641 | Basic numerical methods for interdisciplinary mission Lee, Chang-Ock, NIMS Workshop on Scientific Computation and Numerical Computation for Interdisciplinary Mission, pp.29 - 42, 2006-08 |
642 | BASIC POLYNOMIAL INVARIANTS, FUNDAMENTAL REPRESENTATIONS AND THE CHERN CLASS MAP Baek, Sanghoon; Neher, E.; Zainoulline, K., DOCUMENTA MATHEMATICA, v.17, pp.135 - 150, 2012 |
643 | Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise Lee, Nam-Gil; Choi, Hyemi; Kim, Sung-Ho, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.101, pp.250 - 276, 2016-09 |
644 | Bayes variable selection for semicontinuous outcome regression = 반연속형 자료 회귀분석을 위한 베이지안 변수 선택법link Park, Jin-Su; 박진수; et al, 한국과학기술원, 2012 |
645 | Bayesian approach to linear state space model with unknown measurement matrix Yoon, Wansang; Kim, Sung-Ho, INTELLIGENT DATA ANALYSIS, v.24, no.3, pp.689 - 704, 2020-05 |
646 | Bayesian approach to shrinkage estimation for large scale vector autoregressive models = 대규모 벡터자기회귀모형을 위한 축소추정의 베이즈 접근법link Lee, Nam-Gil; 이남길; et al, 한국과학기술원, 2013 |
647 | Bayesian hierarchical semiparametric regression with time-varying coefficients: application to a temperate-mortality association study = 베이지안 계층 구조를 이용한 시변 계수를 가진 반모수적 회귀 모형 분석: 온도와 사망자수에 관한 연구link Noh, Hee-Sang; 노희상; et al, 한국과학기술원, 2013 |
648 | Bayesian inference of distributed time delay in transcriptional and translational regulation Choi, Boseung; Cheng, Yu-Yu; Cinar, Selahattin; Ott, William; Bennett, Matthew R.; Josic, Kresimir; Kim, Jae Kyoung, BIOINFORMATICS, v.36, no.2, pp.586 - 593, 2020-01 |
649 | Bayesian interpretation of Kalman filtering = 칼만 필터링의 베이지안 해석link Yoon, Wan-Sang; 윤완상; et al, 한국과학기술원, 2013 |
650 | Bayesian latent factor regression for multivariate functional data with variable selection Noh, Heesang; Choi, Taeryon; Park, Jinsu; Chung, Yeonseung, JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.49, pp.901 - 923, 2020-09 |
651 | Bayesian latent factor regression for multivariate functional data with variable selection = 다변량 함수형 자료에 대한 베이지안 잠재요인 회귀 및 변수 선택 모형link Noh, Heesang; Chung, Yeonseung; et al, 한국과학기술원, 2019 |
652 | Bayesian mixture of gaussian processes for data association problem Jeon, Younghwan; Hwang, Ganguk, PATTERN RECOGNITION, v.127, 2022-07 |
653 | Bayesian semiparametric mixed effects models for meta-analysis of the literature data : An application to cadmium toxicity studies Jo, Seongil; Park, Beomjo; Chung, Yeonseung; Kim, Jeongseon; Lee, Eunji; Lee, Jangwon; Choi, Taeryon, STATISTICS IN MEDICINE, v.40, no.16, pp.3762 - 3778, 2021-07 |
654 | BEM for nonlinear boundary valve problems using an auxiliary boundary integral equation = 보조경계 적분방정식을 이용한 비선형 경계치 문제에 대한 수치해법link Kim, Phil-Soo; 김필수; et al, 한국과학기술원, 1994 |
655 | Bessel orthogonality of some analytic functions = 해석 함수의 Bessel 직교성link Han, Sung-Su; 한성수; et al, 한국과학기술원, 1990 |
656 | Bessel type orthogonal polynomials = Bessel 형태의 직교 다항식link Kil, Bo-Il; 길보일; et al, 한국과학기술원, 1992 |
657 | Best choice problem with uncertainty of empolyment = 불확실한 고용을 갖는 최적 선택 문제link Kim, Myung-Geun; 김명근; Bai, Do-Sun; Choi, Bong-Dae; et al, 한국과학기술원, 1985 |
658 | Best polynomial approximation in Sobolev-Laguerre and Sobolev-Legendre spaces Kim, DH; Kim, SH; Kwon, Kil Hyun; Li, X, CONSTRUCTIVE APPROXIMATION, v.18, no.4, pp.551 - 568, 2002 |
659 | Beyond Shannon's sampling theorem 권길헌, 국가수리과학연구소 개소 3주년 기념학회, pp.31 - 40, 국가수리과학연구소, 2008 |
660 | Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters Choi, Boseung; Rempala, Grzegorz A.; Kim, Jae Kyoung, SCIENTIFIC REPORTS, v.7, pp.1 - 11, 2017-12 |