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		<title>RSS 게시판 2.0</title>
		<link>/usr/local/tomcat/webapps/ROOT/sites/statri/</link>
		<description><![CDATA[This is RSS Board.]]></description>
		<language>ko</language>
		
		
			
			
			
				
					
						
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								<title>노멀라이징 플로우와 컴퓨터 모형 보정 / 장원 교수(서울대학교)</title>
								<link>/bbs/statri/1355/1137774/artclView.do?layout=unknown</link>
								<pubDate>2024-10-22 18:02:50.098</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-22 00:00:00.0</topStartDt>
								<topEndDt>2024-11-22 23:59:59.0</topEndDt>
								<viewCo>1340</viewCo>
								<description>2024년 10월 17일 진행개요:확률분포를 근사할 수 있는 딥러닝 모형인 노멀라이징 플로우는 베이지안 분석에서 사후분포가 복잡한 문제를 다룰 때 유용한 방법이다. 본 튜토리얼에서는 노멀라이징 플로우의 기본모형인 real NVP layers 와 최신모형인 rational-quadratic neural spline layers를 소개하고, 이러한 모형이 환경 통계학이나 공학 통계학에서 중요한 문제인 컴퓨터 모형 보정에 어떻게 활용될 수 있는지 최신 연구를 소개한다</description>
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								<title>다변량 연속 처리의 이질적 처리 효과와 중요도 측정 / 신희준 박사 (Postdoc of Harvard University)</title>
								<link>/bbs/statri/1355/1137138/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:16:56.389</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
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								<viewCo>1520</viewCo>
								<description>2024년 10월 10일 진행 개요:다변량 연속 처리의 결합 효과를 추정하는 것은 매우 중요하며, 특히 여러 환경 오염 물질이 건강에 미치는 영향을 동시에 평가하려는 환경 보건 분야에서 중요한 역할을 합니다. 우리는 다변량 연속 처리의 처리 효과를 추정하는 데 있어 두 가지 핵심 문제를 해결하는 새로운 방법론을 개발하였습니다. 본 연구는 다양한 데이터 생성 과정에 유연하게 대응할 수 있도록 비모수적 베이지안 방법론을 사용하며, 처리 효과가 공변량에 따라 이질적일 수 있도록 허용합니다. 다변량 연속 처리에 대한 처리 효과 이질성은 인</description>
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								<title>Large Sacle Road-Traffic Noise Mapping with Convolution Neural Network models / 전종준 교수 (서울시립대학교)</title>
								<link>/bbs/statri/1355/1137136/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:15:47.362</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
								<topEndDt>2024-11-16 23:59:59.0</topEndDt>
								<viewCo>1761</viewCo>
								<description>2024년 5월 13일 진행 개요:Our research begins with the question of whether artificial intelligence can understand the mechanism of traffic noise through data generated by a physical model and predict the results. The typical noise prediction model consists of a noise generation function that takes inputs s</description>
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								<title>Averaging symmetric positive-definite matrices on the space of eigen-decompositions / 정성규 교수 (서울대학교)</title>
								<link>/bbs/statri/1355/1137135/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:15:28.138</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
								<topEndDt>2024-11-16 23:59:59.0</topEndDt>
								<viewCo>1803</viewCo>
								<description>2024년 1월 5일 진행 개요:In this talk, a generalized autoregressive conditional heteroskedasticity model under skew-normal distributions is studied. A maximum likelihood approach is taken and the parameters in the model are estimated based on the expectation-maximization algorithm. The statistical diagnost</description>
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								<title>Change point analysis using asymmetric norms / 김준표 교수 (세종대학교)</title>
								<link>/bbs/statri/1355/1137134/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:15:10.589</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
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								<viewCo>1976</viewCo>
								<description>2023년 12월 8일 진행 개요:This presentation introduces various methods for detecting multiple change points in inhomogeneous time series using asymmetric norms. Initially, the concept of an asymmetric norm is presented. Then a quantile segmentation method based on a moving window is demonstrated. The propo</description>
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								<title>Data analysis in the Large Hadron collider / 정용호 연구원 (서울시립대학교)</title>
								<link>/bbs/statri/1355/1137133/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:14:06.519</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
								<topEndDt>2024-11-16 23:59:59.0</topEndDt>
								<viewCo>1909</viewCo>
								<description>2023년 11월 24일 진행 개요:Results are reported from a search for new physics, the supersymetric Standard Model in proton-proton collisions at the conter of mass energy 13TeV. This analysis focused on the signature of a large multiplicity of jets and b-tagged jets without a missing transverse energy requir</description>
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							<item>
								<title>Spatial statistics for global wind modeling / 정재홍 교수 (한양대학교)</title>
								<link>/bbs/statri/1355/1137132/artclView.do?layout=unknown</link>
								<pubDate>2024-10-16 14:12:39.928</pubDate>
								
									
										<author>응용통계학과</author>
									
									
									
								
								
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								<topStartDt>2024-10-16 00:00:00.0</topStartDt>
								<topEndDt>2024-11-16 23:59:59.0</topEndDt>
								<viewCo>1980</viewCo>
								<description>2023년 10월 27일 진행 개요:Quantifying the uncertainty of global wind energy potential using climate models can be limited by computational and time requirements. We propose a statistical model that aims to reproduce the data-generating mechanism of climate ensembles for global annual, monthly, and daily w</description>
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								<title>Psychometrics와 데이터 사이언스의 만남 / 이현숙 교수 (건국대학교)</title>
								<link>/bbs/statri/1355/912704/artclView.do?layout=unknown</link>
								<pubDate>2023-10-23 15:18:32.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>2427</viewCo>
								<description>2023년 10월 6일 진행개요 : 인간의 인지적, 정의적, 사회적 특성과 관련된 latent construct를 측정하고 이를 바탕으로 수집된 양적 데이터에 통계적 방법론을 적용하여 교육학 및 심리학 분야의 다양한 연구 문제를 해결하고자 하는 학문 분야를 Psychometrics라고 합니다. 전통적인 Psychometrics에서는 지능검사, 수능, TOEFL과 같은 대규모 평가를 비롯하여 심리검사나 정의적 특성 검사 등 구조화된 형태의 수치 데이터가 수집되어 왔으며, 구조방정식모형, 다층모형, 문항반응모형, 진단분류모형과 같은 통</description>
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							<item>
								<title>Recent Advances in Statistical Analysis of System-based Reliability Data / Ng, Hon Keung Tony 교수 (Bentley University)</title>
								<link>/bbs/statri/1355/912703/artclView.do?layout=unknown</link>
								<pubDate>2023-10-23 15:18:02.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>2490</viewCo>
								<description>2023년 6월 12일 진행</description>
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								<title>Bayesian nonparametric adjustment of confounding / 김찬민 교수 (성균관대학교)</title>
								<link>/bbs/statri/1355/912702/artclView.do?layout=unknown</link>
								<pubDate>2023-10-23 15:17:08.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<description>2023년 5월 21일 진행Abstract : Analysis of observational studies increasingly confronts the challenge of determining which of a possibly high-dimensional set of available covariates are required to satisfy the assumption of ignorable treatment assignment for estimation of causal effects. We propose a Bay</description>
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								<title>Low-quality Fake Audio Detection through Frequency Feature Masking / 곽일엽 교수 (중앙대학교)</title>
								<link>/bbs/statri/1355/912701/artclView.do?layout=unknown</link>
								<pubDate>2023-10-23 15:16:28.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<description>2023년 4월 14일 진행Abstract : The first Audio Deep Synthesis Detection Challenge (ADD 2022) competition was held which dealt with audio deep fake detection, audio deep synthesis, audio fake game, and adversarial attacks. Our team participated in track 1, classifying bona fide and fake utterances in nois</description>
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								<title>Function-on-function sufficient dimension reduction with weak conditional moments / 송준 교수 (고려대학교)</title>
								<link>/bbs/statri/1355/912700/artclView.do?layout=unknown</link>
								<pubDate>2023-10-23 15:15:25.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<description>2023년 3월 24일 진행Abstract : In this talk, I will present sufficient dimension reduction (SDR) for functional data in which both predictor and response are multivariate functional data. Unlike the existing dimension reduction methods, our approach does not rely on the estimation of conditional mean and</description>
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								<title>Linear Mixed Model / 이용희 교수(서울시립대)</title>
								<link>/bbs/statri/1355/912699/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:31:19.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>1338</viewCo>
								<description>2012년 10월 25일 진행</description>
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								<title>Sparse Regression with Incentive / 김용대 교수(서울대)</title>
								<link>/bbs/statri/1355/912698/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:31:02.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>1463</viewCo>
								<description>2012년 5월 7일 진행</description>
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								<title>Some computational algorithms in sparse supervised learning / 최호식 교수(호서대)</title>
								<link>/bbs/statri/1355/912697/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:30:45.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>1502</viewCo>
								<description>2012년 4월 9일 진행</description>
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								<title>결측자료분석 / 안형진 교수(고려대)결측자료분석 / 안형진 교수(고려대)</title>
								<link>/bbs/statri/1355/912696/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:30:23.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>1165</viewCo>
								<description>2012년 3월 23일 진행</description>
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								<title>HDLSS Discrimination with Adaptive Data Piling / 이명희 교수(Colorado State University)</title>
								<link>/bbs/statri/1355/912695/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:30:04.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>1380</viewCo>
								<description>2012년 1월 10일 진행</description>
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								<title>Bayesian Asymptotic Analysis of Regression Problems / 최태련 교수(고려대)</title>
								<link>/bbs/statri/1355/912694/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:29:45.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>522</viewCo>
								<description>2011년 11월 17일 진행</description>
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								<title>Multi-scale analysis / 박철우 교수(University of Georgia)</title>
								<link>/bbs/statri/1355/912693/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:29:29.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
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								<viewCo>427</viewCo>
								<description>2011년 6월 22일 진행</description>
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								<title>Spatio-temporal models / 전미경 교수(Texax A&amp;M)</title>
								<link>/bbs/statri/1355/912692/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:29:10.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>505</viewCo>
								<description>2011년 6월 22일 진행</description>
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								<title>Data mining : Concepts and Techniques,  Rule-based Classification Using Entropy Distribution / 이정진 교수(숭실대)</title>
								<link>/bbs/statri/1355/912691/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:28:46.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>525</viewCo>
								<description>2011년 5월 19일 진행</description>
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							<item>
								<title>Model-based Cluster analysis using Logistic Mixture / 주용성 교수(동국대)</title>
								<link>/bbs/statri/1355/912690/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:28:24.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>549</viewCo>
								<description>2011년 4월 22일 진행</description>
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							<item>
								<title>Statistical tests for changes in mean against long-ranges dependence / 백창룡 교수(Ohio University)</title>
								<link>/bbs/statri/1355/912689/artclView.do?layout=unknown</link>
								<pubDate>2021-03-05 00:27:40.0</pubDate>
								
									
									
									
										<author>kustatri</author>
									
								
								
								<atchCo>0</atchCo>
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								<viewCo>490</viewCo>
								<description>2010년 12월 3일 진행</description>
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