Ghost hunting in the nonlinear dynamic machine
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0226572
Download full text from publisher
References listed on IDEAS
- Vivien Marx, 2013. "The big challenges of big data," Nature, Nature, vol. 498(7453), pages 255-260, June.
- Sims, Christopher A, 1971. "Discrete Approximations to Continuous Time Distributed Lags in Econometrics," Econometrica, Econometric Society, vol. 39(3), pages 545-563, May.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Hakan Pabuccu & Serdar Ongan & Ayse Ongan, 2023. "Forecasting the movements of Bitcoin prices: an application of machine learning algorithms," Papers 2303.04642, arXiv.org.
- Tarkocin, Coskun & Donduran, Murat, 2024. "Constructing early warning indicators for banks using machine learning models," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
- Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lin Zhu & Xiantao Liu & Sha He & Jun Shi & Ming Pang, 2015. "Keywords co-occurrence mapping knowledge domain research base on the theory of Big Data in oil and gas industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 249-260, October.
- Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
- Alexandre Petkovic & David Veredas, 2009.
"Aggregation of linear models for panel data,"
Working Papers ECARES
2009-012, ULB -- Universite Libre de Bruxelles.
- Alexandre Petkovic & David Veredas, 2010. "Aggregation of linear models for panel data," ULB Institutional Repository 2013/136203, ULB -- Universite Libre de Bruxelles.
- Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
- Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
- Peter C. B. Phillips & Jun Yu, 2005. "Comments on “A selective overview of nonparametric methods in financial econometricsâ€Â," Finance Working Papers 22469, East Asian Bureau of Economic Research.
- Lawrence J. Christiano, 1980. "The term structure of interest rates and the aliasing identification problem," Working Papers 165, Federal Reserve Bank of Minneapolis.
- Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021.
"The real effects of financial uncertainty shocks: A daily identification approach,"
Working Papers
61, Red Nacional de Investigadores en Economía (RedNIE).
- Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The Real Effects of Financial Uncertainty Shocks: A Daily Identification Approach," Documentos de Trabajo 559, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Jean-Marie Dufour, 2003.
"Identification, weak instruments, and statistical inference in econometrics,"
Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
- Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
- DUFOUR, Jean-Marie, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," Cahiers de recherche 2003-12, Universite de Montreal, Departement de sciences economiques.
- DUFOUR, Jean-Marie, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," Cahiers de recherche 10-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Jun Feng & Zhenting Li & Shizhen Zhang & Chun Bao & Jingxian Fang & Yun Yin & Bolei Chen & Lei Pan & Bing Wang & Yu Zheng, 2023. "A Microimage-Processing-Based Technique for Detecting Qualitative and Quantitative Characteristics of Plant Cells," Agriculture, MDPI, vol. 13(9), pages 1-16, September.
- Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
- Mercenier, Jean & Michel, Philippe, 2001.
"Temporal aggregation in a multi-sector economy with endogenous growth,"
Journal of Economic Dynamics and Control, Elsevier, vol. 25(8), pages 1179-1191, August.
- Mercenier, J. & Michel, P., 1995. "Temporal Aggregation in a Multi-Sector Economy with Endogenous Growth," Cahiers de recherche 9540, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Jean Mercenier & Philippe Michel, 1995. "Temporal aggregation in a multi-sector economy with endogenous growth," Working Papers 554, Federal Reserve Bank of Minneapolis.
- Mercenier, J. & Michel, P., 1995. "Temporal Aggregation in a Multi-Sector Economy with Endogenous Growth," Cahiers de recherche 9540, Universite de Montreal, Departement de sciences economiques.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022.
"Nowcasting with large Bayesian vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
- Aadland, David, 2005.
"Detrending time-aggregated data,"
Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Working Papers 2002-05, Utah State University, Department of Economics.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Macroeconomics 0301007, University Library of Munich, Germany.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Microeconomics 0211015, University Library of Munich, Germany.
- Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
- Palm, Franz C & Nijman, Theo E, 1984.
"Missing Observations in the Dynamic Regression Model,"
Econometrica, Econometric Society, vol. 52(6), pages 1415-1435, November.
- Palm, F.C. & Nijman, Th., 1982. "Missing observations in the dynamic regression model," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Nijman, T.E. & Palm, F.C., 1984. "Missing observations in the dynamic regression model," Other publications TiSEM 4d689d7c-4d89-4ab6-b8c3-f, Tilburg University, School of Economics and Management.
- Lo, Andrew W., 1988.
"Maximum Likelihood Estimation of Generalized Itô Processes with Discretely Sampled Data,"
Econometric Theory, Cambridge University Press, vol. 4(2), pages 231-247, August.
- Andrew W. Lo, "undated". "Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data," Rodney L. White Center for Financial Research Working Papers 15-86, Wharton School Rodney L. White Center for Financial Research.
- Andrew W. Lo, 1986. "Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data," NBER Technical Working Papers 0059, National Bureau of Economic Research, Inc.
- Haitham Nobanee & Mehroz Nida Dilshad & Mona Al Dhanhani & Maitha Al Neyadi & Sultan Al Qubaisi & Saeed Al Shamsi, 2021. "Big Data Applications the Banking Sector: A Bibliometric Analysis Approach," SAGE Open, , vol. 11(4), pages 21582440211, December.
- Andrea Silvestrini & David Veredas, 2008.
"Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey,"
Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: a survey," ULB Institutional Repository 2013/136205, ULB -- Universite Libre de Bruxelles.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
- SILVESTRINI, Andrea & VEREDAS, David, 2009. "Temporal aggregation of univariate and multivariate time series models: A survey," LIDAM Reprints CORE 2013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Reza Farrahi Moghaddam & Fereydoun Farrahi Moghaddam & Mohamed Cheriet, 2014. "A Multi-Entity Input Output (MEIO) Approach to Sustainability - Water-Energy-GHG (WEG) Footprint Statements in Use Cases from Auto and Telco Industries," Papers 1404.6227, arXiv.org, revised Apr 2014.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0226572. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.