"Flexible Prior Models in Bayesian Image Analysis"

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Book	Author(s)	Year	Publisher
Bayesian Analysis of Linear Models	Broemeling	1985	Routledge
Bayesian Analysis of Stochastic Process Models	David Rios Insua	2012	John Wiley & Sons
Flexible Bayesian Regression Modelling	David Nott; Jean-Luc Dortet-Bernadet; Mike S. Smith andYanan Fan	2020	Academic Press
Bayesian parametric models	Peter J. Kempthorne	1989	Alfred P. Sloan School of Management, Massachusetts Institute of Technology
Bayesian Time Series Models	David Barber; A. Taylan Cemgil; Silvia Chiappa	2011-08	Cambridge University Press
Bayesian Inference in Dynamic Econometric Models	Luc Bauwens; Michel Lubrano; Jean-François Richard	2000	Oxford University Press
Bayesian Inference in Wavelet-Based Models	Peter Müller; Brani Vidakovic	1999	Springer New York
Image Texture Analysis: Foundations, Models and Algorithms	Chih-Cheng Hung; Enmin Song; Yihua Lan	1st ed. 2019	Springer International Publishing
Bayesian Approach to Image Interpretation	Sunil K. Kopparapu; Uday B. Desai	2001	Springer US
Bayesian Inference in Statistical Analysis	George E.P. Box	1992	John Wiley & Sons
Bayesian inference in statistical analysis	George E. P. Box	1992	Wiley
Bayesian Survival Analysis	Joseph G. Ibrahim; Ming-Hui Chen; Debajyoti Sinha	2001	Springer New York
Robust Bayesian Analysis	David Rios Insua; Fabrizio Ruggeri	2000	Springer New York
Bayesian Data Analysis	Andrew Gelman; John B. Carlin; Hal S. Stern; David B. Dunson; Aki Vehtari; Donald B. Rubin	2013	Routledge
Bayesian data analysis /	Gelman, Andrew.	1995.	Chapman & Hall,
Bayesian data analysis /	Gelman, Andrew.	[2004], ©2004.	Chapman & Hall/CRC,
Bayesian survival analysis /	Ibrahim, Joseph George.; Chen, Ming-Hui,; Sinha, Debajyoti.	[2001], ©2001.	Springer,
Bayesian reliability analysis	Harry F. Martz	1991	R.E. Krieger Pub. Co.
Bayesian Forecasting and Dynamic Models	Mike West; Jeff Harrison	2nd ed. 1997	Springer New York
Bayesian Forecasting and Dynamic Models	Mike West; Jeff Harrison	1989	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Flexible Prior Models in Bayesian Image Analysis	K. M. Hanson	Maximum Entropy and Bayesian Methods	Ali Mohammad-Djafari; Guy Demoment	1993	Springer Netherlands
Flexible Prior Models in Bayesian Image Analys		Maximum Entropy and Bayesian Methods: Paris, France, 1992	O. Costa De Beauregard (auth.), Ali Mohammad-Djafari, Guy Demoment (eds.)	1993	Springer Netherlands
Elastic Prior Shape Models of 3D Objects for Bayesian Image Analysis		Current Trends in Bayesian Methodology with Applications	Satyanshu K. Upadhyay; Umesh Singh; Dipak K. Dey; Appaia Loganathan	2015	Routledge
Bayesian Image Analysis	Donald Geman; Stuart Geman	Disordered Systems and Biological Organization: Proceedings of the NATO Advanced Research Workshop on Disordered Systems and Biological Organization held at Les Houches, February 25 – March 8, 1985	E. Bienenstock; F. Fogelman Soulie; G. Weisbuch	1986	Springer Berlin Heidelberg
Bayesian Image Segmentation Using MRF’s Combined with Hierarchical Prior Models	Kohta Aoki; Hiroshi Nagahashi	Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005, Proceedings	Heikki Kalviainen; Jussi Parkkinen; Arto Kaarna	2005	Springer Berlin Heidelberg
Multiscale Hidden Markov Models for Bayesian Image Analysis	Robert D. Nowak	Bayesian Inference in Wavelet-Based Models	Peter Müller; Brani Vidakovic	1999	Springer New York
10 Hierarchical Bayesian Image Models		Object Recognition	Tam Phuong Cao	2011-04-01	IntechOpen
The Prior Distribution and Bayesian Analysis	Daniel Sorensen; Daniel Gianola	Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics	Daniel Sorensen; Daniel Gianola	2002	Springer New York
- The Bayesian Prior	Jeff Gill	Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition	Jeff Gill	2015	Routledge
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior	Max-Heinrich Laves; Malte Tölle; Tobias Ortmaier	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings	Carole H. Sudre; Hamid Fehri; Tal Arbel; Christian F. Baumgartner; Adrian Dalca; Ryutaro Tanno; Koen Van Leemput; William M. Wells; Aristeidis Sotiras; Bartlomiej Papiez; Enzo Ferrante; Sarah Parisot	1st ed. 2020	Springer International Publishing
Flexible Bayesian Modelling for Nonlinear Image Registration	Mikael Brudfors; Yaël Balbastre; Guillaume Flandin; Parashkev Nachev; John Ashburner	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III	Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz	1st ed. 2020	Springer International Publishing
Prior Hyperparameters in Bayesian PCA	Shigeyuki Oba; Masa-aki Sato; Shin Ishii	Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings	Okyay Kaynak; Ethem Alpaydin; Erkki Oja; Lei Xu	2003	Springer Berlin Heidelberg
Bayesian Analysis of Frailty Models		Handbook of Survival Analysis	John P. Klein; Hans C. van Houwelingen; Joseph G. Ibrahim; Thomas H. Scheike	2013	Routledge
Exploratory Analysis of Bayesian Models	Osvaldo A. Martin; Ravin Kumar; Junpeng Lao	Bayesian Modeling and Computation in Python	Osvaldo A. Martin; Ravin Kumar; Junpeng Lao	2021	Routledge
Bayesian Analysis of Linear Models	Daniel Sorensen; Daniel Gianola	Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics	Daniel Sorensen; Daniel Gianola	2002	Springer New York
Bayesian analysis of RE models		Time Series and Panel Data Econometrics	M. Hashem Pesaran	2015	Oxford
Continuum Models for Bayesian Image Matching	J. C. Gee; P. D. Peralta	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
Prior Elicitation for Semiparametric Bayesian Survival Analysis	Joseph G. Ibrahim; Debajyoti Sinha	Practical Nonparametric and Semiparametric Bayesian Statistics	Dipak D. Dey; Peter MüIler; Debajyoti Sinha	1998	Springer New York
Learning flexible models from image sequences	Adam Baumberg; David Hogg	Computer Vision - ECCV ' 94: Third European Conference on Computer Vision, Stockholm, Sweden, May 2 - 6, 1994. Proceedings, Volume 1	Jan-Olof Eklundh	1994	Springer Berlin Heidelberg
Bayesian Sensitivity Analysis in Skew-elliptical Models	I. Vidal; P. Iglesias; M.D. Branco	Bayesian Thinking	D.K. Dey; C.R. Rao	2005	Elsevier
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