Matt Davison

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In this paper, I attempt to describe the implications of dynamical approaches to science for research in the experimental study of behavior. I discuss the differences between classical and dynamical science, and focus on how dynamical science might see replication differently from classical science. Focusing on replication specifically, I present some(More)
When conducting remote mine-hunting operations with a sidescan-sonar-equipped vehicle, a lawn-mowing search pattern is standard if no prior information on potential target locations is available. Upon completion of this initial search, a list of contacts is obtained. The overall classification performance can be significantly improved by revisiting these(More)
The continuous time problem of jointly optimizing a portfolio and the rate at which it is consumed was solved by Merton in the 1970s. For most common utility functions, for simple specifications of asset price processes, and with no transaction costs the resulting nonlinear partial differential equation can be solved in closed form. However, the standard(More)
Using simple, nonparametric statistical procedures can formalize the process of letting data speak for themselves, and can eliminate the gratuitous dismissal of deviant data from subjects or conditions. These procedures can act as useful discriminative stimuli, both for behavior analysts and for those from other areas of psychology who occasionally sample(More)
This paper analyzes popular time-nonseparable utility functions that describe “habit formation” consumer preferences comparing current consumption with the time averaged past consumption of the same individual and “catching up with the Joneses” (CuJ) models comparing individual consumption with a cross-sectional average consumption level. Few of these(More)
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