"Spatial Models Using Laplace Approximation Methods"

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Book	Author(s)	Year	Publisher
Spatial Econometrics: Methods and Models	L. Anselin	1988	Springer Netherlands
Spatial Data Analysis: Models, Methods and Techniques	Manfred M. Fischer; Jinfeng Wang	2011	Springer Berlin Heidelberg
Spatial Interaction Models: Facility Location Using Game Theory	Lina Mallozzi; Egidio D'Amato; Panos M. Pardalos	1st ed. 2017	Springer International Publishing
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications	Zhening Li; Simai He; Shuzhong Zhang	2012	Springer New York
Spatial Econometric Methods in Agricultural Economics Using R	Paolo Postiglione; Roberto Benedetti; Federica Piersimoni	2021	Routledge
Spatial Regression Models	Michael D. Ward; Kristian Skrede Gleditsch	April 2018	SAGE Publications, Inc
Dynamic spatial models	France) NATO Advanced Study Institute on Dynamic Spatial Models (1980: Bonas	1981	Sijthoff & Noordhoff
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects	James S. Hodges	2013	Routledge
Models in Spatial Analysis	Lena Sanders	2007	John Wiley & Sons
Spatial Statistics and Models	Daniel A. Griffith (auth.), Gary L. Gaile, Cort J. Willmott (eds.)	1984	Springer Netherlands
Spatial Statistics and Models	Gary L. Gaile; Cort J. Willmott	1984	Springer Netherlands
Spatial statistics and models	Gary L. Gaile; Cort J. Willmott	1984	D. Reidel Pub. Co.;Sold and distributed in the U.S.A. by Kluwer Boston Academic Publishers
Methods of Approximation Theory	Alexander I. Stepanets	2005	De Gruyter
Methods of Numerical Approximation	D. C. Handscomb	1966	Pergamon
Methods of Approximation Theory	Stepanets A.I.	2005
Methods of numerical approximation	D. C. Handscomb	1966	Pergamon Press
Spatial Regression Analysis Using Eigenvector Spatial Filtering	Bin Li; Daniel Griffith andYongwan Chun	2019	Academic Press
System approximation using orthonormal functions	Roger M. Boh	1958	University of Michigan
Numerical Methods for Laplace Transform Inversion	Alan M. Cohen	2007	Springer US
Numerical methods for Laplace transform inversion	A. M. Cohen	2011	Springer
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Spatial Models Using Laplace Approximation Methods	Virgilio Gómez-Rubio; Roger S. Bivand; Håvard Rue	Handbook of Regional Science	Manfred M. Fischer; Peter Nijkamp	2014	Springer Berlin Heidelberg
Spatial Models Using Laplace Approximation Methods	Virgilio Gómez-Rubio; Roger S. Bivand; Håvard Rue	Handbook of Regional Science	Manfred M. Fischer; Peter Nijkamp	2nd ed. 2021	Springer Berlin Heidelberg
Spatial Models Using Laplace Approximation Methods	Virgilio Gómez-Rubio; Roger S. Bivand; Håvard Rue	Handbook of Regional Science	Manfred M. Fischer; Peter Nijkamp	0th ed. 2020	Springer Berlin Heidelberg
72 Approximation methods using regression models		Approximate Dynamic Programming: Solving the Curses of Dimensionality	Warren B. Powell	2007	Wiley-Interscience
Laplace approximation		Bayesian Reasoning and Machine Learning	David Barber	2011	Cambridge University Press
Laplace approximation		Bayesian Reasoning and Machine Learning	David Barber
Laplace approximation		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
The Laplace approximation		Bayesian Reasoning and Machine Learning	David Barber	2011	Cambridge University Press
1051 Laplace approximation		Probabilistic Machine Learning: An Introduction	Kevin P. Murphy	2021	The MIT Press
B52 Laplace Approximation		SAS for Mixed Models: Introduction and Basic Applications	Walter W. Stroup; George A. Milliken; Elizabeth A. Claassen Claassen	2018	SAS Institute
1131 Laplace approximation		Statistical Models	A. C. Davison	2008	Cambridge University Press
The Laplace approximation		Bayesian Reasoning and Machine Learning	David Barber
451 Laplace approximation		Pattern Recognition and Machine Learning (Information Science and Statistics)	Christopher M. Bishop	2006	Springer Science+Business Media, LLC
646 Laplace approximation		Pattern Recognition and Machine Learning (Information Science and Statistics)	Christopher M. Bishop	2006	Springer Science+Business Media, LLC
De Moivre–Laplace Approximation		Probability - Statistics and Random Processes	T. Veerarajan	2008	McGraw-Hill Education
Multi-class Laplace Approximation		Gaussian processes for machine learning	Carl Edward Rasmussen	2006	MIT Press
19411 Laplace Approximation 946		Probabilistic Graphical Models: Principles and Techniques	Daphne Koller, Nir Friedman	2009	The MIT Press
44 The Laplace Approximation		Pattern Recognition and Machine Learning (Information Science and Statistics)	Christopher M. Bishop	2006	Springer Science+Business Media, LLC
Using Spatial Forecasting Methods Well	H. Lee Willis	Spatial Electric Load Forecasting	H. Lee Willis	2002	Routledge
Models Using Quantitative Methods		Decision-making: Concepts, Methods and Techniques	Shyama Prasad Mukherjee	January 2022	SAGE India
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