"17. Evaluation of Predictive Uncertainty in Nonlinear Hydrological Models Using a Bayesian Approach"

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Book	Author(s)	Year	Publisher
Nonlinear Mixture Models: A Bayesian Approach	Tatiana Tatarinova, Alan Schumitzky	2015	Imperial College Press
Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models	G. Gregoriou; R. Pascalau	2011	Palgrave Macmillan UK
Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures	Maciej Ławryńczuk	1st ed. 2022	Springer International Publishing
Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach	Andrzej Janczak	2005	Springer Berlin Heidelberg
Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models	Abebe Andualem Jemberie	2004	Routledge
Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach	Ehsan Sobhani-Tehrani; Khashayar Khorasani	2009	Springer US
Feature Engineering and Selection: A Practical Approach for Predictive Models	Max Kuhn; Kjell Johnson	2019	Routledge
Nonlinear Model Predictive Control	Frank Allgöwer; Alex Zheng	2000	Birkhäuser Basel
Uncertainty models for knowledge-based systems: a unified approach to the measurement of uncertainty	Irwin R. Goodman	1985	North-Holland;Sole distributors for the U.S.A. and Canada Elsevier Science Pub. Co.
The Value of Using Hydrological Datasets for Water Allocation Decisions: Earth Observations, Hydrological Models, and Seasonal Forecasts	Alexander José Kaune Schmidt	2019	Routledge
Bayesian Hierarchical Models: With Applications Using R, Second Edition	Peter D. Congdon	2019	Routledge
Functional Approach to Nonlinear Models of Water Flow in Soils	G. Marinoschi	2006	Springer Netherlands
Bayesian parametric models	Peter J. Kempthorne	1989	Alfred P. Sloan School of Management, Massachusetts Institute of Technology
Bayesian Modeling of Uncertainty in Low-Level Vision	Richard Szeliski	1989	Springer US
Specifying Statistical Models: From Parametric to Non-Parametric, Using Bayesian or Non-Bayesian Approaches	J. P. Florens; M. Mouchart; J. P. Raoult; L. Simar; A. F. M. Smith	1983	Springer New York
Bayesian Analysis and Uncertainty in Economic Theory	Richard Michael Cyert	1987	Springer Netherlands
Bayesian analysis and uncertainty in economic theory	Richard Michael Cyert	1987	Rowman & Littlefield
Hydrological Models for Environmental Management	Mikhail V. Bolgov; Lars Gottschalk; Irina Krasovskaia; Robert J. Moore	2002	Springer Netherlands
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites	Marco Petrolo	1st ed. 2019	Springer International Publishing
Bayesian Evaluation of Informative Hypotheses	Herbert Hoijtink; Irene Klugkist; Paul Boelen	2008	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
17. Evaluation of Predictive Uncertainty in Nonlinear Hydrological Models Using a Bayesian Approach	R. Romanowicz, K. Beven and J. A. Tawn	Statistics for the environment 2: water related issues /	Barnett, Vic.; Turkman, K. Feridun.	[1994], ©1994.	Wiley,
A Pragmatic Bayesian Approach to Predictive Uncertainty	Iain Murray; Edward Snelson	Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers	Joaquin Quiñonero-Candela; Ido Dagan; Bernardo Magnini; Florence d’Alché-Buc	2006	Springer Berlin Heidelberg
Visualizing Uncertainty in Predictive Models	Penny Rheingans; Marie desJardins; Wallace Brown; Alex Morrow; Doug Stull; Kevin Winner	Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization	Charles D. Hansen; Min Chen; Christopher R. Johnson; Arie E. Kaufman; Hans Hagen	2014	Springer London
Robust Nonlinear Predictive Control Using Fuzzy Models		Fuzzy Logic, Identification and Predictive Control	Jairo Jose Espinosa Oviedo; Joos P.L. Vandewalle; Vincent Wertz	2005	Springer London
Managing Uncertainty in Geospatial Predictive Models		Handbook of Research on Geoinformatics	Hassan A. Karimi, Hassan A. Karimi	2009	Information Science Reference
5-4: Uncertainty in Predictive Models		Data Visualization: Exploring and Explaining with Data	J. Camm, J. Cochran, M. Fry, J. Ohlmann	2022	Cengage Learning
Using Predictive Models	Steven Finlay	Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods	S. Finlay	2014	Palgrave Macmillan UK
Parameter Estimation and Predictive Uncertainty Quantification in Hydrological Modelling	Dmitri Kavetski	Handbook of Hydrometeorological Ensemble Forecasting	Qingyun Duan; Florian Pappenberger; Andy Wood; Hannah L. Cloke; John C. Schaake	1st ed. 2019	Springer Berlin Heidelberg
Parameter Estimation and Predictive Uncertainty Quantification in Hydrological Modelling	Dmitri Kavetski	Handbook of Hydrometeorological Ensemble Forecasting	Qingyun Duan; Florian Pappenberger; Andy Wood; Hannah L. Cloke; John C. Schaake	0th ed. 2020	Springer Berlin Heidelberg
Evaluation of Utilization of Wavelet Denoising Approach in Calibration of Hydrological Models	Maheswaran Rathinasamy; Akash Choudary; Anuj Jaiswal	Water Resources and Environmental Engineering I: Surface and Groundwater	Maheswaran Rathinasamy; S. Chandramouli; K.B.V.N. Phanindra; Uma Mahesh	1st ed. 2019	Springer Nature Singapore
Hydrological uncertainty in perspective	Z. W. Kundzewicz	New uncertainty concepts in hydrology and water resources /	Kundzewicz, Zbigniew.	1995.	Cambridge University Press,
Using segments in predictive models		Customer segmentation and clustering using SAS Enterprise Miner	Randall S. Collica	2011	SAS
- Embracing uncertainty: the Bayesian approach	Gavin Shaddick; James V. Zidek	Spatio-Temporal Methods in Environmental Epidemiology	Gavin Shaddick; James V. Zidek	2015	Routledge
Uncertainty Analysis: The Bayesian Approach	Frédéric Y. Bois; Cheikh T. Diack	Recent Advances in Quantitative Methods in Cancerand Human Health Risk Assessment	Lutz Edler; Christos Kitsos	2005	John Wiley & Sons
Assessment of Uncertainty of Neural Network Models Using Bayesian Statistics	Sandhya Samarasinghe	Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition	Sandhya Samarasinghe	2006	Routledge
Scheduling Under Conditions of Uncertainty: A Bayesian Approach	Luis Paulo Santos; Alberto Proenca	Euro-Par 2004 Parallel Processing: 10th International Euro-Par Conference, Pisa, Italy, August 31-September 3, 2004, Proceedings	Marco Danelutto; Marco Vanneschi; Domenico Laforenza	2004	Springer Berlin Heidelberg
Chapter 17: Bayesian Models		Statistical and Econometric Methods for Transportation Data Analysis, Second Edition	Karlaftis, Matthew G.; Mannering, Fred L.; Washington, Simon P	2010	CRC Press
Predictive Uncertainty		Indus River Basin. Water security and sustainability	Sadiq Ibrahim Khan; Thomas E. Adams (eds.)	2019	Elsevier
Bayesian Model Uncertainty in Mixed Effects Models	Satkartar K. Kinney; David B. Dunson	Random Effect and Latent Variable Model Selection	David Dunson	2008	Springer New York
Predictive Models Using Regression	Richard V. McCarthy; Mary M. McCarthy; Wendy Ceccucci	Applying Predictive Analytics: Finding Value in Data	Richard V. McCarthy; Mary M. McCarthy; Wendy Ceccucci	2nd ed. 2022	Springer International Publishing
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