We construct portfolios of stocks and of bonds that are maximally predictable with respect to a set of ex ante observable economic variables, and show that these levels of predictability are statistically significant, even after controlling for data-snooping biases. We disaggregate the sources for predictability by using several asset groups, including size-sorted and industry-sorted portfolios...

1 On the predictability of seizures 3 1.1 Predictability Terminology made clear . . . . . . . . . . . . . . . 7 1.2 How to Estimate LRD . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3 Seizure Frequency Dataset . . . . . . . . . . . . . . . . . . . . . . 24 1.4 Analysis Estimation of α . . . . . . . . . . . . . . . . . . . . . . 26 1.5 Memory and Predictability of Seizures . . . . . . . ....

The discussion of whether the role information encoded by verbs is anticipatorily used in sentence comprehension apart from the world knowledge in the context has been a while. However, in head-initial languages like English, it is difficult to tell apart the use of lexical information like verbs from that of world knowledge information because roles associated with role fillers are mostly enco...

Several models have been proposed to account for the flash-lag effect. One criterion for evaluating alternative models is to consider the separate effects of motion predictability and flash predictability. We first established that flash predictability has an impact on the size of the perceived spatial offset in the flash-lag illusion. We then examined motion predictability by varying the consi...

This paper presents a PDF-matched modification to Stone’s measure of predictability. The modified measure of predictability is a measure of non-gaussianity too. It is an extent of signal predictability by two different prediction terms. One prediction term is based on a normal gaussian PDF assumption for signal. In contrast, the other one is based on a unit variance supergaussian PDF assumption...

Consider the following question: Given examples of words accepted and rejected by an unknown automaton, is there an algorithm that in a feasible amount of time will learn to predict which words will be accepted by the automaton? We develop a notion of prediction-preserving reducibility, and show that if DFAs are predictable, then so are all languages in logspace. In particular, the predictabili...

Automated planning for numerous co-existing agents, with uncertainty caused by various levels of their predictability, observability and autonomy, is a complex task. One of the most significant issues is related to explosion of the state space. This paper presents a formal framework which can be used to model such systems and proposes the use of formally-modeled agents’ preferences as a way of ...

The correction of Class II and Class III malocclusions is often hampered by the use of appliances that require the collaboration of the patient (headgear, Delaire mask, elastics or the wearing of a removable appliance). Non-compliance therapy involves the use of appliances which minimize the need for such co-operation and attempt to maximize the predictability of results. The aim of this articl...

The JUNIPER project is developing a framework for the construction of large-scale distributed systems in which execution time bounds can be guaranteed. Part of this work involves the automatic implementation of input Java code on FPGAs, both for speed and predictability. An important focus of this work is to make the use of FPGAs transparent though runtime co-design and partial reconfiguration....

In 2 eye-movement experiments, the authors tested whether transitional probability (the statistical likelihood that a word precedes or follows another word) affects reading times and whether this occurs independently from contextual predictability effects. Experiment 1 showed early effects of predictability, replicating S. A. McDonald and R. C. Shillcock's (2003a) finding that words with a high...