@article{Wu2019,
author = {Wu, Xia and Marshall, Lucy and Sharma, Ashish},
doi = {https://doi.org/10.1016/j.envsoft.2019.104493},
file = {:C$\backslash$:/Users/z5154277/Documents/Mendeley Desktop/1-s2.0-S1364815218310557-main.pdf:pdf},
issn = {1364-8152},
journal = {Environmental Modelling {\&} Software},
mendeley-groups = {Climatology},
pages = {104493},
title = {{The influence of data transformations in simulating Total Suspended Solids using Bayesian inference}},
type = {Journal Article},
url = {http://www.sciencedirect.com/science/article/pii/S1364815218310557},
volume = {121},
year = {2019}
}

@article{Zwieback2012,
abstract = {The validation of geophysical data sets (e.g. derived from models, exploration techniques or remote sensing) presents a formidable challenge as all products are inherently different and subject to errors. The collocation technique permits the retrieval of the error variances of different data sources without the need to specify one data set as a reference. In addition calibration constants can be determined to account for biases and different dynamic ranges. The method is frequently applied to the study and comparison of remote sensing, in-situ and modelled data, particularly in hydrology and oceanography. Previous studies have almost exclusively focussed on the validation of three data sources; in this paper it is shown how the technique generalizes to an arbitrary number of data sets. It turns out that only parts of the covariance structure can be resolved by the collocation technique, thus emphasizing the necessity of expert knowledge for the correct validation of geophysical products. Furthermore the bias and error variance of the estimators are derived with particular emphasis on the assumptions necessary for establishing those characteristics. Important properties of the method, such as the structural deficiencies, dependence of the accuracy on the number of measurements and the impact of violated assumptions, are illustrated by application to simulated data. {\textcopyright} Author(s) 2012. CC Attribution 3.0 License.},
author = {Zwieback, S. and Scipal, K. and Dorigo, W. and Wagner, W.},
doi = {10.5194/npg-19-69-2012},
file = {:C$\backslash$:/Users/z5154277/Documents/Mendeley Desktop/Zwieback et al. - 2012 - Structural and statistical properties of the collocation technique for error characterization.pdf:pdf},
issn = {10235809},
journal = {Nonlinear Processes in Geophysics},
number = {1},
pages = {69--80},
title = {{Structural and statistical properties of the collocation technique for error characterization}},
volume = {19},
year = {2012}
}

@article{Kalman1961,
  title={New results in linear filtering and prediction theory},
  author={Kalman, Rudolph E. and Bucy, Richard S.},
  year={1961}
}

@article{Kalman1960,
  title={A new approach to linear filtering and prediction problems},
  author={Kalman, Rudolph E.},
  year={1960}
}

@article{Zhang2017,
   author = {Zhang, Jun and Cormode, Graham and Procopiuc, Cecilia M. and Srivastava, Divesh and Xiao, Xiaokui},
   doi = {10.1145/3134428},
   issn = {15574644},
   journal = {ACM Transactions on Database Systems},
   keywords = {Bayesian network,Differential privacy,Synthetic data generation},
   month = {oct},
   number = {4},
   pages = {1--41},
   publisher = {Association for Computing Machinery},
   title = {{Priv bayes: Private data release via Bayesian networks}},
   url = {https://dl.acm.org/doi/10.1145/3134428},
   volume = {42},
   year = {2017}
}

@article{Zhu2014,
   author = {Zhu, Li and Wang, Yanxin and Fan, Qibin},
   doi = {10.1016/j.apm.2013.10.002},
   file = {:C$\backslash$:/Users/z5154277/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Zhu, Wang, Fan - 2014 - MODWT-ARMA model for time series prediction.pdf:pdf},
   issn = {0307904X},
   journal = {Applied Mathematical Modelling},
   keywords = {Long-range dependent,MODWT-ARMA model,Time series,Wavelet transform},
   month = {mar},
   number = {5-6},
   pages = {1859--1865},
   publisher = {Elsevier},
   title = {{MODWT-ARMA model for time series prediction}},
   volume = {38},
   year = {2014}
}


@article{Jiang2020b,
   author = {Jiang, Ze and Rashid, Md. Mamunur and Johnson, Fiona and Sharma, Ashish},
   doi = {10.1016/j.envsoft.2020.104907},
   issn = {13648152},
   journal = {Environmental Modelling {\&} Software},
   month = {oct},
   pages = {104907},
   publisher = {Elsevier BV},
   title = {{A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies}},
   url = {https://www.sciencedirect.com/science/article/pii/S1364815220309646},
   volume = {135},
   year = {2020}
}


@article{Jiang2020a,
   author = {Jiang, Ze and Sharma, Ashish and Johnson, Fiona},
   title = {Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling},
   journal = {Water Resources Research},
   volume = {56},
   number = {3},
   pages = {e2019WR026962},
   ISSN = {0043-1397},
   DOI = {https://doi.org/10.1029/2019WR026962},
   url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019WR026962},
   year = {2020},
   type = {Journal Article}
}

@article{Jiang2019,
   author = {Jiang, Ze and Sharma, Ashish and Johnson, Fiona},
   title = {Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias},
   journal = {Advances in Water Resources},
   volume = {134},
   pages = {103430},
   ISSN = {0309-1708},
   DOI = {https://doi.org/10.1016/j.advwatres.2019.103430},
   url = {http://www.sciencedirect.com/science/article/pii/S0309170819301307},
   year = {2019},
   type = {Journal Article}
}

@Manual{R2020,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2020},
  url = {https://www.R-project.org/},
}

@book{Strogatz2000,
   author = {Strogatz, Steven H.},
   title = {Nonlinear dynamics and chaos : with applications to physics, biology, chemistry, and engineering},
   publisher = {Cambridge, MA : Westview Press},
   address = {Cambridge, MA},
   edition = {1st pbk print.},
   ISBN = {0786723955},
   year = {2000},
   type = {Book}
}

@inbook{Reynolds2009,
   author = {Reynolds, Douglas},
   title = {Gaussian Mixture Models},
   booktitle = {Encyclopedia of Biometrics},
   editor = {Li, Stan Z. and Jain, Anil},
   publisher = {Springer US},
   address = {Boston, MA},
   pages = {659-663},
   ISBN = {978-0-387-73003-5},
   DOI = {10.1007/978-0-387-73003-5_196},
   url = {https://doi.org/10.1007/978-0-387-73003-5_196},
   year = {2009},
   type = {Book Section}
}

@article{Guyon2003,
   author = {Guyon, Isabelle and Elisseeff, André},
   title = {An introduction to variable and feature selection},
   journal = {Journal of machine learning research},
   volume = {3},
   number = {Mar},
   pages = {1157-1182},
   year = {2003},
   type = {Journal Article}
}

@article{Reiter2009,
   author = {Reiter, Jerome P.},
   title = {Using Multiple Imputation to Integrate and Disseminate Confidential Microdata},
   journal = {International Statistical Review},
   volume = {77},
   number = {2},
   pages = {179-195},
   ISSN = {0306-7734},
   DOI = {10.1111/j.1751-5823.2009.00083.x},
   url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1751-5823.2009.00083.x},
   year = {2009},
   type = {Journal Article}
}

@article{Schneider2015,
   author = {Schneider, Matthew J and Abowd, John M},
   title = {A new method for protecting interrelated time series with Bayesian prior distributions and synthetic data},
   journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
   volume = {178},
   number = {4},
   pages = {963-975},
   ISSN = {0964-1998},
   year = {2015},
   type = {Journal Article}
}

@inproceedings{Ayala2016,
   author = {Ayala-Rivera, Vanessa and Portillo-Dominguez, A Omar and Murphy, Liam and Thorpe, Christina},
   title = {COCOA: A synthetic data generator for testing anonymization techniques},
   booktitle = {International Conference on Privacy in Statistical Databases},
   publisher = {Springer},
   pages = {163-177},
   year = {2016},
   type = {Conference Proceedings}
}

@inproceedings{Lundin2002,
   author = {Lundin, Emilie and Kvarnström, Håkan and Jonsson, Erland},
   title = {A synthetic fraud data generation methodology},
   booktitle = {International Conference on Information and Communications Security},
   publisher = {Springer},
   pages = {265-277},
   year = {2002},
   type = {Conference Proceedings}
}

@article{Caiola2010,
   author = {Caiola, Gregory and Reiter, Jerome P},
   title = {Random Forests for Generating Partially Synthetic, Categorical Data},
   journal = {Trans. Data Privacy},
   volume = {3},
   number = {1},
   pages = {27-42},
   year = {2010},
   type = {Journal Article}
}

@inproceedings{Cano2009,
   author = {Cano, Isaac and Torra, Vicenç},
   title = {Generation of synthetic data by means of fuzzy c-Regression},
   booktitle = {2009 IEEE International Conference on Fuzzy Systems},
   publisher = {IEEE},
   pages = {1145-1150},
   ISBN = {142443596X},
   year = {2009},
   type = {Conference Proceedings}
}

@article{Dignowity2013,
   author = {Dignowity, Doreen and Wilson, Mario and Rangel-Fonseca, Piero and Aboites, Vicente},
   title = {Duffing spatial dynamics induced in a double phase-conjugated resonator},
   journal = {Laser Physics},
   volume = {23},
   number = {7},
   pages = {075002},
   ISSN = {1555-6611},
   year = {2013},
   type = {Journal Article}
}

@article{John2019,
   author = {John, Christopher R and Watson, David and Barnes, Michael R and Pitzalis, Costantino and Lewis, Myles J},
   title = {Spectrum: fast density-aware spectral clustering for single and multi-omic data},
   journal = {Bioinformatics},
   volume = {36},
   number = {4},
   pages = {1159-1166},
   ISSN = {1367-4803},
   DOI = {10.1093/bioinformatics/btz704},
   url = {https://doi.org/10.1093/bioinformatics/btz704},
   year = {2019},
   type = {Journal Article}
}

@article{Rappoport2018,
   author = {Rappoport, Nimrod and Shamir, Ron},
   title = {Multi-omic and multi-view clustering algorithms: review and cancer benchmark},
   journal = {Nucleic Acids Research},
   volume = {46},
   number = {20},
   pages = {10546-10562},
   ISSN = {0305-1048},
   DOI = {10.1093/nar/gky889},
   url = {https://doi.org/10.1093/nar/gky889},
   year = {2018},
   type = {Journal Article}
}

@article{Harrington2017,
   author = {Harrington, Heather A and Van Gorder, Robert A},
   title = {Reduction of dimension for nonlinear dynamical systems},
   journal = {Nonlinear Dynamics},
   volume = {88},
   number = {1},
   pages = {715-734},
   ISSN = {0924-090X},
   year = {2017},
   type = {Journal Article}
}

@article{Surendra2017,
   author = {Surendra, H and Mohan, HS},
   title = {A review of synthetic data generation methods for privacy preserving data publishing},
   journal = {Int J Sci Technol Res},
   volume = {6},
   number = {3},
   pages = {95-101},
   year = {2017},
   type = {Journal Article}
}

@Manual{Macherla2020,
  title = {conjurer: A Parametric Method for Generating Synthetic Data},
  author = {Sidharth Macherla},
  year = {2020},
  note = {R package version 1.2.0},
  url = {https://CRAN.R-project.org/package=conjurer},
}

@Article{Nowok2016,
   title = {{synthpop}: Bespoke Creation of Synthetic Data in {R}},
   author = {Beata Nowok and Gillian M. Raab and Chris Dibben},
   journal = {Journal of Statistical Software},
   year = {2016},
   volume = {74},
   number = {11},
   pages = {1--26},
   doi = {10.18637/jss.v074.i11},
}

@article{Templ2017,
   author = {Templ, Matthias and Meindl, Bernhard and Kowarik, Alexander and Dupriez, Olivier},
   title = {Simulation of synthetic complex data: The r package Simpop},
   journal = {Journal of Statistical Software},
   volume = {79},
   number = {10},
   pages = {1-38},
   ISSN = {1548-7660},
   year = {2017},
   type = {Journal Article}
}

@article{Pedregosa2011,
   author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent},
   title = {Scikit-learn: Machine learning in Python},
   journal = {the Journal of machine Learning research},
   volume = {12},
   pages = {2825-2830},
   ISSN = {1532-4435},
   year = {2011},
   type = {Journal Article}
}

@article{Verhulst1845,
   author = {Verhulst, Pierre-Francois},
   title = {Mathematical researches into the law of population growth increase},
   journal = {Nouveaux Mémoires de l’Académie Royale des Sciences et Belles-Lettres de Bruxelles},
   volume = {18},
   pages = {1-42},
   year = {1845},
   type = {Journal Article}
}

@article{Hall2009,
   author = {Hall, Mark and Frank, Eibe and Holmes, Geoffrey and Pfahringer, Bernhard and Reutemann, Peter and Witten, Ian H},
   title = {The WEKA data mining software: an update},
   journal = {ACM SIGKDD explorations newsletter},
   volume = {11},
   number = {1},
   pages = {10-18},
   ISSN = {1931-0145},
   year = {2009},
   type = {Journal Article}
}

@inbook{Henon1976,
   author = {Hénon, Michel},
   title = {A two-dimensional mapping with a strange attractor},
   booktitle = {The Theory of Chaotic Attractors},
   publisher = {Springer},
   address = {New York},
   pages = {94-102},
   year = {1976},
   type = {Book Section}
}

@article{May1976,
   author = {May, Robert M},
   title = {Simple mathematical models with very complicated dynamics},
   journal = {Nature},
   volume = {261},
   number = {5560},
   pages = {459-467},
   ISSN = {0028-0836},
   year = {1976},
   type = {Journal Article}
}

@article{Rossler1976,
   author = {Rössler, Otto E},
   title = {An equation for continuous chaos},
   journal = {Physics Letters A},
   volume = {57},
   number = {5},
   pages = {397-398},
   ISSN = {0375-9601},
   year = {1976},
   type = {Journal Article}
}

@article{Friedman1991,
   author = {Friedman, Jerome H},
   title = {Multivariate adaptive regression splines},
   journal = {The annals of statistics},
   pages = {1-67},
   ISSN = {0090-5364},
   year = {1991},
   type = {Journal Article}
}

@article{Fackler1999,
   author = {Fackler, Paul L},
   title = {Generating correlated multidimensional variates},
   journal = {Department of Agricultural and Resource Economics, North Carolina State University. http://www4. ncsu. edu/unity/users/p/pfackler/www/randcorr. ps},
   year = {1999},
   type = {Journal Article}
}

@article{Rasmussen1996,
   author = {Rasmussen, CE and Neal, RM and Hinton, G and Van Camp, D and Revow, M and Ghahramani, Z and Kustra, R and Tibshirani, R},
   title = {Delve data for evaluating learning in valid experiments, 1995–1996},
   journal = {URL http://www. cs. toronto. edu/~delve},
   year = {1996},
   type = {Journal Article}
}

@article{Fovet2015,
   author = {Fovet, Ophélie and Ruiz, Laurent and Hrachowitz, Markus and Faucheux, Mikaël and Gascuel-Odoux, C},
   title = {Hydrological hysteresis and its value for assessing process consistency in catchment conceptual models},
   journal = {Hydrology and Earth System Sciences},
   volume = {19},
   number = {1},
   pages = {105-123},
   year = {2015},
   type = {Journal Article}
}

@article{Lapshin1995,
   author = {Lapshin, Rostislav V},
   title = {Analytical model for the approximation of hysteresis loop and its application to the scanning tunneling microscope},
   journal = {Review of Scientific Instruments},
   volume = {66},
   number = {9},
   pages = {4718-4730},
   ISSN = {0034-6748},
   year = {1995},
   type = {Journal Article}
}

@book{Taylor1997,
   author = {Taylor, John R.},
   title = {An introduction to error analysis : the study of uncertainties in physical measurements},
   publisher = {Sausalito, Calif. : University Science Books},
   address = {Sausalito, Calif.},
   edition = {2nd ed.},
   series = {Error analysis},
   ISBN = {0935702423
093570275X
0935702423cloth},
   year = {1997},
   type = {Book}
}

@article{Lorenz1963,
   author = {Lorenz, Edward N},
   title = {Deterministic nonperiodic flow},
   journal = {Journal of the atmospheric sciences},
   volume = {20},
   number = {2},
   pages = {130-141},
   ISSN = {1520-0469},
   year = {1963},
   type = {Journal Article}
}

@article{Tong2011,
   author = {Tong, Howell},
   title = {Threshold models in time series analysis—30 years on},
   journal = {Statistics and its Interface},
   volume = {4},
   number = {2},
   pages = {107-118},
   ISSN = {1938-7997},
   year = {2011},
   type = {Journal Article}
}

@Manual{Leisch2010,
  title = {mlbench: Machine Learning Benchmark Problems},
  author = {Friedrich Leisch and Evgenia Dimitriadou},
  year = {2010},
  note = {R package version 2.1-1},
}


@Misc{Newman1998,
  author = {D.J. Newman and S. Hettich and C.L. Blake and C.J. Merz},
  year = {1998},
  title = {UCI Repository of machine learning databases},
  url = {http://www.ics.uci.edu/~mlearn/MLRepository.html},
  institution = {University of California, Irvine, Dept. of
    Information and Computer Sciences},
}

@book{Hyndman2014,
   author = {Hyndman, Rob J. and Athanasopoulos, George},
   title = {Forecasting : principles and practice},
   publisher = {Heathmont, Vic. OTexts},
   ISBN = {0987507109},
   year = {2014},
   type = {Book}
}

@article{Hyndman2008,
   author = {Hyndman, Rob J. and Khandakar, Yeasmin},
   title = {Automatic Time Series Forecasting: The forecast Package for R},
   journal = {2008},
   volume = {27},
   number = {3},
   pages = {22},
   ISSN = {1548-7660},
   DOI = {10.18637/jss.v027.i03},
   url = {https://www.jstatsoft.org/v027/i03},
   year = {2008},
   type = {Journal Article}
}

@Manual{Garcia2020,
  title = {nonlinearTseries: Nonlinear Time Series Analysis},
  author = {Garcia, CA and Sawitzki, G},
  year = {2020},
  note = {R package version 0.2.9},
  url = {https://CRAN.R-project.org/package=nonlinearTseries},
}

@article{scikit-learn2011,
 title={Scikit-learn: Machine Learning in {P}ython},
 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
         and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
         and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
         Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
 journal={Journal of Machine Learning Research},
 volume={12},
 pages={2825--2830},
 year={2011}
}

@inbook{Shumway2011,
   author = {Shumway, Robert H and Stoffer, David S},
   title = {Characteristics of Time Series},
   booktitle = {Time series analysis and its applications},
   publisher = {New York : Springer},
   pages = {8-14},
   year = {2011},
   type = {Book Section}
}

@book{Cryer2008,
   author = {Cryer, Jonathan D. and Chan, Kung-Sik},
   title = {Time Series Analysis : With Applications in R},
   publisher = {Springer New York},
   address = {New York},
   ISBN = {038775959X},
   year = {2008},
   type = {Book}
}



@article{Bowden2005,
   author = {Bowden, Gavin J. and Dandy, Graeme C. and Maier, Holger R.},
   title = {Input determination for neural network models in water resources applications. Part 1—background and methodology},
   journal = {Journal of Hydrology},
   volume = {301},
   number = {1},
   pages = {75-92},
   ISSN = {0022-1694},
   DOI = {https://doi.org/10.1016/j.jhydrol.2004.06.021},
   url = {http://www.sciencedirect.com/science/article/pii/S0022169404002987},
   year = {2005},
   type = {Journal Article}
}

@article{Galelli2014,
   author = {Galelli, S. and Humphrey, G. B. and Maier, H. R. and Castelletti, A. and Dandy, G. C. and Gibbs, M. S.},
   title = {An evaluation framework for input variable selection algorithms for environmental data-driven models},
   journal = {Environmental Modelling and Software},
   volume = {62},
   pages = {33-51},
   DOI = {10.1016/j.envsoft.2014.08.015},
   year = {2014},
   type = {Journal Article}
}

@article{Sharma2000,
   author = {Sharma, Ashish},
   title = {Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 — A strategy for system predictor identification},
   journal = {Journal of Hydrology},
   volume = {239},
   number = {1},
   pages = {232-239},
   ISSN = {0022-1694},
   DOI = {https://doi.org/10.1016/S0022-1694(00)00346-2},
   url = {http://www.sciencedirect.com/science/article/pii/S0022169400003462},
   year = {2000},
   type = {Journal Article}
}

@article{Sharma2014,
   author = {Sharma, Ashish and Mehrotra, Raj},
   title = {An information theoretic alternative to model a natural system using observational information alone},
   journal = {Water Resources Research},
   volume = {50},
   number = {1},
   pages = {650-660},
   ISSN = {0043-1397},
   year = {2014},
   type = {Journal Article}
}

