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Bayesian artificial intelligence
First published in 2003...
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Search for FCNC in top-quark events in ATLAS
Searches for flavor changing neutral current (FCNC) processes in top-quark production and decays by the ATLAS Collaboration are presented. Data collected from $pp$ collisions at the LHC at a centre-of...
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Bayesian and adaptive optimal policy under model uncertainty
"We study the problem of a policymaker who seeks to set policy optimally in an economy where the true economic structure is unobserved, and he optimally learns from observations of the economy. This ...
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Statistical decision theory and Bayesian analysis
First published in 1985...
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
Intelligent Methods for the Factory of the Future...
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Applied Statistical Science I
237 p. : 23 cm...
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Forecasting U.S. inflation by Bayesian model averaging
"Recent empirical work has considered the prediction of inflation by combining the information in a large number of time series. One such method that has been found to give consistently good results ...
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Theoretical and Practical Advances in Computer-based Educational Measurement
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Algorithms for Decision Making
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DTIC ADA199911: Temporal Knowledge: Recognition and Learning of Time-Based Patterns
A self-organizing, distributed, massively parallel network anatomy for the recognition of input stimuli and the learning of temporal patterns is proposed. The network adapts itself to recognize indivi...
View Book →Forecasting in large macroeconomic panels using Bayesian model averaging
"This paper considers the problem of forecasting in large macroeconomic panels using Bayesian model averaging. Practical methods for implementing Bayesian model averaging with factor models are descr...
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DTIC ADA584037: Time Sensitive Course of Action Development and Evaluation
The development of courses of action that integrate military with diplomatic, economic, and information operations (DIME) poses particular modeling challenges because the different instruments of nati...
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Improving Bayesian reasoning : what works and why?
"Published in: Frontiers in Psychology." Includes bibliographical references. Description based on online resource; title from PDF title page (Frontiers In, viewed July 8, 2020)....
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Bayesian methods for hackers
First published in 2015...
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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Ngu Vo, Martin Adams, Ba-Tuong Vo - Random Finite Sets for Robot Mapping and SLAM
Ngu Vo, Martin Adams, Ba-Tuong Vo - Random Finite Sets for Robot Mapping and SLAM...
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DTIC ADA147718: A Numerical Analysis of Sampling Plans Based on Prior Distribution and Costs.
This paper deals with some pitfalls linked with the sampling model based on prior distribution and costs. First, a model is designed which encompasses most of the existing Bayesian cost models. The ef...
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DTIC ADA428935: Efficient Photometric Selection of Quasars From the Sloan Digital Sky Survey: 100,00
We present a catalog of 100,563 unresolved, UV-excess (UVX) quasar candidates to g = 21 from 2099 deg squared of the Sloan Digital Sky Survey (SDSS) Data Release One (DR1) imaging data. Existing spect...
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Computational Cognitive Modeling and Linguistic Theory
...
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ERIC EJ795902: The Second National Survey of U.S. Internship Standards in Health Education Professio
This study assessed internships associated with health education professional programs in the U.S. This study updates findings from an earlier survey published in 1990. Using the 2003 "AJHE" directory...
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Bayesian Methods in the Search for MH370
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INTRODUCTION TO BAYESIAN STATISTICS
First published in 2004...
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Applied Bayesian statistics : with R and OpenBUGS examples
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergradu...
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Seeing Theory
A Visual Introduction to Probability and Statistics...
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Applied Bayesian forecasting and time series analysis
First published in 1994...
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Determinants of economic growth a Bayesian panel data approach
"Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country, cross-sectional analyses have employed Bayesian Model Averaging to address the issue of mod...
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Application of Bayesian model averaging to measurements of the primordial power spectrum
Cosmological parameter uncertainties are often stated assuming a particular model, neglecting the model uncertainty, even when Bayesian model selection is unable to identify a conclusive best model. B...
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A Bayesian Approximation Method for Online Ranking (2011)
https://jmlr.csail.mit.edu/papers/volume12/weng11a/weng11a.pdf https://www.csie.ntu.edu.tw/~cjlin/papers/online_ranking/online_journal.pdf...
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Bayesian data analysis
First published in 1995...
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Bayesian survival analysis
First published in 2001...
View Book →Beijian nettowāku
Includes bibliographical references (pages 203-210) and indexes....
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Bayesian Networks : advances and novel applications
Includes bibliographical references (pages 122-123). Description based on print version record; resource not viewed....
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Asymptotics of posteriors for binary branching processes
We compute the posterior distributions of the initial population and parameter of binary branching processes, in the limit of a large number of generations. We compare this Bayesian procedure with a m...
View Book →Bayesian networks for probabilistic inference and decision analysis in forensic science
"The aim is to offer theoretical and practical elements to help solve the following questions"-- Provided by publisher....
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Multigene analysis of the catfish genus Trichomycterus and description of a new South American trich
Available on Internet Archive....
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Bayesian Networks
First published in 2014...
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Bayesian learning in social networks
"We study the perfect Bayesian equilibrium of a model of learning over a general social network. Each individual receives a signal about the underlying state of the world, observes the past actions o...
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ERIC ED424235: Bayesian Item Selection Criteria for Adaptive Testing. Research Report 96-01.
R. J. Owen (1975) proposed an approximate empirical Bayes procedure for item selection in adaptive testing. The procedure replaces the true posterior by a normal approximation with closed-form express...
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Bayesian inference in statistical analysis
First published in 1973...
View Book →Bayesian model averaging and exchange rate forecasts
"Exchange rate forecasting is hard and the seminal result of Meese and Rogoff (1983) that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, has never...
View Book →Using simulation methods for Bayesian econometric models inference, development, and communication
"This paper surveys the fundamental principles of subjective Bayesian inference in econometrics and the implementation of those principles using posterior simulation methods. The emphasis is on the co...
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Estimation of genetic and phenotypic parameters of logistic growth curve and their inter-relationshi
Introduction [1] Growth, defined as changes of body weight over time, is an economically important trait in sheep that directly determines meat production . Increase in live weight or dimension agains...
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Evolution, Monitoring and Predicting Models of Rockburst
Precursor Information for Rock Failure...
View Book →Calibration and Bayesian learning
"In a repeated game of incomplete information, myopic players form beliefs on next-period play and choose strategies to maximize next-period payoffs. Beliefs are treated as forecast of future plays. ...
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Lagrangian modeling of the atmosphere
vii, 349 pages : 28 cm...
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Doing Bayesian Data Analysis
First published in 2010...
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DTIC ADA1009470:
The problem of selecting good populations out of k normal populations is considered in a Bayesian framework under exchangeable normal priors and additive loss functions. Some basic approximations to t...
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Bayesian persuasion
"When is it possible for one person to persuade another to change her action? We take a mechanism design approach to this question. Taking preferences and initial beliefs as given, we introduce the n...
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Bayesian parametric inference
First published in 2007...
View Book →Bayesian methods for management and business : pragmatic solutions for real problems
"Features the use of Bayesian statistics to gain insights from empirical dataFeaturing an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demon...
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ERIC EJ973383: Estimation of Logistic Regression Models in Small Samples. A Simulation Study Using a
In this paper, we used simulations to compare the performance of classical and Bayesian estimations in logistic regression models using small samples. In the performed simulations, conditions were var...
View Book →Bayesian inference and maximum entropy methods in science and engineering : 24th International Works
Includes bibliographical references and index....
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An Introduction to Bayesian Inference in Econometrics
First published in 1971...
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DTIC ADA500002: Mathematical Frameworks for Diagnostics, Prognostics and Condition Based Maintenance
This report documents the theoretical and computational investigation of statistical pattern recognition techniques and Bayesian Networks (BN). The application of statistical pattern recognition metho...
View Book →Bayesian analysis of stochastic process models
"This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, d...
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Evolutionary Genomics
Statistical and Computational Methods...
View Book →Bayesian inference in the social sciences
"Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. Particular emphasis...
View Book →Bayesian biostatistics
This book provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementations, with an emphasis on healthcare techniques. Contains introductory exp...
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ERIC ED389747: An Intelligent Tutoring System for Classifying Students into Instructional Treatments
As part of a project formulating optimal rules for decision making in computer assisted instructional systems in which the computer is used as a decision support tool, an approach that simultaneously ...
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Automated Machine Learning
Methods, Systems, Challenges...
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