Bayesian statistical decision theory
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Bayesian statistical decision theory
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Bayesian statistical decision theory
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Incoming Resources
- Decision theory with a human face, Richard Bradley, London School of Economics and Political Science
- Probabilistic forecasting and Bayesian data assimilation, Sebastian Reich, University of Potsdam and University of Reading, Colin Cotter, Imperial College, London
- Applied Bayesian modeling and causal inference from incomplete-data perspectives, an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
- Fundamentals of nonparametric Bayesian inference, Subhashis Ghosal, North Carolina State University, Aad van der Vaart, Leiden University
- Uncertain judgements, eliciting experts' probabilities, Anthony O'Hagan ... [and others]
- Structural equation modeling, a Bayesian approach, Sik-Yum Lee
- Tools for statistical inference, methods for the exploration of posterior distributions and likelihood functions, Martin A. Tanner
- The signal and the noise, why most predictions fail-- but some don't, Nate Silver
- Rethinking risk measurement and reporting, edited by Klaus Böcker, Volume 1
- Adapting the Litterman prior for cointegrated VARs, Michał Markun
- Modern applied regressions, Bayesian and frequentist analysis of categorical and limited response variables with R and Stan, Jun Xu
- Bayesian testing of Granger causality in Markov-switching VARs, Matthieu Droumaguet and Tomasz Woźniak
- Bayesian methods for management and business, pragmatic solutions for real problems, Eugene D. Hahn
- Bayesian modeling and computation in Python, Osvaldo A. Martin, Ravin Kumar, Junpeng Lao
- Optimal contracts with non-bayesian agents, Sarah Auster
- Rational decision and causality, Ellery Eells
- The Bayesian way, introductory statistics for economists and engineers, Svein Olav Nyberg
- Introduction to Bayesian statistics, Karl-Rudolf Koch
- Statistical rethinking, a Bayesian course with examples in R and Stan, Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- The Oxford handbook of applied Bayesian analysis, edited by Anthony O'Hagan, Mike West
- Bayesian approach to global optimization, theory and applications, by Jonas Mockus
- Bayesian decision analysis, principles and practice, Jim Q. Smith
- Introduction to Bayesian econometrics, Edward Greenberg
- Taking chances, essays on rational choice, Jordan Howard Sobel
- The dynamics of rational deliberation, Brian Skyrms
- Common drifting volatility in large Bayesian VARs, Andrea Carriero, Todd E. Clark and Massimiliano Marcellino
- Model selection and model averaging, Gerda Claeskens, Nils Lid Hjort
- Mathematical theory of Bayesian statistics, Sumio Watanabe
- Vector autoregressive models, Helmut Luetkepohl
- Scientific reasoning, the Bayesian approach, Colin Howson and Peter Urbach
- Bayesian analysis with Excel and R, Conrad G. Carlberg
- Fundamentals of nonparametric Bayesian inference, Subhashis Ghosal, North Carolina State University ; Aad van der Vaart, Leiden University
- Statistical rethinking, a Bayesian course with examples in R and Stan, Richard McElreath
- Bayesian risk management, a guide to model risk and sequential learning in financial markets, Matt Sekerke
- Introduction to statistical decision theory, John W.Pratt, Howard Raiffa, Robert Schlaifer
- Bayesian implementation, Thomas R. Palfrey, Sanjay Srivastava
- Bayesian econometric methods, Joshua Chan, Purdue University, Indiana, Gary Koop, University of Strathclyde, Dale J. Poirier, University of California, Irvine, Justin L. Tobias, Purdue University, Indiana
- Bayesian and likelihood methods in statistics and econometrics, essays in honor of George A. Barnard, edited by Seymour Geisser ... [and others]
- Bayesian methods applied to time series data, volume editor, Thomas B. Fomby
- Social inquiry and Bayesian inference, rethinking qualitative research, Tasha Fairfield, Andrew E. Charman
- Bayesian methods for interaction and design, edited by John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, Nikola Banovic
- Bayesian analysis for the social sciences, Simon Jackman
- Bayesian forecasting and dynamic models, Mike West, Jeff Harrison
- A Bayesian theory of games, iterative conjectures and determination of equilibrium, Jimmy Teng
- Rethinking the foundations of statistics, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld
- Bayesian models for categorical data, Peter Congdon
- Logic, probability and science, edited by Niall Shanks, Robert B. Gardner
- Flexible Bayesian regression modelling, edited by Yanan Fan, David Nott, Mike S. Smith, Jean-Luc Dortet-Bernadet
- An introduction to Bayesian analysis, theory and methods, Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta
- Elementary Bayesian statistics, Gordon Antelman ; edited by Albert Madansky, Robert McCulloch