{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T00:48:51Z","timestamp":1774226931606,"version":"3.50.1"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T00:00:00Z","timestamp":1704672000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T00:00:00Z","timestamp":1704672000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cent Eur J Oper Res"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s10100-023-00897-7","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T14:02:10Z","timestamp":1704722530000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Optimal model description of finance and human factor indices"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6901-9303","authenticated-orcid":false,"given":"Bet\u00fcl","family":"Kalayc\u0131","sequence":"first","affiliation":[]},{"given":"Vilda","family":"Purut\u00e7uo\u011flu","sequence":"additional","affiliation":[]},{"given":"Gerhard Wilhelm","family":"Weber","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,8]]},"reference":[{"key":"897_CR1","first-page":"8","volume":"5","author":"T Afshar","year":"2007","unstructured":"Afshar T, Arabian G, Zomorrodian R (2007) Stock return, consumer confidence, purchasing managers index and economic fluctuations. J Bus Econ Res 5:8","journal-title":"J Bus Econ Res"},{"key":"897_CR2","volume-title":"Data mining: the textbook","author":"CC Aggarwal","year":"2005","unstructured":"Aggarwal CC (2005) Data mining: the textbook. Springer"},{"key":"897_CR3","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.envsoft.2011.10.011","volume":"30","author":"P Ailliot","year":"2012","unstructured":"Ailliot P, Monbet V (2012) Markov-switching autoregressive models for wind time series. Environ Model Softw 30:92\u2013101","journal-title":"Environ Model Softw"},{"key":"897_CR4","first-page":"2","volume":"42","author":"BS Arasu","year":"2014","unstructured":"Arasu BS, Jeevananthan M, Thamaraiselvan N, Janarthanan B (2014) Performances of data mining techniques in forecasting stock index-evidence from India and US. J Natl Sci Found Sri Lanka 42:2","journal-title":"J Natl Sci Found Sri Lanka"},{"key":"897_CR5","first-page":"304","volume":"162","author":"I Arisoy","year":"2012","unstructured":"Arisoy I (2012) A VAR analysis of the relationship between confidence indexes and selected macroeconomic variables: the case for Turkey. Int J Commerce Finance 162:304\u2013315 (in Turkish)","journal-title":"Int J Commerce Finance"},{"issue":"3","key":"897_CR6","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1016\/j.ejor.2017.12.011","volume":"270","author":"E Ayy\u0131ld\u0131z","year":"2018","unstructured":"Ayy\u0131ld\u0131z E, Purut\u00e7uo\u011flu V, Weber GW (2018) Loop-based conic multivariate adaptive regression splines is a novel method for advanced construction of complex biological networks. Eur J Oper Res 270(3):852\u2013861","journal-title":"Eur J Oper Res"},{"issue":"8","key":"897_CR7","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1007\/s00521-010-0362-z","volume":"19","author":"A Bahrammirzaee","year":"2010","unstructured":"Bahrammirzaee A (2010) A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Comput Appl 19(8):1165\u20131195","journal-title":"Neural Comput Appl"},{"issue":"4","key":"897_CR8","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1111\/j.1540-6261.2006.00885.x","volume":"61","author":"M Baker","year":"2006","unstructured":"Baker M, Wurgler J (2006) Investor sentiment and the cross-section of stock returns. J Financ 61(4):1645\u20131680","journal-title":"J Financ"},{"issue":"2","key":"897_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1257\/jep.21.2.129","volume":"21","author":"M Baker","year":"2007","unstructured":"Baker M, Wurgler J (2007) Investor sentiment in the stock market. J Econ Perspect 21(2):129\u2013151","journal-title":"J Econ Perspect"},{"key":"897_CR10","first-page":"173","volume":"14","author":"\u00c7 Ba\u015far\u0131r","year":"2019","unstructured":"Ba\u015far\u0131r \u00c7, Bicil IM, Y\u0131lmaz \u00d6 (2019) The relationship between selected financial and macroeconomic variables with consumer confidence index. J Ya\u015far Univ 14:173\u2013183","journal-title":"J Ya\u015far Univ"},{"issue":"510","key":"897_CR11","first-page":"126","volume":"4","author":"JA Bilmes","year":"1998","unstructured":"Bilmes JA (1998) A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Int Comput Sci Inst 4(510):126","journal-title":"Int Comput Sci Inst"},{"key":"897_CR12","unstructured":"Bormann SK (2013) Sentiment indices on financial markets: what do they measure? Technical report, economics discussion papers"},{"key":"897_CR13","volume-title":"Classification and regression trees","author":"L Breiman","year":"1984","unstructured":"Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Wadsworth and Brooks, Monterey"},{"key":"897_CR14","unstructured":"Chris B (2008) Introductory econometrics for finance"},{"key":"897_CR15","unstructured":"Cobb L (1981) Stochastic differential equations for the social sciences. In: Mathematical frontiers of the social and policy sciences, pp 37\u201368"},{"key":"897_CR16","volume-title":"The complexity vision and the teaching of economics","author":"D Colander","year":"2000","unstructured":"Colander D (2000) The complexity vision and the teaching of economics. Edward Elgar Publishing"},{"key":"897_CR17","doi-asserted-by":"crossref","unstructured":"Cootes TF, Ionita MC, Lindner C, Sauer P (2012) Robust and accurate shape model fitting using random forest regression voting. In: Computer vision\u2013ECCV 2012: 12th European conference on computer vision, Florence, Italy, October 7\u201313, 2012, proceedings, Part VII 12. Springer, Berlin, pp 278\u2013291","DOI":"10.1007\/978-3-642-33786-4_21"},{"issue":"3","key":"897_CR18","doi-asserted-by":"publisher","first-page":"189","DOI":"10.14358\/PERS.82.3.189","volume":"82","author":"JW Coulston","year":"2016","unstructured":"Coulston JW, Blinn CE, Thomas VA, Wynne RH (2016) Approximating prediction uncertainty for random forest regression models. Photogramm Eng Remote Sens 82(3):189\u2013197","journal-title":"Photogramm Eng Remote Sens"},{"key":"897_CR19","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-030-37141-8_10","volume":"31","author":"ED Dar","year":"2020","unstructured":"Dar ED, Purut\u00e7uo\u011flu V, Purut\u00e7uo\u011flu E (2020) Detection of HIV-1 protease cleavage sites via hidden Markov model. Numer Solut Realist Nonlinear Phenom 31:171\u2013193","journal-title":"Numer Solut Realist Nonlinear Phenom"},{"issue":"11","key":"897_CR20","doi-asserted-by":"publisher","first-page":"1807","DOI":"10.1101\/gr.GR-1460R","volume":"10","author":"RV Davuluri","year":"2000","unstructured":"Davuluri RV, Suzuki Y, Sugano S, Zhang MQ (2000) Cart classification of human 5\u2019UTR sequences. Genome Res 10(11):1807\u20131816","journal-title":"Genome Res"},{"issue":"4","key":"897_CR21","doi-asserted-by":"publisher","first-page":"633","DOI":"10.2307\/1519924","volume":"48","author":"S De Boef","year":"2004","unstructured":"De Boef S, Kellstedt PM (2004) The political (and economic) origins of consumer confidence. Am J Polit Sci 48(4):633\u2013649","journal-title":"Am J Polit Sci"},{"issue":"3","key":"897_CR22","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.1016\/j.eswa.2010.07.117","volume":"38","author":"J De Andr\u00e9s","year":"2011","unstructured":"De Andr\u00e9s J, Lorca P, de Cos Juez FJ, S\u00e1nchez-Lasheras F (2011) Bankruptcy forecasting: a hybrid approach using fuzzy c-means clustering and multivariate adaptive regression splines (MARS). Expert Syst Appl 38(3):1866\u20131875","journal-title":"Expert Syst Appl"},{"issue":"4","key":"897_CR23","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1257\/jep.15.4.157","volume":"15","author":"R Engle","year":"2001","unstructured":"Engle R (2001) Garch 101: the use of arch\/garch models in applied econometrics. J Econ Perspect 15(4):157\u2013168","journal-title":"J Econ Perspect"},{"key":"897_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-023-00875-z","author":"T Ewertowski","year":"2023","unstructured":"Ewertowski T, G\u00fcldo\u011fu\u015f B\u00c7, Kuter S, Aky\u00fcz S, Weber GW, Sad\u0142owska-Wrzesi\u0144ska J, Racek E (2023) The use of machine learning techniques for assessing the potential of organizational resilience. CEJOR. https:\/\/doi.org\/10.1007\/s10100-023-00875-z","journal-title":"CEJOR"},{"key":"897_CR25","volume-title":"The elements of statistical learning. Springer series in statistics","author":"J Friedman","year":"2001","unstructured":"Friedman J, Hastie T, Tibshirani R (2001) The elements of statistical learning. Springer series in statistics, vol 1. Springer, Berlin"},{"key":"897_CR26","unstructured":"Frydman CD (2012) Essays in neurofinance. PhD thesis, California Institute of Technology"},{"issue":"9","key":"897_CR27","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1016\/j.tics.2016.07.003","volume":"20","author":"C Frydman","year":"2016","unstructured":"Frydman C, Camerer CF (2016) The psychology and neuroscience of financial decision making. Trends Cogn Sci 20(9):661\u2013675","journal-title":"Trends Cogn Sci"},{"issue":"2","key":"897_CR28","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s10100-011-0234-3","volume":"21","author":"S Giebel","year":"2013","unstructured":"Giebel S, Rainer M (2013) Neural network calibrated stochastic processes: forecasting financial assets. CEJOR 21(2):277\u2013293","journal-title":"CEJOR"},{"key":"897_CR29","first-page":"1","volume":"8","author":"B G\u00fcrb\u00fcz","year":"2022","unstructured":"G\u00fcrb\u00fcz B, Mawengkang H, Husein I, Weber GW (2022) Rumour propagation: an operational research approach by computational and information theory. Central Eur J Oper Res 8:1\u201321","journal-title":"Central Eur J Oper Res"},{"key":"897_CR30","doi-asserted-by":"crossref","unstructured":"Hamilton JD (2010) Regime switching models. In: Macroeconometrics and time series analysis. Springer, pp 202\u2013209","DOI":"10.1057\/9780230280830_23"},{"key":"897_CR31","doi-asserted-by":"crossref","unstructured":"Hassan MR, Nath B (2005) Stock market forecasting using hidden Markov model: a new approach. In 5th International conference on intelligent systems design and applications (ISDA\u201905). IEEE, pp 192\u2013196","DOI":"10.1109\/ISDA.2005.85"},{"issue":"24","key":"897_CR32","doi-asserted-by":"publisher","first-page":"5917","DOI":"10.1080\/03610926.2019.1622731","volume":"49","author":"Y Huang","year":"2020","unstructured":"Huang Y (2020) Estimation and testing of nonparametric hidden Markov model with application in stock market. Commun Stat Theory Methods 49(24):5917\u20135929","journal-title":"Commun Stat Theory Methods"},{"issue":"2","key":"897_CR33","first-page":"17","volume":"35","author":"TU Islam","year":"2016","unstructured":"Islam TU, Mumtaz MN (2016) Consumer confidence index and economic growth: an empirical analysis of EU countries. EuroEconomica 35(2):17\u201322","journal-title":"EuroEconomica"},{"issue":"1","key":"897_CR34","first-page":"79","volume":"4","author":"S Jadhav","year":"2017","unstructured":"Jadhav S, He H, Jenkins KW (2017) An academic review: applications of data mining techniques in the finance industry. Int J Soft Comput Artif Intell 4(1):79\u201395","journal-title":"Int J Soft Comput Artif Intell"},{"key":"897_CR35","unstructured":"Kalayc\u0131 B (2017) Identification of coupled systems of stochastic differential equations in finance including investor sentiment by multivariate adaptive regression splines, Ph.D. thesis, Middle East Technical University"},{"key":"897_CR36","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s10479-020-03757-8","volume":"295","author":"B Kalayc\u0131","year":"2020","unstructured":"Kalayc\u0131 B, Ozmen A, Weber G-W (2020) Mutual relevance of investor sentiment and finance by modeling coupled stochastic with MARS. Ann Oper Res 295:183\u2013206","journal-title":"Ann Oper Res"},{"issue":"3","key":"897_CR37","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1016\/j.dss.2012.11.012","volume":"54","author":"L-J Kao","year":"2013","unstructured":"Kao L-J, Chiu C-C, Lu C-J, Chang C-H (2013) A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting. Decis Support Syst 54(3):1228\u20131244","journal-title":"Decis Support Syst"},{"issue":"2","key":"897_CR38","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s10614-019-09908-9","volume":"55","author":"C Katris","year":"2020","unstructured":"Katris C (2020) Prediction of unemployment rates with time series and machine learning techniques. Comput Econ 55(2):673\u2013706","journal-title":"Comput Econ"},{"issue":"1","key":"897_CR39","first-page":"24","volume":"38","author":"T Korkmaz","year":"2009","unstructured":"Korkmaz T, \u00c7evik E (2009) Reel kesim g\u00fcven endeksi ile imkb 100 endeksi aras\u0131ndaki dinamik nedensellik ili\u015fkisi. \u0130stanbul \u00dcniversitesi I\u015fletme Fak\u00fcltesi Dergisi 38(1):24\u201337","journal-title":"\u0130stanbul \u00dcniversitesi I\u015fletme Fak\u00fcltesi Dergisi"},{"key":"897_CR40","volume-title":"Introduction to stochastic calculus applied to finance","author":"D Lamberton","year":"2017","unstructured":"Lamberton D, Lapeyre B (2017) Introduction to stochastic calculus applied to finance. CRC Press"},{"issue":"4","key":"897_CR41","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1016\/j.eswa.2004.12.031","volume":"28","author":"T-S Lee","year":"2005","unstructured":"Lee T-S, Chen I-F (2005) A two-stage hybrid credit-scoring model using artificial neural networks and multivariate adaptive regression splines. Expert Syst Appl 28(4):743\u2013752","journal-title":"Expert Syst Appl"},{"issue":"4","key":"897_CR42","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1016\/j.csda.2004.11.006","volume":"50","author":"T-S Lee","year":"2006","unstructured":"Lee T-S, Chiu C-C, Chou Y-C, Lu C-J (2006) Mining the customer credit using classification and regression tree and multivariate adaptive regression splines. Comput Stat Data Anal 50(4):1113\u20131130","journal-title":"Comput Stat Data Anal"},{"key":"897_CR43","unstructured":"Lee J, Shin M (2009) Stock forecasting using hidden Markov processes, Cs229, Project. http:\/\/cs229.stanford.edu\/proj2009\/ShinLee.Pdf"},{"key":"897_CR44","unstructured":"Lee TS, Yang CC (2004) Incorporating financial ratios and intellectual capital in bankruptcy predictions. In: Proceedings of the National Taiwan University international conference in finance, Taiwan, December, pp 20\u201321"},{"key":"897_CR45","unstructured":"Li N (2016) Hidden Markov model and financial application, Ph.D. thesis, The University of Texas at Austin, Austin, TX, USA"},{"issue":"14","key":"897_CR46","first-page":"3149","volume":"4","author":"SL Lin","year":"2010","unstructured":"Lin SL (2010) A two-stage logistic regression-ANN model for the prediction of distress banks: evidence from 11 emerging countries. Afr J Bus Manag 4(14):3149\u20133168","journal-title":"Afr J Bus Manag"},{"issue":"1","key":"897_CR47","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1111\/j.1469-1809.2011.00692.x","volume":"76","author":"H-Y Lin","year":"2012","unstructured":"Lin H-Y, Ann Chen Y, Tsai Y-Y, Qu X, Tseng T-S, Park JY (2012) Trm: a powerful two-stage machine learning approach for identifying SNP\u2013SNP interactions. Ann Hum Genet 76(1):53\u201362","journal-title":"Ann Hum Genet"},{"key":"897_CR48","doi-asserted-by":"crossref","unstructured":"Lu CJ, Chang CH, Chen CY, Chiu CC, Lee TS (2009) Stock index prediction: a comparison of mars, BPN and SVR in an emerging market. In: 2009 IEEE international conference on industrial engineering and engineering management, pp 2343\u20132347","DOI":"10.1109\/IEEM.2009.5373010"},{"key":"897_CR49","unstructured":"Milborrow S (2014) Notes on the earth package. Retrieved October 31, p 2017"},{"key":"897_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.cscm.2022.e01262","volume":"17","author":"AH Naser","year":"2022","unstructured":"Naser AH, Badr AH, Henedy SN, Ostrowski KA, Imran H (2022) Application of multivariate adaptive regression splines (MARS) approach in prediction of compressive strength of eco-friendly concrete. Case Stud Construct Mater 17:e01262","journal-title":"Case Stud Construct Mater"},{"key":"897_CR51","volume-title":"Stochastic differential equations: an introduction with applications","author":"B Oksendal","year":"2013","unstructured":"Oksendal B (2013) Stochastic differential equations: an introduction with applications. Springer"},{"issue":"2","key":"897_CR52","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1007\/s10100-019-00628-x","volume":"28","author":"NF Ozkan","year":"2020","unstructured":"Ozkan NF, Ulutas BH, Michalski R (2020) Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations. CEJOR 28(2):761\u2013777","journal-title":"CEJOR"},{"key":"897_CR53","unstructured":"\u00d6zmen A (2010) Robust conic quadratic programming in applied to quality improvement, a robustification of CMARS, MSC thesis at IAM, METU, Ankara, Turkey"},{"key":"897_CR54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30800-5","volume-title":"Robust optimization of spline models and complex regulatory networks","author":"A \u00d6zmen","year":"2016","unstructured":"\u00d6zmen A (2016) Robust optimization of spline models and complex regulatory networks. Springer"},{"issue":"1\u20132","key":"897_CR55","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.1007\/s10479-022-04993-w","volume":"324","author":"A \u00d6zmen","year":"2023","unstructured":"\u00d6zmen A, Zinchenko Y, Weber G-W (2023) Robust multivariate adaptive regression splines under cross-polytope uncertainty: an application in a natural gas market. Ann Oper Res 324(1\u20132):1337\u20131367","journal-title":"Ann Oper Res"},{"key":"897_CR56","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.swevo.2017.05.003","volume":"36","author":"V Ravi","year":"2017","unstructured":"Ravi V, Pradeepkumar D, Deb K (2017) Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm Evol Comput 36:136\u2013149","journal-title":"Swarm Evol Comput"},{"key":"897_CR57","doi-asserted-by":"crossref","unstructured":"Rodriguez LJ, Torres I (2003) Comparative study of the Baum-Welch and Viterbi training algorithms applied to read and spontaneous speech recognition. In: Iberian conference on pattern recognition and image analysis. Springer, pp 847\u2013857","DOI":"10.1007\/978-3-540-44871-6_98"},{"key":"897_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/23322039.2019.1600233","volume":"7","author":"L Rupande","year":"2019","unstructured":"Rupande L, Muguto HT, Muzindutsi P-F (2019) Investor sentiment and stock return volatility: evidence from the Johannesburg stock exchange. Cogent Econ Finance 7:1","journal-title":"Cogent Econ Finance"},{"key":"897_CR59","unstructured":"Sanchez-Espigares JA, Lopez-Moreno A, Sanchez-Espigares MJA (2015) Package \u2018MSwM\u2019. JA Sanchez-Espigare"},{"key":"897_CR60","doi-asserted-by":"crossref","unstructured":"Sauer T (2012) Numerical solution of stochastic differential equations in finance. In: Handbook of computational finance. Springer, pp 529\u2013550","DOI":"10.1007\/978-3-642-17254-0_19"},{"issue":"2","key":"897_CR61","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1080\/00031305.1984.10483182","volume":"38","author":"JG Saw","year":"1984","unstructured":"Saw JG, Yang MC, Mo TC (1984) Chebyshev inequality with estimated mean and variance. Am Stat 38(2):130\u2013132","journal-title":"Am Stat"},{"key":"897_CR62","unstructured":"Se\u00e7ilmi\u015f D (2017) Deterministic modeling and inference of biochemical networks, Ph.D. thesis, Middle East Technical University"},{"key":"897_CR63","doi-asserted-by":"crossref","unstructured":"Sephton P (2001) Forecasting recessions: can we do better on MARS. Federal Reserve Bank of St. Louis Review, 83(March\/April 2001)","DOI":"10.20955\/r.83.39-50"},{"issue":"6","key":"897_CR64","first-page":"126","volume":"8","author":"MZ Shariff","year":"2012","unstructured":"Shariff MZ, Al-Khasawneh J, Al-Mutawa M (2012) Risk and reward: a neurofinance perspective. Int Rev Bus Res Pap 8(6):126\u2013133","journal-title":"Int Rev Bus Res Pap"},{"issue":"12","key":"897_CR65","doi-asserted-by":"publisher","first-page":"2727","DOI":"10.1162\/089976603322518731","volume":"15","author":"J S\u00edma","year":"2003","unstructured":"S\u00edma J, Orponen P (2003) General-purpose computation with neural networks: a survey of complexity theoretic results. Neural Comput 15(12):2727\u20132778","journal-title":"Neural Comput"},{"issue":"13","key":"897_CR66","first-page":"2616","volume":"98","author":"R Syah","year":"2020","unstructured":"Syah R, Nasution MK, Elveny M, Arbie H (2020) Optimization model for customer behavior with MARS and KYC system. J Theor Appl Inf Technol 98(13):2616\u20132627","journal-title":"J Theor Appl Inf Technol"},{"key":"897_CR67","doi-asserted-by":"crossref","unstructured":"Talavera A, Luna A (2019) Operational research and machine learning: an engineering course. In: 2019 IEEE world conference on engineering education (EDUNINE), pp 1\u20135","DOI":"10.1109\/EDUNINE.2019.8875770"},{"key":"897_CR68","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/v10051-008-0020-8","volume":"41","author":"P Taylan","year":"2008","unstructured":"Taylan P, Weber G-W (2008) Organization in finance prepared by stochastic differential equations with additive and nonlinear models and continuous optimization. Organizacija 41:5","journal-title":"Organizacija"},{"issue":"16","key":"897_CR69","first-page":"149","volume":"17","author":"P Taylan","year":"2010","unstructured":"Taylan P, Weber G-W, Y\u0131ld\u0131rak K, G\u00f6rg\u00fcl\u00fc Z-K (2010a) Financial regression and organization. Special Issue Optim Finance DCDIS-B 17(16):149\u2013174","journal-title":"Special Issue Optim Finance DCDIS-B"},{"key":"897_CR70","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s11750-010-0155-7","volume":"18","author":"P Taylan","year":"2010","unstructured":"Taylan P, Weber G-W, Yerlikaya \u00d6zkurt F (2010b) A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization. TOP 18:377\u2013395","journal-title":"TOP"},{"key":"897_CR71","volume-title":"Estimation of hidden Markov models and their applications in finance","author":"A Tenyakov","year":"2014","unstructured":"Tenyakov A (2014) Estimation of hidden Markov models and their applications in finance. The University of Western Ontario"},{"issue":"4","key":"897_CR72","first-page":"7","volume":"3","author":"K Tseng","year":"2006","unstructured":"Tseng K (2006) Behavioral finance, bounded rationality, neuro-finance, and traditional finance. Invest Manag Financ Innov 3(4):7\u201318","journal-title":"Invest Manag Financ Innov"},{"issue":"2","key":"897_CR73","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s10100-020-00676-8","volume":"28","author":"G-W Weber","year":"2020","unstructured":"Weber G-W, Hankievicz K (2020) Human factors in a contemporary organization. CEJOR 28(2):579\u2013587","journal-title":"CEJOR"},{"key":"897_CR74","volume-title":"Operation research in neuroscience: a recent perspective of operation research application in finance. Operations research","author":"G-W Weber","year":"2022","unstructured":"Weber G-W, Purutcuoglu V, Kalayc\u0131 B (2022) Operation research in neuroscience: a recent perspective of operation research application in finance. Operations research. CRC Press"},{"issue":"1","key":"897_CR75","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10100-022-00805-5","volume":"31","author":"G-W Weber","year":"2023","unstructured":"Weber G-W, Kucharska MG, Olzewski R (2023) The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland region. CEJOR 31(1):205\u2013237","journal-title":"CEJOR"},{"issue":"1","key":"897_CR76","doi-asserted-by":"publisher","first-page":"170","DOI":"10.4304\/jcp.8.1.170-177","volume":"8","author":"D Yao","year":"2013","unstructured":"Yao D, Yang J, Zhan X (2013) A novel method for disease prediction: hybrid of random forest and multivariate adaptive regression splines. J Comput 8(1):170\u2013177","journal-title":"J Comput"},{"key":"897_CR77","unstructured":"Yerlikaya-Ozkurt F (2013) Refinements, extensions and modern applications of conic multivariate regression splines. Ph.D. thesis, Middle East Technical University, Ankara, Turkey"},{"key":"897_CR78","doi-asserted-by":"crossref","unstructured":"Yerlikaya-Ozkurt F, Weber GW (2013) Identification of stochastic differential equations by conic optimization of multivariate adaptive regression splines. Preprint 2013\u201320, IAM, METU, Ankara, Turkey","DOI":"10.32614\/CRAN.package.cmaRs"},{"key":"897_CR79","doi-asserted-by":"crossref","unstructured":"Zhang Y, Zhao D, Liu J (2014) The application of Baum\u2013Welch algorithm in multistep attack. Sci World J","DOI":"10.1155\/2014\/374260"},{"issue":"4","key":"897_CR80","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1111\/j.1540-6288.2011.00318.x","volume":"46","author":"M Zouaoui","year":"2011","unstructured":"Zouaoui M, Nouyrigat G, Beer F (2011) How does investor sentiment affect stock market crises: evidence from panel data. Financ Rev 46(4):723\u2013747","journal-title":"Financ Rev"}],"container-title":["Central European Journal of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10100-023-00897-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10100-023-00897-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10100-023-00897-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T17:04:17Z","timestamp":1737219857000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10100-023-00897-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,8]]},"references-count":80,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["897"],"URL":"https:\/\/doi.org\/10.1007\/s10100-023-00897-7","relation":{},"ISSN":["1435-246X","1613-9178"],"issn-type":[{"value":"1435-246X","type":"print"},{"value":"1613-9178","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,8]]},"assertion":[{"value":"30 November 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 January 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}