We study statistical inferences for a class of modulated stationary processes with time-dependent variances. Due to non-stationarity and the large number of unknown parameters, existing methods for stationary or locally stationary time series are not applicable. Based on a self-normalization technique, we address several inference problems, including self-normalized central limit theorem, self-...

BACKGROUND The natural history of hip instability (without subluxation or dislocation) and treatment in infants remain controversial. We performed a retrospective cohort case-only study with blinded, prospectively collected data to assess normalization of the acetabular index in consecutive untreated infant hips with sonography instability. METHODS Consecutive hips meeting inclusion criteria ...

Recently, there has been a growing interest in historical language corpora. Projects to create such corpora exist for a variety of languages such as German (Scheible et al. 2011), Spanish (SánchezMarco et al. 2010), or Slovene (Erjavec 2012). Annotation of these corpora is complicated by the fact that specialized tools for these language stages are typically not available. A common approach is ...

Hop plant (Humulus lupulus L.), cultivated primarily for its use in the brewing industry, is faced with a variety of diseases, including severe vascular diseases, such as Verticillium wilt, against which no effective protection is available. The understanding of disease resistance with tools such as differentially expressed gene studies is an important objective of plant defense mechanisms. In ...

Two techniques for speaker adaptation based on frequency scale modifications are described and evaluated. In one method, minimum mean square error matching is performed between a spectral template for each speaker to a "typical speaker" spectral template. One parameter, a warping factor, is used to control the spectral matching. In the second method, a neural network classifier is used to adjus...

This paper describes an online Japanese character recognition system using advanced techniques of pattern normalization and direction feature extraction. The normalization of point coordinates and the decomposition of direction elements are directly performed on online trajectory, and therefore, are computationally efficient. We compare one-dimensional and pseudo two-dimensional (pseudo 2D) nor...