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ABC Reinforcement Learning
ABC Reinforcement Learning
2013/4/28
This paper introduces a simple, general framework for likelihood-free Bayesian reinforcement learning, through Approximate Bayesian Computation (ABC). The main advantage is that we only require a prio...
Left handedness and Leadership in Interactive Contests
Left handedness Leadership lnteractive Contests
2013/5/2
Left-handedness is known to provide an advantage at top level at many sports involving interactive contests. Earlier studies revealed that this is because of the innate superiority of left-handed cont...
Network analysis reveals distinct clinical syndromes underlying acute mountain sickness
Acute mountain sickness sleep headache visual analogue scale BioLayout Express 3D
2013/5/2
Acute mountain sickness (AMS) is a common problem among visitors at high altitude, and may progress to life-threatening pulmonary and cerebral oedema in a minority of cases. International consensus de...
Co-Occurring HIV Risk Behaviors among Males Entering Jail
HIV risk co-occurring behaviors correctional facilities male detainees
2013/4/28
This paper examines the pattern of HIV risk behaviors among male jail detainees. From multivariate analyses of baseline data from an HIV intervention study of ours, we find that: (1) cocaine use, hero...
On Sparsity Inducing Regularization Methods for Machine Learning
Sparsity Inducing Regularization Methods for Machine Learning
2013/5/2
During the past years there has been an explosion of interest in learning methods based on sparsity regularization. In this paper, we discuss a general class of such methods, in which the regularizer ...
the pleasures of life are worth nothing if one is not alive to experience
them. Through the twentieth century in the United States and other
high-income countries, growth in real incomes was accompa...
Robust and Trend Following Student's t Kalman Smoothers
Robust and Trend Following Student's t Kalman Smoothers
2013/5/2
We present a Kalman smoothing framework based on modeling errors using the heavy tailed Student's t distribution, along with algorithms, convergence theory, open-source general implementation, and sev...
Sparse Projections of Medical Images onto Manifolds
Sparse Projections Medical Images Manifolds
2013/5/2
Manifold learning has been successfully applied to a variety of medical imaging problems. Its use in real-time applications requires fast projection onto the low-dimensional space. To this end, out-of...
幸福感是否会传染（上）
幸福感 传染性 性别
2013/8/21
本文采用2006年中国综合社会调查数据(CGSS2006)分析社区内其他人的幸福感对本人幸福感的影响。估计结果显示：在控制了个体特征、婚姻和收入状况后，社区平均幸福感对社区内个体幸福感存在显著的正向效应，即幸福是可以传染的。本文对幸福感传染性的性别差异作了进一步检验，研究发现：幸福感更容易传染给女性。在加入社区固定效应和控制了核心解释变量的内生性问题后，计量结果依然稳健。因而，完善城镇居民社会网络...
Many techniques in computer vision, machine learning, and statistics rely on the fact that a signal of interest admits a sparse representation over some dictionary. Dictionaries are either available a...
From GWAS to transcriptomics in prospective cancer design - new statistical challenges
Post -GWAS Transcriptomics Nested case -control Functional changes Biomarkers
2013/4/27
Background. With the increasing interest in post-GWAS research which represents a transition from genome-wide association discovery to analysis of functional mechanisms, attention has been lately focu...
Assessing the public health relevance of a risk factor
Risk factor prevalence disease incidence relative risk population-attributable risk c-index
2013/4/27
In a recent series of high impact public health publications, the c-index was used as measure of prediction to assess the public health relevance of a risk factor. I demonstrate that the c-index is an...
Explaining temporal trends in annualized relapse rates in placebo groups of randomized controlled trials in relapsing multiple sclerosis: systematic review and meta-regression
multiple sclerosis relapses annualized relapse rates placebo baseline characteristics eligibility criteria meta-analysis meta-regression systematic review
2013/4/27
Background: Recent studies have shown a decrease in annualised relapse rates (ARRs) in placebo groups of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS).
Methods: We conduc...
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Online Learning Markov Decision Processes Adversarially Chosen Transition Probability Distributions
2013/5/2
We study the problem of learning Markov decision processes with finite state and action spaces when the transition probability distributions and loss functions are chosen adversarially and are allowed...