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Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
Conjugate distributions in hierarchical Bayesian ANOVA for computational efficiency and assessments of both practical and statistical significance
ANOVA xed eects random eects variance components hierar-chical Bayes multilevel model constraints
2013/4/27
Assessing variability according to distinct factors in data is a fundamental technique of statistics. The method commonly regarded to as analysis of variance (ANOVA) is, however, typically confined to...
Toward Practical N2 Monte Carlo: the Marginal Particle Filter
Practical N2 Monte Carlo Marginal Particle Filter
2012/9/19
Sequential Monte Carlo techniques are useful for state estimation in non-linear, non-Gaussian dy-namic models. These methods allow us to ap-proximate the joint posterior distribution using sequential ...
A Practical Implementation of the Bernoulli Factory
A Practical Implementation Bernoulli Factory
2011/7/5
The Bernoulli Factory is an algorithm that takes as input a series of i.i.d. Bernoulli random variables with an unknown but fixed success probability $p$, and outputs a corresponding series of Bernoul...
Compressed Sensing for Sparse Underwater Channel Estimation:Some Practical Considerations
Compressed Sensing Sparse Underwater Channel Estimation Practical Considerations
2010/3/10
We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed
sensing. This method shows some improvements over standard algorithms for sparse ch...
Determining Skill Mix: Practical Guidelines for Managers and Health Professionals
skill mix personnel mix organisational change
2009/10/15
The paper argues that changing skill mix is not a panacea for all the ills of an
organisation. It has a role to play in improving organisational effectiveness and quality of care, but it must be re...
Academic philosophers have recently turned their attention to practical areas such as law, medicine, business, etc., and, in particular to moral problems that may arise in these areas. But there are a...
Developing evidence-based ethical policies on the migration of health workers: conceptual and practical challenges
evidence-based ethical policies health workers conceptual and practical challenges
2009/9/28
The paper is divided into six sections. In the first, the different types of migration are reviewed. Some global trends are depicted in the second section. Scarcity of data on health worker migration ...
A practical illustration of the importance of realistic individualized treatment rules in causal inference
Experimental Treatment Assignment assumption positivity assumption dynamic treatment rules physical activity
2009/9/16
The effect of vigorous physical activity on mortality in the elderly is difficult to estimate using conventional approaches to causal inference that define this effect by comparing the mortality risks...
Book Review:Maximum Performance: A Practical Guide to Leading and Managing People at Work
Book Review Maximum Performance Work
2009/4/15
This is a refreshing and stimulating book and it very much deserves a wider audience than I suspect it will get. Although it targets the MBA market and ‘those who want to update their management skill...
Practical Robust Estimators for the Imprecise Dirichlet Model
Imprecise Dirichlet Model exact conservative approximate robust credibleinterval estimates entropy mutual information
2010/3/17
Walley’s Imprecise Dirichlet Model (IDM) for categorical i.i.d. data extends
the classical Dirichlet model to a set of priors. It overcomes several fundamental
problems which other approaches to unc...
Practical Robust Estimators for the Imprecise Dirichlet Model
Imprecise Dirichlet Model exact conservative approximate robust credibleinterval estimates entropy
2010/3/17
Walley’s Imprecise Dirichlet Model (IDM) for categorical i.i.d. data extends
the classical Dirichlet model to a set of priors. It overcomes several fundamental
problems which other approaches to unc...
Practical wavelet design on the sphere。