Bootstrapping I(1) data

Lower System Reliability Bounds from Binary Failure Data Using Bootstrapping

W E CONSIDER the problem of determining a (1 − α)100% lower confidence bound on the system reliability for a coherent system of k components using the failure data (yi, ni), where yi is the number of components of type i that pass the test and ni is the number of components of type i on test, i = 1, 2, . . . , k. We assume throughout that the components fail independently, e.g., no commoncause ...

Simulating Bagging without Bootstrapping

Bagging is a well-known and widely used ensemble method. It operates by sequentially bootstrapping the data set and invoking a base classifier on these different bootstraps. By learning several models (and combining them), it tends to increase predictive accuracy, while sacrificing efficiency. Due to this it becomes slow for large scale data sets. In this paper we propose a method that simulate...

g_whamsA Free Weighted Histogram Analysis Implementation Including Robust Error and Autocorrelation Estimates

The Weighted Histogram Analysis Method (WHAM) is a standard technique used to compute potentials of mean force (PMFs) from a set of umbrella sampling simulations. Here, we present a new WHAM implementation, termed g_wham, which is distributed freely with the GROMACS molecular simulation suite. g_wham estimates statistical errors using the technique of bootstrap analysis. Three bootstrap methods...

Information and Incrementality in Syntactic

Title of dissertation: INFORMATION AND INCREMENTALITY IN SYNTACTIC BOOTSTRAPPING Aaron Steven White, Doctor of Philosophy, 2015 Dissertation directed by: Professor Valentine Hacquard Department of Linguistics Some words are harder to learn than others. For instance, action verbs like run and hit are learned earlier than propositional attitude verbs like think and want. One reason think and want...

Effects of the data sampling strategy on bias and power in epidemiologic studies of low-back pain – a bootstrapping approach