The statistics group at Boise State currently consists of Leming Qu, Jaechoul Lee, and Kyungduk Ko.
Qu's interests are computational statistics, nonparametric regression, wavelets in nonparametric regression, and Bayesian analysis.
Jaechoul Lee is relatively recently arrived at Boise State and his research focus is on the areas of trend analysis in time series with periodic properties, climatological statistics, and extreme value modeling, studies which have important ramifications in environmental science. For example, global warming theorists believe that winter low temperatures should be increasing more rapidly than other temperatures due to increased greenhouse gases impeding nightly solar radiation. Investigating such an issue statistically involves a trend analysis of monthly/daily minimum/maximum temperatures. As climate is involved, periodicities and correlations are naturally inherent in the data. Regression methodologies, time series analysis, spatial smoothing, and extreme value modeling are all needed to analyze these climate extremes. These methods can be applied to other interdisciplinary settings in biology, ecology, geophysics, and econometrics.
Kyungduk Ko is also newly arrived at Boise State and his research focuses on the application of wavelet methods to statistics with Bayesian modeling.