The problem of estimating underlying trends in time series data arises in a variety of disciplines. In this paper we propose a variation on Hodrick–Prescott (H-P) filtering, a widely used method for trend estimation. The proposed !1 trend filtering method substitutes a sum of absolute values (i.e., !1 norm) for the sum of squares used in H-P filtering to penalize variations in the estimated tre...

We study eective inference strategies for monotone trend functions in the presence of short range and long range dependence. Isotonic regression, which does not require specication of tuning parameters, is invoked to estimate the monotone trend. The problem of constructing reliable condence intervals for the trend function is addressed via the use of appropriate discrepancy statistics which ari...

The movement of a subject is a major problem in MRI experiments and diagnosis. At first, this review introduces a new technology named the "Propeller Technique" which can improve the motion artifact by changing the data sampling method in the K trajectory. Our experience of a case who underwent measurement by Propeller technique is reported and the effect of this technique is explained. One of ...

OBJECTIVE The aim of this study was to evaluate the predictive value of lung function and fraction of exhaled nitric oxide (FeNO) for difficult asthma in children. PATIENTS AND METHODS Children with asthma referred to an asthma clinic for uncontrolled persistent asthma on inhaled corticosteroids (ICSs) alone or in combination with a long-acting beta2-agonist and/or a leukotriene receptor anta...

This study develops an NN typhoon wave model to accurately and efficiently calculate wave heights at a point of interest. Multi-trend simulating transfer functions were first introduced to exemplify the relationship between wave heights and each conceivable input factor by regressive fitting. The proposed NN–MT model can accurately forecast wave peak with an error of less 1.2 m and with time de...