Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Gao, Jiti & King, Maxwell & Lu, Zudi & Tjøstheim, Dag, 2009.
"Nonparametric Specification Testing For Nonlinear Time Series With Nonstationarity,"
Econometric Theory, Cambridge University Press, vol. 25(6), pages 1869-1892, December.
- Jiti Gao & Maxwell King & Zudi Lu & Dag Tjøstheim, 2009. "Nonparametric Specification Testing for Nonlinear Time Series with Nonstationarity," School of Economics and Public Policy Working Papers 2009-03, University of Adelaide, School of Economics and Public Policy.
- Nadezda A Bykova & Alexander V Favorov & Andrey A Mironov, 2013. "Hidden Markov Models for Evolution and Comparative Genomics Analysis," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-9, June.
- Liang-Cheng Chang & Hone-Jay Chu & Chin-Tsai Hsiao, 2012. "Integration of Optimal Dynamic Control and Neural Network for Groundwater Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1253-1269, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yu-ting Bai & Xue-bo Jin & Xiao-yi Wang & Xiao-kai Wang & Ji-ping Xu, 2020. "Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis," IJERPH, MDPI, vol. 17(1), pages 1-19, January.
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.- Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014.
"Semiparametric methods in nonlinear time series analysis: a selective review,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
- Patrick Saart & Jiti Gao, 2012. "Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review," Monash Econometrics and Business Statistics Working Papers 21/12, Monash University, Department of Econometrics and Business Statistics.
- Gao, Jiti & Kanaya, Shin & Li, Degui & Tjøstheim, Dag, 2015.
"Uniform Consistency For Nonparametric Estimators In Null Recurrent Time Series,"
Econometric Theory, Cambridge University Press, vol. 31(5), pages 911-952, October.
- Jiti Gao & Degui Li & Dag Tjostheim, 2009. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," School of Economics and Public Policy Working Papers 2009-26, University of Adelaide, School of Economics and Public Policy.
- Jiti Gao & Shin Kanaya & Degui Li & Dag Tjøstheim, 2013. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," CREATES Research Papers 2013-29, Department of Economics and Business Economics, Aarhus University.
- Jiti Gao & Degui Li & Dag Tjøstheim, 2011. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," Monash Econometrics and Business Statistics Working Papers 13/11, Monash University, Department of Econometrics and Business Statistics.
- Vasiliki Christou & Konstantinos Fokianos, 2014. "Quasi-Likelihood Inference For Negative Binomial Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 55-78, January.
- Russell Davidson & Victoria Zinde‐Walsh, 2017.
"Advances in specification testing,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
- Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1595-1631, December.
- Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Post-Print hal-01684821, HAL.
- Gan, Li & Hsiao, Cheng & Xu, Shu, 2014. "Model specification test with correlated but not cointegrated variables," Journal of Econometrics, Elsevier, vol. 178(P1), pages 80-85.
- Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2015.
"Estimation And Inference For Varying-Coefficient Models With Nonstationary Regressors Using Penalized Splines,"
Econometric Theory, Cambridge University Press, vol. 31(4), pages 753-777, August.
- Chen, Haiqiang & Fang, Ying & Li, Yingxing, 2013. "Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines," SFB 649 Discussion Papers 2013-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- repec:wyi:journl:002195 is not listed on IDEAS
- Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Inference of Grouped Time-Varying Network Vector Autoregression Models," Monash Econometrics and Business Statistics Working Papers 5/23, Monash University, Department of Econometrics and Business Statistics.
- Jiti Gao & Peter C.B. Phillips, 2011. "Semiparametric Estimation in Multivariate Nonstationary Time Series Models," Monash Econometrics and Business Statistics Working Papers 17/11, Monash University, Department of Econometrics and Business Statistics.
- repec:hum:wpaper:sfb649dp2013-033 is not listed on IDEAS
- Jiti Gao & Maxwell King, 2012. "An Improved Nonparametric Unit-Root Test," Monash Econometrics and Business Statistics Working Papers 16/12, Monash University, Department of Econometrics and Business Statistics.
- Wang, Bin & Zheng, Xu, 2022. "Testing for the presence of jump components in jump diffusion models," Journal of Econometrics, Elsevier, vol. 230(2), pages 483-509.
- Jia Chen & Jiti Gao & Degui Li & Zhengyan Lin, 2015.
"Specification testing in nonstationary time series models,"
Econometrics Journal, Royal Economic Society, vol. 18(1), pages 117-136, February.
- Jia Chen & Jiti Gao & Degui Li & Zhengyan Lin, 2014. "Specification Testing in Nonstationary Time Series Models," Discussion Papers 14/19, Department of Economics, University of York.
- Phillips, Peter C.B. & Wang, Ying, 2022.
"Functional coefficient panel modeling with communal smoothing covariates,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 371-407.
- Peter C.B. Phillips & Ying Wang, 2019. "Functional Coefficient Panel Modeling with Communal Smoothing Covariates," Cowles Foundation Discussion Papers 2193, Cowles Foundation for Research in Economics, Yale University.
- Malikov, Emir & Sun, Yiguo, 2017.
"Semiparametric estimation and testing of smooth coefficient spatial autoregressive models,"
Journal of Econometrics, Elsevier, vol. 199(1), pages 12-34.
- Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
- Sina Sadeghfam & Yousef Hassanzadeh & Rahman Khatibi & Ata Allah Nadiri & Marjan Moazamnia, 2019. "Groundwater Remediation through Pump-Treat-Inject Technology Using Optimum Control by Artificial Intelligence (OCAI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1123-1145, February.
- Dong, Chaohua & Gao, Jiti & Tjøstheim, Dag & Yin, Jiying, 2017.
"Specification testing for nonlinear multivariate cointegrating regressions,"
Journal of Econometrics, Elsevier, vol. 200(1), pages 104-117.
- Chaohua Dong & Jiti Gao & Dag Tjostheim & Jiying Yin, 2014. "Specification Testing for Nonlinear Multivariate Cointegrating Regressions," Monash Econometrics and Business Statistics Working Papers 8/14, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Dag Tjostheim & Jiying Yin, 2016. "Specification Testing for Nonlinear Multivariate Cointegrating Regressions," Monash Econometrics and Business Statistics Working Papers 14/16, Monash University, Department of Econometrics and Business Statistics.
- Sepideh Mosaferi & Mark S. Kaiser, 2021. "Nonparametric Cointegrating Regression Functions with Endogeneity and Semi-Long Memory," Papers 2111.00972, arXiv.org, revised Aug 2022.
- Gao, Jiti & Tjøstheim, Dag & Yin, Jiying, 2013.
"Estimation in threshold autoregressive models with a stationary and a unit root regime,"
Journal of Econometrics, Elsevier, vol. 172(1), pages 1-13.
- Jiti Gao & Dag Tjøstheim & Jiying Yin, 2011. "Estimation in threshold autoregressive models with a stationary and a unit root regime," Monash Econometrics and Business Statistics Working Papers 21/11, Monash University, Department of Econometrics and Business Statistics.
- Shishir Gaur & Sudheer Ch & Didier Graillot & B. Chahar & D. Kumar, 2013. "Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 927-941, February.
- Chaohua Dong & Jiti Gao, 2012. "Specification Testing Driven by Orthogonal Series in Nonstationary Time Series Models," Monash Econometrics and Business Statistics Working Papers 20/12, Monash University, Department of Econometrics and Business Statistics.
- Gao, Jiti, 2012. "Identification, Estimation and Specification in a Class of Semi-Linear Time Series Models," MPRA Paper 39256, University Library of Munich, Germany, revised 14 May 2012.
More about this item
Keywords
time series prediction; unknown inference; atmospheric quality; neural network;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jijerp:v:16:y:2019:i:20:p:3788-:d:274370. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.