Recently there have been advances in strati ed sampling techniques that attempt to enforce equal distributions not only across the design variables, but also onto the design space itself. This requires a numerically intensive optimization routine. Until now, no optimization strategy was able to distribute sample points evenly in the design space, but Evolutionary Algorithms (EA) act as an enabl...

Con tent: The suc cess ful in tro duc tion of ev i dence-based prac tice into psy chi a try re quires the ac qui si tion of new skills by cli ni cians. It is also im por tant that pol icy state ments that aim to be ev i dence-based, such as clin i cal prac tice guide lines, use rig or ous meth ods to syn the size the pri mary ev i dence and do not over look its lim i ta tions. One re sult of th...

This paper considers tests and con…dence sets (CS’s) concerning the coe¢ cient on the endogenous variable in the linear IV regression model with homoskedastic normal errors and one right-hand side endogenous variable. The paper derives a …nite-sample lower bound function for the probability that a CS constructed using a two-sided invariant similar test has in…nite length and shows numerically t...

Existing models for ring recovery and recapture data analysis treat temporal variations in annual survival probability (S ) as ® xed eþ ects. Often there is no explainable structure to the temporal variation in S1 , . . . , Sk ; random eþ ects can then be a useful model: S i 5 E(S ) + e i . Here, the temporal variation in survival probability is treated as random with average value E( e 2 ) 5 r...

Recently there have been advances in strati ed sampling techniques that attempt to enforce equal distributions not only across the design variables, but also onto the design space itself. This requires a numerically intensive optimization routine. Until now, no optimization strategy was able to distribute sample points evenly in the design space, but Evolutionary Algorithms (EA) act as an enabl...

A general method for the estimation of the con dence interval of molecular absorption coe cients is presented. Statistical numerical experiments are implemented to quantify the propagation of errors from line parameters to absorption coe cients as a function of the resolution. The method uses line parameter predictions (position and intensity) with estimated uncertainties derived from global po...

In human dialog a wide variety of acknowledgments are used. One function of this seems to be indicating attention, interest, and involvement to the other speaker. Based on study of Japanese memory game dialogs, we propose an algorithm for choosing among acknowledgment responses, including hai (yes), so (right), and un (mm). The primary factors involved are aspects of the user's internal state, ...

The confidence that eyewit nesses express in their lineup identifications of criminal sus pects has a large impact on criminal proceedings. Many convictions of innocent people can be attributed in large part to confident but mistaken eye witnesses. Although reason able correlations between confidence and accuracy can be obtained under certain con ditions, confidence is governed by some factors ...

For most real world applications of GP it is well known that tness evaluation is the most time consuming operation. It would thus be interesting to establish criteria that can help in limiting the time spent in this phase as much as possible without compromising results in terms of quality. One is thus confronted with two problems: how to select a suÆcient number of tness cases and how to choos...

This paper describes a multimodal approach for speaker veri cation The system consists of two classi ers one using visual features and the other using acoustic features A lip tracker is used to extract visual information from the speaking face which provides shape and intensity features We describe an approach for normalizing and mapping di erent modalities onto a common con dence interval We a...