 816-834

- Narayanaswamy Balakrishnan, Phalguni Nanda and Suchandan Kayal
- Redistricting without gerrymandering, utilizing the convexity ratio, and other applications to business and industry pp. 835-851

- James R. Bozeman, Matt Davey, Sam Hutchins, Jillian Mori, Timothy Nicholson, Abigail Salvadore and Kayla St. Germain
- Prediction for regularized clusterwise multiblock regression pp. 852-867

- S. Bougeard, V. Cariou, G. Saporta and N. Niang
- A BIC‐based consistent metric between Markovian processes pp. 868-878

- Jesús E. García, R. Gholizadeh and V. A. González‐López
- Foreword: Special issue on statistics in quality and productivity pp. 879-879

- Nalini Ravishanker, Haim Bar and Emmanuel Yashchin
- Multistate multivariate statistical process control pp. 880-892

- Gabriel J. Odom, Kathryn B. Newhart, Tzahi Y. Cath and Amanda S. Hering
- Information‐theoretic multistage sampling framework for medical audits pp. 893-907

- Muzaffer Musal and Tahir Ekin
- Bayesian design of experiments for logistic regression to evaluate multiple nuclear forensic algorithms pp. 908-921

- Kevin R. Quinlan and Christine M. Anderson‐Cook
- Comparative performance analysis of the Cumulative Sum chart and the Shiryaev‐Roberts procedure for detecting changes in autocorrelated data pp. 922-948

- Aleksey S. Polunchenko and Vasanthan Raghavan
- Facilitating high‐dimensional transparent classification via empirical Bayes variable selection pp. 949-961

- Haim Bar, James Booth, Martin T. Wells and Kangyan Liu
- Foreword: Special issue on statistics in business and industry pp. 962-962

- Beatriz E. Etchegaray Garcia, Julie E. Novak and Emmanuel Yashchin
- Graphics to facilitate informative discussion and team decision making pp. 963-980

- Christine M. Anderson‐Cook and Lu Lu
- Discussion of “Graphics to facilitate informative discussion and team decision‐making” pp. 981-984

- Dae‐Heung Jang
- Discussion of “Graphics to facilitate informative discussion and team decision making” pp. 985-988

- Jennifer Van Mullekom
- Rejoinder to “Graphics to facilitate informative discussion and team decision‐making” pp. 989-991

- Christine Anderson‐Cook and Lu Lu
- Structural break detection in financial durations pp. 992-1006

- Yaohua Zhang, Nalini Ravishanker and Jian Zou
- Heuristic policies for stochastic knapsack problem with time‐varying random demand pp. 1007-1016

- Yingdong Lu
Volume 34, issue 5, 2018
- Special Issue on Recent Trends in Stochastic Models, Statistics and Their Applications pp. 585-585

- Adam Krzyżak and Ansgar Steland
- Do the time series statistical properties influence the goodness of fit of GRNN models? Study on financial series pp. 586-596

- Alina Bărbulescu
- American option pricing under financial crisis pp. 597-606

- Xuemei Luo, Kaili Xiang and Chuan Ding
- Modeling vehicle traffic loads by the 2D compound Poisson process pp. 607-617

- Yang Liu, Deru Li, Yingqiu Li and Haiping Zhang
- Density‐free test for symmetry verification in images pp. 618-632

- Agata Migalska
- Model‐free offline change‐point detection in multidimensional time series of arbitrary nature via ϵ‐complexity: Simulations and applications pp. 633-644

- Boris Darkhovsky and Alexandra Piryatinska
- A rule‐based method of spike detection and suppression and its application in a control system for additive manufacturing pp. 645-658

- Wojciech Rafajłowicz and Ewaryst Rafajłowicz
- Nonlinearity recovery by standard and aggregative orthogonal series algorithms pp. 659-666

- Przemysław Śliwiński, Paweł Wachel and Szymon Łagosz
- GARCH processes and the phenomenon of misleading and unambiguous signals pp. 667-681

- Beatriz Sousa, Manuel Cabral Morais, Yarema Okhrin and Wolfgang Schmid
- A new toolkit for robust distributional change detection pp. 682-699

- Anna‐Lena Kißlinger and Wolfgang Stummer
- Unspecified distributions in single disorder problem pp. 700-717

- Wojciech Sarnowski and Krzysztof Szajowski
- Algorithm based on modified angle‐based outlier factor for open‐set classification of text documents pp. 718-729

- Tomasz Walkowiak, Szymon Datko and Henryk Maciejewski
- The empirical test on investment efficiency and influence of equity incentive in supply‐side structural reform: Based on the two‐tier stochastic frontier approach pp. 730-745

- Changqian Xie and Lun Li
- Optimal consumption analysis for a stochastic growth model with technological shocks pp. 746-755

- Weipeng Yuan, Shaoyong Lai and Hanlei Hu
Volume 34, issue 4, 2018
- Statistical methods for network surveillance pp. 425-445

- Daniel R. Jeske, Nathaniel T. Stevens, Alexander G. Tartakovsky and James D. Wilson
- Discussion of “Statistical methods for network surveillance” pp. 446-448

- Srijan Sengupta and William H. Woodall
- Discussion of “Statistical methods for network surveillance” pp. 449-451

- David J. Marchette
- Discussion of “Statistical methods for network surveillance” by Daniel Jeske, Nathaniel Stevens, Alexander Tartakovsky, and James Wilson pp. 452-456

- Philipp Otto and Wolfgang Schmid
- Rejoinder to “Statistical methods for network surveillance” pp. 457-459

- Daniel R. Jeske, Nathaniel T. Stevens, Alexander G. Tartakovsky and James D. Wilson
- Sequential Bayesian learning for stochastic volatility with variance‐gamma jumps in returns pp. 460-479

- Samir P. Warty, Hedibert F. Lopes and Nicholas G. Polson
- Discussion of “Sequential Bayesian learning for stochastic volatility with variance‐gamma jumps in returns” pp. 480-481

- Nalini Ravishanker
- Discussion of “Sequential Bayesian learning for stochastic volatility with variance‐gamma jumps in returns” pp. 482-483

- Refik Soyer
- Rejoinder to “Sequential Bayesian learning for stochastic volatility with variance‐gamma jumps in returns” Reply to the discussions by Nalini Ravishanker and Refik Soyer pp. 484-485

- Samir P. Warty, Hedibert F. Lopes and Nicholas G. Polson
- An optimal burn‐in policy based on a degradation model pp. 486-498

- E. Mosayebi Omshi and S. Shemehsavar
- Pricing and hedging barrier options pp. 499-512

- Estevão Rosalino, Allan J. da Silva, Jack Baczynski and Dorival Leão
- Availability and maintenance modeling for systems subject to dependent hard and soft failures pp. 513-527

- Qingan Qiu, Lirong Cui and Jingyuan Shen
- Stochastic properties of two general versions of the residual lifetime at random times pp. 528-543

- Xiaohu Li and Rui Fang
- Warranty cost analysis: Increasing warranty repair times pp. 544-561

- Sarah Marshall, Richard Arnold, Stefanka Chukova and Yu Hayakawa
- Time series with Birnbaum‐Saunders marginal distributions pp. 562-581

- T. Rahul, N. Balakrishnan and N. Balakrishna
Volume 34, issue 3, 2018
- A special issue on: Statistical methods in mining industry pp. 259-260

- Orietta Nicolis and Rodrigo Pascual
- A nondisruptive reliability approach to assess the health of microseismic sensing networks pp. 261-277

- D. Neira, G. Soto, J. Fontbona, J. Prado and S. Gaete
- Statistical testing of availability for mining technological systems with air quality constraints pp. 278-292

- Milan Stehlík, Polychronis Economou, Ljubiša Papić, Joseph Aronov, Orietta Nicolis, Jaromír Antoch, Eliška Cézová and Jozef Kiseľák
- Risk assessment of failure of rock bolts in underground coal mines using support vector machines pp. 293-304

- Peng Jiang, Peter Craig, Alan Crosky, Mojtaba Maghrebi, Ismet Canbulat and Serkan Saydam
- A beta partial least squares regression model: Diagnostics and application to mining industry data pp. 305-321

- Mauricio Huerta, Víctor Leiva, Camilo Lillo and Marcelo Rodríguez
- Stochastic intrinsic Kriging for simulation metamodeling pp. 322-337

- Ehsan Mehdad and Jack Kleijnen
- Robust stochastic control modeling of dam discharge to suppress overgrowth of downstream harmful algae pp. 338-354

- Hidekazu Yoshioka and Yuta Yaegashi
- Estimation and application of semiparametric stochastic volatility models based on kernel density estimation and hidden Markov models pp. 355-375

- Hong‐Xia Hao, Jin‐Guan Lin, Xing‐Fang Huang, Hong‐Xia Wang and Yan‐Yong Zhao
- The Hubbert diffusion process: Estimation via simulated annealing and variable neighborhood search procedures—application to forecasting peak oil production pp. 376-394

- Istoni da Luz Sant'Ana, Patricia Román‐Román and Francisco Torres‐Ruiz
- Coherent system with standby components pp. 395-406

- Serkan Eryilmaz and T. Erman Erkan
- On a random lead time and threshold shock model using phase‐type geometric processes pp. 407-422

- Y. Sarada and R. Shenbagam
Volume 34, issue 2, 2018
- Inferring social structure from continuous‐time interaction data pp. 87-104

- Wesley Lee, Bailey Fosdick and Tyler McCormick
- Discussion of “Inferring social structure from continuous‐time interaction data” by Lee, Fosdick, and McCormick pp. 105-106

- David Banks
- Discussion of “Inferring social structure from continuous‐time interaction data” pp. 107-109

- Bruce A. Desmarais
- Rejoinder to “Inferring social structure from continuous‐time interaction data” pp. 110-112

- Wesley Lee, Bailey Fosdick and Tyler H. McCormick
- A MCMC approach for modeling customer lifetime behavior using the COM‐Poisson distribution pp. 113-127

- Mohamed Ben Mzoughia, Sharad Borle and Mohamed Limam
- Some results on information properties of coherent systems pp. 128-143

- Abdolsaeed Toomaj, Antonio Di Crescenzo and Mahdi Doostparast
- An index tracking model with stratified sampling and optimal allocation pp. 144-157

- Meihua Wang, Fengmin Xu and Yu‐Hong Dai
- Bounds for the reliability functions of coherent systems with heterogeneous components pp. 158-174

- Patryk Miziuła and Jorge Navarro
- Practical arbitrage‐free scenario tree reduction methods and their applications in financial optimization pp. 175-195

- Zhiping Chen and Zhe Yan
- Estimation and status prediction in a discrete mover‐stayer model with covariate effects on stayer's probability pp. 196-205

- Halina Frydman and Anna Matuszyk
- Reliability modelling incorporating load share and frailty pp. 206-223

- G. Asha, A. Vincent Raja and Nalini Ravishanker
- Planning accelerated life tests with random effects of test chambers pp. 224-243

- Kangwon Seo and Rong Pan
- Analysis of definitive screening designs: Screening vs prediction pp. 244-255

- Maria L. Weese, Philip J. Ramsey and Douglas C. Montgomery
Volume 34, issue 1, 2018
- Special issue on Data Fusion pp. 3-3

- Daniel R. Jeske and Min‐ge Xie
- A dynamic fusion system for fast nuclear source detection and localization with mobile sensor networks pp. 4-19

- Aude Grelaud, Priyam Mitra, Minge Xie and Rong Chen
- Combining binomial test data via two‐stage solutions pp. 20-30

- Janet Myhre, Daniel R. Jeske, Jun Li and Anne M. Hansen
- Correlated model fusion pp. 31-43

- Andrew Hoegh and Scotland Leman
- Imputation for multisource data with comparison and assessment techniques pp. 44-60

- Emily Casleton, Dave Osthus and Kendra Van Buren
- Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category pp. 61-78

- Volodymyr Serhiyenko, Nalini Ravishanker and Rajkumar Venkatesan
- Discussion of ‘Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category’ pp. 79-80

- Refik Soyer
- Discussion of ‘Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category’ by Serhiyenko, Ravishanker and Venkatesan pp. 81-81

- Hedibert F. Lopes
- Rejoinder to ‘Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category’ pp. 82-83

- Volodymyr Serhiyenko, Nalini Ravishanker and Rajkumar Venkatesan
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