搜索结果: 1-15 共查到“Bayesian”相关记录284条 . 查询时间(0.097 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bayesian Approach to Determining the Orientation of Sound-soft Obstacles with Phaseless Data via Wasserstein Distance
Wasserstein距离 贝叶斯方法 无相数据 软声障碍物
2023/4/27
We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two di...
Reasons for (prior) belief in Bayesian epistemology
Bayesian epistemology prior probabilities credences reasons for belief principle of insufficient reason belief revision belief formation
2016/6/12
Bayesian epistemology tells us how we should move from prior to posterior beliefs in light of new evidence or information, but says little about where our prior beliefs come from. It offers few resour...
The Evolution of Bayesian Updating
evolution Bayesian conditionalization updating expected utility rationality
2016/5/30
An evolutionary basis for Bayesian rationality is suggested, by consid-ering how natural selection would operate on an organism's `policy' for choosing an action depending on an environmental signal. ...
Comparative investigation of three Bayesian p values
Bayesian model checking Posterior predictive p value Sampled posterior p value
2016/1/26
Please check your proof carefully and mark all corrections at the appropriate place in the proof (e.g., by using on-screen annotation in the PDF file) or compile them in a separate list. Note: if you ...
Comparative investigation of three Bayesian p values
Bayesian model checking Posterior predictive p value Sampled posterior p value
2016/1/20
Bayesian p values are a popular and important class of approaches for Bayesian model checking. They are used to quantify the degree of surprise from the observed data given the specified data model an...
A Bayesian Information Criterion for Portfolio Selection
Bayesian Information Criterion Minimal Variance Portfolio Portfolio Selection Risk Diversification Selection Consistency
2016/1/19
The mean-variance theory of Markowitz (1952) indicates that large invest-ment portfolios naturally provide better risk diversification than small ones.However, due to parameter estimation errors, one ...
BAYESIAN AND DOMINANT STRATEGY IMPLEMENTATION IN THE INDEPENDENT PRIVATE VALUES MODEL
Independent private values incentive compatibility Bayesian implementations dominant-strategy implementation adverse selection bilateral trade mechanism design
2015/9/23
We prove—in the standard independent private-values model—that the outcome, in terms of expected probabilities of trade and expected transfers, of any Bayesian mechanism, can also be obtained with a d...
Computing Bayesian Means Using Simulation
Bayesian simulation nested simulation independent sampling
2015/7/6
This paper is concerned with the estimation of alpha = Er(Z), where Z is a random vector and the function values r(z) must be evaluated using simulation. Estimation problems of this form arise in the ...
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior
product prior Student’s-t prior
2015/7/3
Image priors based on products have been recognized
to offer many advantages because they allow simultaneous enforcement of multiple constraints. However, they are inconvenient for
Bayesian inferenc...
Bayesian Model Updating Approach for Systematic Damage Detection of Plate Type Structures
Autonomous Landslide Monitoring System based Wireless Sensor Networks
2015/6/30
This paper presents a model-based monitoring framework for the detection of fatigue-related crack damages in plate-type structures commonly seen in aluminum ship hulls. The monitoring framework involv...
Overconfidence by Bayesian Rational Agents
Risk and Uncertainty Measurement and Metrics Game Theory Forecasting and Prediction
2015/4/23
This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of over...
Learning the Structure of Bayesian Networks with Constraint Satisfaction
Bayesian networks Constraint satisfaction Constraint-based Structure learning
2014/12/18
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
A Nonparametric Bayesian Approach to Acoustic Model Discovery
A Nonparametric Bayesian Approach Acoustic Model Discovery
2014/11/27
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the speec...
Bayesian Epistemology and Having Evidence
bayesian dutch book evidence rationality reliabilism
2014/11/10
Bayesian Epistemology is a general framework for thinking about agents who have beliefs that come in degrees. Theories in this framework give accounts of rational belief and rational belief change, wh...
Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
Biased sampling colorectal cancer Dirichlet prior exposure enriched sampling gene-environment independence jointeffects multivariate categorical distribution spike and slab prior
2013/6/14
The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic d...