• The Korean Journal of Applied Statistics
• /
• v.27 no.6
• /
• pp.855-863
• /
• 2014

The recent computational revolution of Bayesian statistics has expanded use of the Bayesian statistics significantly; however, Bayesian statistics face a new set of challenges in the era of information technology. We survey the history of Bayesian statistics briefly and its expansion in the modern times. We then take a prospective future view of statistics and list challenges that the statistics community faces.

• Communications for Statistical Applications and Methods
• /
• v.8
• /
• pp.5-12
• /
• 2001

We berlin with a brief review of some important advances made in statistical theory over the last decade. The choice of topics is decidedly influenced by personal interests. Based on this review, we then propose some possible scenarios about the future of statistics.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.4
• /
• pp.1107-1117
• /
• 2006

In this thesis, we conduct a comprehensive analysis of the current situation and the inherent problems found in modern statistics education in Korea. We investigate the American probability and statistics curriculum currently used in Wisconsin and discuss the overall state of statistics education in The United States. Through comparison of both the Korean and Wisconsin model, we explore the future direction of statistical education.

• The Korean Journal of Applied Statistics
• /
• v.28 no.3
• /
• pp.457-465
• /
• 2015

The long lasting world-wide recession and low economic progress have made it more important to predict future economic behavior. Accordingly, it is of interest to explore useful leading indicators, correlated with policy targets, to predict future economic growth. This study attempts to develop a model to evaluate the performance of consumer survey results from Statistics Korea to predict future economic activities. A statistical model is formulated and estimated to generate predictions by utilizing consumer expectations. The prediction is found improved in the distant future and consumer expectations appear to be a useful leading indicator to provide information of future real growth.

• The Korean Journal of Applied Statistics
• /
• v.12 no.2
• /
• pp.717-719
• /
• 1999

A lot of the departments of statistics the Korean universities have changed their departmental names into those related with information sciences. The department of statistics in Taejon University also changed its departmental name, since industries are demanding the statisticians with knowledges about information sciences. The curriculum of the department was reorganized as the graduates can immediately satisfy the demand of future parment was reorganized as the graduates can immediately satisfy the demand of future employers. However, we believe that these should be some departments of statistics devoting to teach high level of statistical theories and to do researches on statistical theories.

• Proceedings of the Korean Statistical Society Conference
• /
• 2001.11a
• /
• pp.5-12
• /
• 2001

We begin with a brief review of some important advances made in statistical theory over the last decade. The choice of topics is decidedly influenced by personal interests. Based on this review, we then propose some possible scenarios about the future of statistics.

• The Korean Journal of Applied Statistics
• /
• v.22 no.6
• /
• pp.1143-1152
• /
• 2009

A canonical correlation analysis(CCA)-based method is proposed for prediction of future climate change which combines information from ensembles of atmosphere-ocean general circulation models(AOGCMs) and observed climate values. This paper focuses on predictions of future climate on a regional scale which are of potential economic values. The proposed method is obtained by coupling the classical CCA with empirical orthogonal functions(EOF) for dimension reduction. Furthermore, we generate a distribution of climate responses, so that extreme events as well as a general feature such as long tails and unimodality can be revealed through the distribution. Results from real data examples demonstrate the promising empirical properties of the proposed approaches.

• The Korean Journal of Applied Statistics
• /
• v.12 no.1
• /
• pp.305-308
• /
• 1999

Recent trends of changing the name and the curriculum of department of statistics in many universities are discussed and the desirable roles of statistics for future society are addressed.

• The Korean Journal of Applied Statistics
• /
• v.27 no.6
• /
• pp.865-866
• /
• 2014

• The Korean Journal of Applied Statistics
• /
• v.26 no.2
• /
• pp.253-265
• /
• 2013

It has been interested in developing useful information variables that are able to predict the future movement of final objects to attain the specific policy and strategic target. Term structure of interest rates is known as an important variable to predict future business and economic activity, yet there is little empirical work on the predictability of future changes in real output. This study attempts to develop the statistical model and examine whether domestic term structure of interest rates can predict variations of future cumulative changes in real growth on a long time horizon.