UICC Technical Report Series

Technical Report Series on Global Modeling and Data Assimilation

This atlas documents the climate characteristics of version 1 of the NASA Seasonalto-Interannual Prediction Project (NSIPP) Atmospheric General Circulation Model (AGCM). The AGCM includes an interactive land model (the Mosaic scheme), and is part of the NSIPP coupled atmosphere-land-ocean model. The results presented here are based on a 20-year (December 1979-November 1999) "AMIP-style" integra...

Time Series Models for Measuring Market Risk Technical Report

The task of measuring market risk requires to make use of a probabilistic model that captures the statistical properties of price variations in financial assets. The most important of these properties are autocorrelations, time-dependent volatility and extreme events. GARCH processes are financial models that can successfully account for the time-dependent volatility. However, they assume Gauss...

Technical Report #2008-08: Tapered empirical likelihood for time series

We investigate data tapering in two formulations of empirical likelihood for time series. One empirical likelihood is formed from tapered data-blocks in the time-domain and a second is based on the tapered periodogram in the frequency-domain. Limiting distributions are provided for both empirical likelihood versions under tapering. Theoretical and simulation evidence indicate that a data taper ...

World Health Organization Technical Report Series No. 275

The University of Washington , Department of EE Technical Report Series

Automatic annotation of prosodic events could help improve speech understanding and synthesis. However, little annotated data is available for training prosody models because hand-labeling is prohibitively expensive. To address this issue, we explore weakly supervised learning techniques (EM, co-training, and self-training with bagging) that use only a small amount of hand-labeled data in combi...