1 Using self-determination theory to understand motivation for walking: Instrument development and model testing using Bayesian structural equation modeling Manuscript accepted 17.11.15 Psychology of Sport and Exercise Niven, A.G., & Markland, D. (2016). Using self-determination theory to understand motivation for walking: Instrument development and model testing using Bayesian structural equat...

Various scientific theories stand in a reductive relation to each other. In a recent article, we have argued that a generalized version of the Nagel-Schaffner model (GNS) is the right account of this relation. In this article, we present a Bayesian analysis of how GNS impacts on confirmation. We formalize the relation between the reducing and the reduced theory before and after the reduction us...

Th is paper describes how a compet i t i ve tree learning a lgo r i t hm can be derived f r o m f i rst pr inciples. The a lgo r i t hm approximates the Bayesian decision theoret ic so lut ion to the learning task. Compara t ive exper iments w i t h the a lgo r i t hm and the several matu re AI and stat is t ica l famil ies of tree learning a lgor i thms cur rent ly in use show the der ived Bay...

Cultural background can crucially influence human behavior. For virtual characters, that are supposed to imitate human behavior in a natural manner, integrating cultural background came into focus the recent years. Unlike earlier approaches, this paper presents a hybrid approach of modeling a Bayesian network that generates culture-specific behaviors for virtual characters. For the hybrid appro...

• Up to this point, we considered parameters to be fixed (but unknown) numbers. While discussing inference in this framework (estimation and hypothesis testing), we evaluated the properties of estimators and tests when applied repeatedly to the same problem, i.e. with the same true parameter value but different draws. For instance, an unbiased estimator is one with a sampling distribution whose...

This paper presents a behavior model of large repeated Bayesian games with an unknown number of players n, correlated types and imperfect monitoring. Each of the n players behaves as if she is negligible in a continuum game, but the game theorist performs a complete Bayesian analysis of what happens with such n players in the real repeated interaction. In addition to performing correct analysis...

Decision-making under uncertainty is a natural part of everyday life of every human being. In societal science, various aspects of decision-making were studied, mostly in the area of psychology. In technical science, the process was formalized using probability theory yielding so called Bayesian theory of decision making (Berger, 1985). However, one of the key assumptions of this theory is that...

Performance of real-time applications on network communication channels are strongly related to losses and temporal delays. Several studies showed that these network features may be correlated and present a certain degree of memory such as bursty losses and delays. The memory and the statistical dependence between losses and temporal delays suggest that the channel may be well modelled by a Dyn...