Works of James R. Thompson
Recent Submissions
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Nobels for nonsense
(2005) -
The Age of Tukey
(2001) -
AIDS: The mismanagement of an epidemic
(1989)An argument is made that, so far from being a disease which is unstoppable in its epidemic consequences, AIDS has produced an epidemic, which owes its present virulence to sociological configurations of rather recent existence. Instead of a vigorous attack on the transmission chain of the epidemic, the emphasis of public health policy has been on ... -
Time Series Analysis of Mosquito Population Data
(1973)A statistical technique, time series analysis, has been introduced, allowing the development of objective and quantitative insights into the behavior of relative mosquito densities as a function of time. This method is particularly useful for detecting periodicities in mosquito densities as well as the relationship between meteorological phenomena ... -
Tukey's transformational ladder for portfolio management
(2017)Over the past half-century, the empirical finance community has produced vast literature on the advantages of the equally weighted Standard and Poor (S&P 500) portfolio as well as the often overlooked disadvantages of the market capitalization weighted S&P 500’s portfolio (see Bloomfield et al. in J Financ Econ 5:201–218, 1977; DeMiguel et al. in Rev ... -
Marketplace Competition in the Personal Computer Industry*
(1992)A decision regarding development and introduction of a potential new product depends, in part, on the intensity of compeitition anticipated in the marketplace. In the case of a technology-based product such as a personal computer (PC), the number of competing products may be very dynamic and consequently uncertain. We address this problem by modeling ... -
James R. Thompson Publications
(2017) -
Empirical Portfolio Building
(2014) -
Ethics and the Market
(2017) -
Simulation-based estimation: a case study in oncology (SIMEST) and a case study in portfolio selection (SIMUGRAM)
(2014)Since the time of Poisson, stochastic processes have been axiomatized in the temporally forward direction. Yet for nearly a century, estimation of parameters and even forecasts have been based on likelihood approaches that start with temporally indexed data and then look backward in time. I shall be using the philosophy of Karl Pearson [Scott DW, ...