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NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH
Harvard University and University of California
2015/7/14
NONPARAMETRIC BINARY REGRESSION:A BAYESIAN APPROACH。
A BAYESIAN PEEK INTO FELLER VOLUME I。
Bayesian analysis for reversible Markov chains。
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
Non-Bayesian Multi-Armed Bandit
2010/11/24
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of each arm determines the ...
PAC-Bayesian aggregation and multi-armed bandits
PAC-Bayesian aggregation multi-armed bandits
2010/11/22
This habilitation thesis presents several contributions to (1) the PAC-Bayesian analysis of statistical learning, (2) the three aggregation problems: given d functions, how to predict as well as (i) ...
A Monte Carlo Algorithm for Universally Optimal Bayesian Sequence Prediction and Planning
Bayesian Sequence Prediction computable physics
2010/4/1
The aim of this work is to address the question of whether we can in principle design rational decision-making agents or artificial intelligences embedded in computable physics such that their decisio...
广义变系数模型的Bayesian B样条估计
广义变系数模型 Bayesian模型平均 B样条函数 Laplace's 方法 重要抽样 MCMC模拟
2007/12/12
提出了广义变系数模型函数系数的一种新的估计方法.我们用B样条函数逼近函数系数,不具体选择节点的个数,而是节点个数取均匀的无信息先验,样条函数系数取正态先验,用Bayesian模型平均的方法估计各个函数系数.这种估计方法一个主要特点是允许各个函数系数所需节点个数的后验分布不同, 因此允许不同函数系数使用不同的光滑参数. 另外,本文还给出了Bayesian B样条估计的计算方法,并通过模拟例子,说明...