"Ch. 9. Empirical estimators based on MCMC data"

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Book	Author(s)	Year	Publisher
On the computational complexity of MCMC-based estimators in large samples	Alexandre Belloni	2007	Massachusetts Institute of Technology, Dept. of Economics
Estimation of Dependences Based on Empirical Data	V. Vapnik	1st ed. 1982. Reprint 2006	Springer New York
Estimation of dependences based on empirical data /	Vapnik, Vladimir Naumovich.; Kotz, Samuel.	c2006.	Springer,
Real Data: A Statistics Workbook Based on Empirical Data	Zealure Holcomb	1996	Routledge
Real Data: A Statistics Workbook Based on Empirical Data	Zealure C. Holcomb	December 1996	Pyrczak Publishing
The present value model of stock prices: empirical tests based on instrumental variables estimators	Louis O. Scott	1983	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Monetary Policy Rules: Empirical Applications Based on Survey Data	Dirk Bleich	2012	Lang GmbH, Internationaler Verlag der Wissenschaften, Peter
Analysis of unbiased estimators using geometric failure data	Herman C. Quitmeyer	1964	Naval Postgraduate School;Available from National Technical Information Service
Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data: Methodology and Empirical Research	Fei Yang; Zhenxing Yao	1st ed. 2022	Springer Singapore
. Data structures based on linear relations	Xingni Zhou; Zhiyuan Ren; Yanzhuo Ma; Kai Fan; Xiang Ji	2020	De Gruyter
Discretization and MCMC Convergence Assessment	Christian P. Robert	1998	Springer New York
The association between accounting information and stock prices: model development and empirical tests based on Swedish data	Mikael Runsten	1998	Stockholm School of Economics--EFI, The Economic Research Institute
Regression Estimators	Marvin H. J. Gruber; Gerald J. Lieberman and Ingram Olkin	1990	Academic Press
Empirical Asset Pricing Models: Data, Empirical Verification, and Model Search	Jau-Lian Jeng	1st ed. 2018	Springer International Publishing
Constrained Bayes and empirical Bayes estimators under squared error and balanced loss functions	Myung Joon Kim	2004
Machines that learn: based on the principles of empirical control /	Brown, Robert Alan,	1994.	Oxford University Press,
Empirical Process Techniques for Dependent Data	Herold Dehling; Thomas Mikosch; Michael Sörensen	2002	Birkhäuser Boston
Dynamic Stochastic Models from Empirical Data	R.L. Kashyap; A. Ramachandra Rao	1976	Elsevier
Empirical process techniques for dependent data /	Dehling, Herold.; Mikosch, Thomas.; Sørensen, Michael.	[2002], ©2002.	Birkhäuser,
An MCMC approach to classical estimation	Victor Chernozhukov	2002	Massachusetts Institute of Technology, Dept. of Economics
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Ch. 9. Empirical estimators based on MCMC data	Priscilla E. Greenwood; Wolfgang Wefelmeyer	Stochastic Processes: Modelling and Simulation	D.N. Shanbhag and C.R. Rao	2003	Elsevier
MCMC Data Augmentation		The Handbook of Data Mining	Nong Ye	2003	Lawrence Erlbaum Associates, Publishers
8 - Detection based on MCMC techniques		Large MIMO Systems	A. Chockalingam; B. Sundar Rajan	2014-02	Cambridge University Press
Generalized Empirical Likelihood Estimators	Stanislav Anatolyev; Nikolay Gospodinov	Methods for Estimation and Inference in Modern Econometrics	Stanislav Anatolyev; Nikolay Gospodinov	2011	Routledge
86 EMPIRICAL BAYES ESTIMATORS		Examples and Problems in Mathematical Statistics	Shelemyahu Zacks	2014	Wiley
Empirical Estimators and Periodogra		Series of Irregular Observations: Forecasting and Model Building	Robert Azencott, Didier Dacunha-Castelle (auth.)	1986	Springer-Verlag New York
23 Variance of Empirical Estimators with Complete Data		a/s/m Study Manual for Exam C/Exam 4: Construction and Evaluation of Actuarial Models	Abraham Weishaus, Ph.D., F.S.A., CFA, M.A.A.A.	2014	Actuarial Study Materials
Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making	Christos Karras; Aristeidis Karras; Markos Avlonitis; Ioanna Giannoukou; Spyros Sioutas	Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12. 5 International Workshops: MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17–20, 2022, Proceedings	Ilias Maglogiannis; Lazaros Iliadis; John Macintyre; Paulo Cortez	1st ed. 2022	Springer International Publishing
Population-Based MCMC Methods		Advanced Markov Chain Monte Carlo Methods - Learning From Past Samples	Faming Liang	2010	John Wiley & Sons
Empirical Data on Immigration		Those Damned Immigrants: America' s Hysteria over Undocumented Immigration	Ediberto Román; Michael A. Olivas	2013	NYU Press
Hypothesis testing based on the MCMC output		Conceptual Econometrics Using R (Handbook of Statistics)	C. R. Rao (editor), Hrishikesh D. Vinod (editor)	2019	North Holland
Specification testing based on the MCMC output		Conceptual Econometrics Using R (Handbook of Statistics)	C. R. Rao (editor), Hrishikesh D. Vinod (editor)	2019	North Holland
Model selection based on the MCMC output		Conceptual Econometrics Using R (Handbook of Statistics)	C. R. Rao (editor), Hrishikesh D. Vinod (editor)	2019	North Holland
Complete-data estimators		Analysis of Incomplete Multivariate Data	J.L. Schafer	1997	Chapman and Hall/CRC
Panel data estimators		Conceptual Econometrics Using R (Handbook of Statistics)	C. R. Rao (editor), Hrishikesh D. Vinod (editor)	2019	North Holland
Model-Based Estimators	Diane Griffin Saphire	Estimation of Victimization Prevalence Using Data from the National Crime Survey	D. G. Saphire	1984	Springer New York
Subspace-based Estimators	Sylvie Marcos	Spectral Analysis: Digital Methods	Francis Castanié	2006	John Wiley & Sons
MINIMIZATION OF EXPECTED RISK BASED ON EMPIRICAL DATA	V.N. Vapnik; E. Gine	Vol. 2 Mathematical Statistics Theory and Applications	Yu. A. Prokhorov; V. V. Sazonov	1987	De Gruyter
Empirical Bayes and Shrinkage Estimators	Robert W. Keener	Theoretical Statistics: Topics for a Core Course	Robert W. Keener	2010	Springer New York
Empirical Analysis of Sampling Based Estimators for Evaluating RBMs	Vidyadhar Upadhya; P. S. Sastry	Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II	Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan Liu	1st ed. 2015	Springer International Publishing
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