"Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height"

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Book	Author(s)	Year	Publisher
Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height	Erik Vanem	2013	Springer Berlin Heidelberg
Bayesian Hierarchical Models: With Applications Using R, Second Edition	Peter D. Congdon	2019	Routledge
Depth-limited significant wave height: a spectral approach	Charles L. Vincent	1982	U.S. Army Corps of Engineers, Coastal Engineering Research Center;National Technical Information Service, distributor
Estimating nearshore significant wave height for irregular waves	William N. Seelig	1979	U.S. Army, Corps of Engineers, Coastal Engineering Research Center;National Technical Information Service, Operations Division [distributor
Bayesian Time Series Models	David Barber; A. Taylan Cemgil; Silvia Chiappa	2011-08	Cambridge University Press
A model for the distribution function for significant wave height	Edward F. Thompson	1981	U.S. Army, Corps of Engineers, Coastal Engineering Research Center;National Technical Information Service, Operations Division [distributor
Applied Bayesian hierarchical methods /	Congdon, P.	©2010.	CRC Press,
Bayesian Optimization with Application to Computer Experiments	Tony Pourmohamad; Herbert K. H. Lee	1st ed. 2021	Springer International Publishing
Introduction to Hierarchical Bayesian Modeling for Ecological Data	Eric Parent; Etienne Rivot	2012	Routledge
Bringing Bayesian Models to Life	Mevin B. Hooten; Trevor J. Hefley	2019	Routledge
Object-Oriented Simulation with Hierarchical, Modular Models	Bernard P. Zeigler	1990	Academic Press
Bayesian parametric models	Peter J. Kempthorne	1989	Alfred P. Sloan School of Management, Massachusetts Institute of Technology
Bayesian Inference of State Space Models: Kalman Filtering and Beyond	Kostas Triantafyllopoulos	1st ed. 2021	Springer International Publishing
An electronic wave-height measureing apparatus	Campbell, William S.	1953	Dept. of the Navy, David Taylor Model Basin
Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology	Andrew B. Lawson	2018	Routledge
Bayesian disease mapping: hierarchical modeling in spatial epidemiology /	Lawson, Andrew	©2009.	CRC Press,
Bayesian disease mapping: hierarchical modeling in spatial epidemiology /	Lawson, Andrew		Taylor & Francis Group
Bayesian disease mapping: hierarchical modeling in spatial epidemiology	Andrew Lawson	2008	Taylor & Francis
Data Analysis Using Hierarchical Generalized Linear Models With R	Youngjo Lee; Lars Ronnegard; Maengseok Noh	2017	Routledge
Empirical guidelines for use of irregular wave model to estimate nearshore wave height	Michael G. Mattie	1982	U.S. Army, Corps of Engineers, Coastal Engineering Research Center;National Technical Information Service, distributor
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Bayesian Hierarchical Space-Time Model for Significant Wave Height	Erik Vanem	Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height	Erik Vanem	2013	Springer Berlin Heidelberg
Significant Wave Height		Encyclopedia of Ocean Engineering	Weicheng Cui; Shixiao Fu; Zhiqiang Hu	1st ed. 2022	Springer Nature Singapore
Hierarchical Bayesian Time Series Models	L. Mark Berliner	Maximum Entropy and Bayesian Methods: Santa Fe, New Mexico, U. S. A. , 1995 Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods	Kenneth M. Hanson; Richard N. Silver	1996	Springer Netherlands
Bayesian Hierarchical Models	Andrew B. Lawson	Using R for Bayesian Spatial and Spatio-Temporal Health Modeling	Andrew B. Lawson	2021	Routledge
Hierarchical Bayesian models		Bayes Rules!: An Introduction to Applied Bayesian Modeling	Alicia A. Johnson; Miles Q. Ott; Mine Dogucu	2022	Routledge
- Bayesian Hierarchical Models	Jeff Gill	Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition	Jeff Gill	2015	Routledge
Bayesian hierarchical models	Christopher H. Schmid; Emery N. Brown	Numerical Computer Methods, Part C	Michael L. Johnson; Ludwig Brand	2000	Academic Press
Hierarchical Bayesian Models		Bayesian Models: A Statistical Primer for Ecologists	N. Thompson Hobbs; Mevin B. Hooten	2015	Princeton University Press
Bayesian Hierarchical Models		Bayesian Modeling Using WinBUGS	Ioannis Ntzoufras	2009	John Wiley & Sons
Hierarchical Space—Time Dynamic Models	Christopher K. Wikle	Studies in the Atmospheric Sciences	Mark L. Berliner; Douglas Nychka; Timothy Hoar	2000	Springer New York
2332 Time domain analysis (the significant wave height)		Design of Coastal Hazard Mitigation Alternatives for Rising Seas	David Basco	2020	World Scientific Publishing
16 - Hierarchical Bayesian Models for Space–Time Air Pollution Data	Sujit K. Sahu	Time Series Analysis: Methods and Applications	Tata Subba Rao; Suhasini Subba Rao; C.R. Rao	2012	Elsevier
Bayesian Subgroup Analysis with Hierarchical Models	Gene Pennello; Mark Rothmann	Biopharmaceutical Applied Statistics Symposium: Volume 2 Biostatistical Analysis of Clinical Trials	Karl E. Peace; Ding-Geng Chen; Sandeep Menon	1st ed. 2018	Springer Nature Singapore
Bayesian Hierarchical Mixture Models	Leonardo Bottolo; Petros Dellaportas	Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014	Arnoldo Frigessi; Peter Bühlmann; Ingrid Glad; Mette Langaas; Sylvia Richardson; Marina Vannucci	1st ed. 2016	Springer International Publishing
6. Hierarchical Bayesian Models		Bayesian Models: A Statistical Primer for Ecologists	N. Thompson Hobbs; Mevin B. Hooten	2015	Princeton University Press
114 Bayesian Hierarchical Models		Statistical Models	A. C. Davison	2008	Cambridge University Press
10. Bayesian Hierarchical Models		Bayesian methods: a social and behavioral sciences approach /	Gill, Jeff.	[2002], ©2002.	Chapman & Hall/CRC,
Bayesian Hierarchical Models for Spatial-Temporal Data I: Space-Time Separable Models	Robert Haining; Guangquan Li	Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach	Robert Haining; Guangquan Li	2020	Routledge
Bayesian Hierarchical Models for Spatial-Temporal Data II: Space-Time Inseparable Models	Robert Haining; Guangquan Li	Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach	Robert Haining; Guangquan Li	2020	Routledge
4. Hierarchical Space-Time Dynamic Models	Christopher K. Wikle	Studies in the atmospheric sciences /	Berliner, L. Mark.; Nychka, Douglas.; Hoar, Timothy.	[2000], ©2000.	Springer,
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