TTL Translation Template Learner algorithm learns lexical level correspondences between two translation examples by using analog ical reasoning The sentences used as translation examples have similar and di erent parts in the source language which must correspond to the similar and di erent parts in the target language Therefore these corre spondences are learned as translation templates The le...

The fact that dependent variables of groundwater models are generally nonlinear functions of model parameters is shown to be a potentially signi®cant factor in calculating accurate con®dence intervals for both model parameters and functions of the parameters, such as the values of dependent variables calculated by the model. The Lagrangian method of Vecchia and Cooley [Vecchia, A.V. & Cooley, R...

We propose a bootstrap sampling method jackboot sampling This provides more accu rate inferences than ordinary bootstrap sampling better con dence interval coverage and less biased or unbiased standard errors The method is simple to implement We also prescribe a smoothing parameter for use in smoothed bootstrapping using or dinary kernel smoothing The e ect is similar to that of jackboot sampling

We construct bootstrap conndence intervals for smoothing spline and smoothing spline ANOVA estimates based on Gaussian data, and penalized likelihood smoothing spline estimates based on data from exponential families. Several variations of bootstrap conndence intervals are considered and compared. We nd that the commonly used bootstrap percentile intervals are inferior to the T intervals and to...

Since the early 1980s, a bewildering array of methods for constructing bootstrap con"dence intervals have been proposed. In this article, we address the following questions. First, when should bootstrap con"dence intervals be used. Secondly, which method should be chosen, and thirdly, how should it be implemented. In order to do this, we review the common algorithms for resampling and methods f...

We present the sensor-fusion results obtained from measurements within the European research project ground explosive ordinance detection (GEODE) system that strives for the realisation of a vehicle-mounted, multi-sensor, anti-personnel landmine-detection system for humanitarian de-mining. The system has three sensor types: a metal detector (MD), an infrared camera (IR), and a ground penetratin...

There is now a great deal of empirical evidence that business cycle uctuations contain asymmetries. The asymmetries found in post-war US data are inconsistent with the behavior of the US economy in the Great Depression. In a model where business cycle asymmetries are produced by rational uctuations in the con dence of investors, I examine whether this inconsistency can be explained by di erence...

For many practical applications of speech recognition systems, it is desirable to have an estimate of con dence for each hypothesized word, i.e. to have an estimate of which words of the output of the speech recognizer are likely to be correct and which are not reliable. We describe the development of the measure of con dence tagger JANKA, which is able to provide con dence information for the ...

be independent multivariate observations , where the x i 's are known vectors, B; and are unknown, being a positive deenite matrix. The calibration problem deals with statistical inference concerning and the problem that we have addressed is the construction of conndence regions. When the same set of y i 's are used to construct conndence regions for a sequence of possibly diierent parameter ve...

In this paper we consider the problem of making inference on a structural parameter in instrumental variables regression when the instruments are only weakly correlated with the endogenous explanatory variables. Adopting a local-to-zero assumption as in Staiger and Stock (1994) on the coe cients of the instruments in the rst stage equation, the asymptotic distributions of various test statistic...