School of Business Scholarly Works: Recent submissions
Now showing items 141-160 of 216
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Theoretical investigation of energy-trapping mechanism by atomic systems
(American Physical Society, 1978-06)The theoretical results are presented here in detail for the atomic device proposed earlier by the author. This device absorbs energy from a continuous radiation source and stores some of it with atoms in metastable states ... -
An Interplant Test of the Efficiency Wage Hypothesis
(Massachusetts Institute of Technology Press, 1991-08)The analysis that follows tests the shirking model of efficiency wages by examining the relationship between rates of employee discipline and relative wage premiums across plants within the same firm. The structure of this ... -
A Protocol Analysis of Brand Choice Strategies Involving Recommendations
(The University of Kansas, 1987-12) -
Comovement of International Equity Markets: A Taxonomic Approach
(Cambridge University Press, 1976-09) -
An Examination of Different Explanations for the Mere Exposure Effect
(The Univeristy of Chicago Press, 2007-06)This article investigates two competing explanations of the mere exposure effect— the cognition-based perceptual fluency/misattribution theory (PF/M) and the affect-based hedonic fluency model (HFM)—under incidental exposure ... -
Corporate Political Donations: Investment or Agency?
(Walter De Gruyter, 2012-04)We examine corporate donations to political candidates for federal offices in the United States from 1991 to 2004. Firms that donate have operating characteristics consistent with the existence of a free cash flow problem, ... -
Sentiment and Stock Returns: The SAD Anomaly Revisited
(Elsevier, 2010-06)Widely-cited research by Kamstra et al. (2003) argues that changes in mood resulting from Seasonal Affective Disorder (SAD) drive changes in investor risk aversion and cause seasonal patterns in aggregate stock returns ... -
Structural Models and Endogeneity in Corporate Finance: The Link Between Managerial Ownership and Corporate Performance
(Elsevier, 2012-01)This paper presents a parsimonious, structural model that isolates primary economic determinants of the level and dispersion of managerial ownership, firm scale, and performance and the empirical associations among them. ... -
Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks
(Springer-Verlag, Berlin, 2007-07)This article discusses a potential application of radio frequency identification (RFID) and collaborative filtering for targeted advertising in grocery stores. Every day hundreds of items in grocery stores are marked down ... -
Decision Making with Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
(Elsevier, 2008-04-01)Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials can be used to approximate utility functions. ... -
Arc Reversals in Hybrid Bayesian Networks with Deterministic Variables
(Elsevier, 2009-05)This article discusses arc reversals in hybrid Bayesian networks with deterministic variables. Hybrid Bayesian networks contain a mix of discrete and continuous chance variables. In a Bayesian network representation, a ... -
Order imbalance and stock returns: Evidence from China
(Elsevier, 2007)We investigate the relation between daily order imbalance and return in the Chinese stock markets of Shenzhen and Shanghai. Prior studies have found that daily order imbalance is predictive of subsequent returns. On the ... -
Using Bayesian networks for bankruptcy prediction: Some methodological issues
(Elsevier, 2007-07-16)This study provides operational guidance for building naıve Bayes Bayesian network (BN) models for bankruptcy prediction. First, we suggest a heuristic method that guides the selection of bankruptcy predictors. Based on ... -
Solving stochasic PERT networks exactly using hybrid Bayesian networks
(Oeconomica Publishers, 2006-09-16)In this paper, we describe how a stochastic PERT network can be formulated as a Bayesian network. We approximate such PERT Bayesian network by mixtures of Gaussians hybrid Bayesian networks. Since there exists algorithms ... -
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians
(AUAI Press, Corvallis, OR, 2006-07)The main goal of this paper is to describe a method for exact inference in general hybrid Bayesian networks (BNs) (with a mixture of discrete and continuous chance variables). Our method consists of approximating general ... -
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials
(Springer Netherlands, 2006-09)Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization and Monte Carlo methods for solving hybrid Bayesian networks. Any probability density function (PDF) can be approximated by an MTE ... -
On Walley's Combination Rule for Statistical Evidence
(Éditions E.D.K., 33, rue Bezout, 75014 Paris, 2006-07)Dempster’s rule of combination is the commonly used rule for combining independent belief functions. In 1987, Peter Walley proposed an alternative rule for combining belief function representations of independent ... -
Knowledge representation and integration for portfolio evaluation using linear belief functions
(The Institute of Electrical and Electronic Engineers, Inc., 2006-07)In this paper, we propose a linear belief function approach to evaluating portfolio performance. By drawing on the notion of linear belief functions, we propose an elementary approach to knowledge representation for expert ... -
Sequential influence diagrams: A unified asymmetry framework
(Elsevier Inc., 2006-05)We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valuation networks, asymmetric influence diagrams, ... -
Operations for inference in continuous Bayesian networks with linear deterministic variables
(Elsevier Inc., 2006-05)An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its parents). In this case, the joint density ...