"Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems"

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Book	Author(s)	Year	Publisher
Piecewise Linear Control Systems: A Computational Approach	Mikael K.-J. Johansson	2003	Springer Berlin Heidelberg
Bayesian Inference	William A. Link and Richard J. Barker	2010	Academic Press
Bayesian inference	Nicholas G. Polson	1995	E. Elgar Pub. Co.
Piecewise linear topology	J.F.P. Hudson	1969	W.A. Benjamin
Piecewise linear topology	J. F. P. Hudson	1969	W. A. Benjamin
Bayesian Inference for Stochastic Processes	Lyle D. Broemeling	2017	Routledge
Bayesian Statistical Inference	Gudmund R. Iversen	November 1984	SAGE Publications, Inc
Bayesian statistical inference	Gudmund R. Iversen	1984	Sage Publications
Bayesian Parametric Inference	Ashok K. Bansal	July 5, 2007	Alpha Science Intl Ltd
Statistical Inference for Piecewise-deterministic Markov Processes oBook	Romain Azais; Florian Bouguet	2018	John Wiley & Sons
Bayesian inference for probabilistic risk assessment	Kelly D., Smith C	2011	Springer
Handbook of Approximate Bayesian Computation	Scott A. Sisson; Yanan Fan; Mark Beaumont	2018	Routledge
A separable piecewise linear upper bound for stochastic linear programs	John R. Birge	1987	Naval Postgraduate School;Available from National Technical Information Service
Perception as Bayesian Inference	David C. Knill; Whitman Richards	1996-09	Cambridge University Press
Bayesian Inference with INLA	Virgilio Gomez-Rubio	2020	Routledge
Piecewise Linear Modeling and Analysis	Domine Leenaerts; Wim M.G. van Bokhoven	1998	Springer US
Introduction to Piecewise-Linear Topology	Colin P. Rourke; Brian J. Sanderson	1982	Springer Berlin Heidelberg
Introduction to piecewise-linear topology	C. P. Rourke	1972	Springer-Verlag
Piecewise-Linear Switching Surfaces for Minimum Time Control	Roy Henry Redderson	1966	Naval Postgraduate School;Available from National Technical Information Service
Bayesian Inference for Gene Expression and Proteomics	Kim-Anh Do; Peter Müller; Marina Vannucci	2006-07	Cambridge University Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems	Rajdip Nayek; Mohamed Anis Ben Abdessalem; Nikolaos Dervilis; Elizabeth J. Cross; Keith Worden	Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022	Matthew R.W. Brake; Ludovic Renson; Robert J. Kuether; Paolo Tiso	1st ed. 2023	Springer International Publishing
Methods for approximate Bayesian inference		Bayesian Optimization	Roman Garnett	2021	https://bayesoptbook.com
Approximate Bayesian inference for simple mixtures	K. Humphreys; D. M. Titterington	COMPSTAT: Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000	Jelke G. Bethlehem; Peter G.M. van der Heijden	2000	Physica-Verlag HD
134 Approximate Inference for Bayesian Networks		Artificial Intelligence: A Modern Approach	Stuart Russell; Peter Norvig	2019	Pearson Higher Education
134 Approximate Inference for Bayesian Networks		Artificial Intelligence: A Modern Approach, Global Edition	Stuart J. Russell, Peter Norvig	2021	Pearson
Approximate Reachability Analysis of Piecewise-Linear Dynamical Systems	Eugene Asarin; Olivier Bournez; Thao Dang; Oded Maler	Hybrid Systems: Computation and Control: Third International Workshop, HSCC 2000 Pittsburgh, PA, USA, March 23 - 25, 2000 Proceedings	Nancy Lynch; Bruce Krogh	2000	Springer Berlin Heidelberg
systems with piecewise variable stiffness		Applied nonlinear dynamics and chaos of mechanical systems with discontinuities	Wiercigroch, Marian	2000	World Scientific
Approximate Bayesian inference for simulation and optimization	Ilya O. Ryzhov	Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions	Boris Defourny; Tamás Terlaky	1st ed. 2015	Springer International Publishing
BAYESIAN INFERENCE FOR SIMPLE LINEAR REGRESSION		Introduction to Bayesian Statistics	W.Bolstad	2004	Wiley
Bayesian Inference for Simple Linear Regression		Introduction to Bayesian Statistics, Third Edition	William M. Bolstad	2016	John Wiley & Sons
NSTT for Linear and Piecewise-Linear Systems	Valery N. Pilipchuk	Nonlinear Dynamics: Between Linear and Impact Limits	Valery N. Pilipchuk	2010	Springer Berlin Heidelberg
Approximate Reachability for Linear Systems	Ashish Tiwari	Hybrid Systems: Computation and Control: 6th International Workshop, HSCC 2003 Prague, Czech Republic, April 3-5, 2003, Proceedings	Freek Wiedijk; Oded Maler; Amir Pnueli	2003	Springer Berlin Heidelberg
145 Approximate Inference in Bayesian Networks		Artificial Intelligence: A Modern Approach	Stuart Russell, Peter Norvig	2003	Prentice Hall
145 Approximate Inference in Bayesian Networks		Artificial Intelligence: A Modern Approach, 3rd Edition	Stuart J. Russell, Peter Norvig	2016	Pearson Education
Bayesian Inference for Sparse Generalized Linear Models	Matthias Seeger; Sebastian Gerwinn; Matthias Bethge	Machine Learning: ECML 2007: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings	Joost N. Kok; Jacek Koronacki; Ramon Lopez de Mantaras; Stan Matwin; Dunja Mladenic	2007	Springer Berlin Heidelberg
Bayesian Inference for the General Linear Model	Lyle D. Broemeling	Bayesian Analysis of Linear Models	Broemeling	1985	Routledge
14 Bayesian inference for simple linear regression		Introduction to Bayesian Statistics	William M. Bolstad	2007	Wiley-Interscience
13. Bayesian inference for simple linear regression		Introduction to Bayesian statistics /	Bolstad, William M.,	[2004], ©2004.	Wiley-Interscience,
Approximate Models for Linear Deterministic Systems	Juan I. Yuz; Graham C. Goodwin	Sampled-Data Models for Linear and Nonlinear Systems	Juan I. Yuz; Graham C. Goodwin	2014	Springer London
Bayesian Learning: Approximate Inference and Nonparametric Models	Sergios Theodoridis	Machine Learning (Second Edition)	Sergios Theodoridis	2020	Academic Press
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