Bayes’ theorem tells us how to optimally predict the class of a previously unseen example, given a training sample. The chosen class should be the one which maximizes P(CilE) = P(Ci) P(EICi) /P(E), where Ci is the ith class, E is the test example, P(YIX) denotes the conditional probability of Y given X, and probabilities are estimated from the training sample. Let an example be a vector of a at...

Establishing the effects of treatment for aphasia using single-subjectcontrolled experimental designs Cynthia K. Thompson a Aphasia and Neurolinguistics Research Laboratory, Center for the Neurobiology of Language Recovery, Evanston, IL, USA b Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA c Department of Neurology, Northwestern University, Chicag...

Estimation of mixed Weibull distribution by maximum likelihood estimation and other methods is frequently difficult due to unstable estimates arising from limited data. Bayesian techniques can stabilize these estimates through the priors, but there is no closed-form conjugate family for the Weibull distribution. This paper reduces the number of numeric integrations required for using Bayesian e...

The process of developing and testing a teaching model in teaching statistical concepts at the introductory level is discussed. The model comprised three components, provision of supplementary notes, working in pairs and teaching concepts in worked examples, which were tested using a 2 randomised factorial block design with confounding. The development of the teaching model is supported by an i...

The paper examines a dynamic model of a financial market with endogenous asset prices determined by short run equilibrium of supply and demand. Assets pay dividends, that are partially consumed and partially reinvested. The traders use fixed-mix investment strategies (portfolio rules), distributing their wealth between assets in fixed proportions. Our main goal is to identify globally evolution...

Measuring the altered gene expression level and identifying differentially expressed genes/proteins during HIV infection, replication and latency is fundamental for broadening our understanding of the mechanisms of HIV infection and T-cell dysfunction. Such studies are crucial for developing effective strategies for virus eradication from the body. Inspired by the availability and enrichment of...

This meta-analysis summarizes teaching effectiveness studies of the past decade and investigates the role of theory and research design in disentangling results. Compared to past analyses based on the process–product model, a framework based on cognitive models of teaching and learning proved useful in analyzing studies and accounting for variations in effect sizes. Although the effects of teac...

The generalized Dirichlet distribution has been shown to be a more appropriate prior for naı̈ve Bayesian classifiers, because it can release both the negative-correlation and the equal-confidence requirements of the Dirichlet distribution. The previous research did not take the impact of individual attributes on classification accuracy into account, and therefore assumed that all attributes foll...

Introduction ...................................................................................................................................................1 Experimental Design: Sampling Number and Frequency.............................................................................2 Sampling Plans ..............................................................................................

Recently we have witnessed a welcomed increase in the amount of empirical evaluation of Software Engineering methods and concepts. It is hoped that this increase will lead to establishing Software Engineering as a well-deened subject with a sound scientiically proven underpinning rather than a topic based upon unsubstantiated theories and personal belief. For this to happen the empirical work m...