Similar Search Results

A Bayesian hierarchical model for forecasting intermountain snow dynamics

Odei, James B.; Symanzik, Jürgen; Hooten, Mevin B. - In: Environmetrics 25 (2014) 5, pp. 324-340

Persistent link: https://www.econbiz.de/10011005217

Visualising the Titanic disaster

Friendly, Michael; Symanzik, Jürgen; Onder, Ortac - In: Significance 16 (2019) 1, pp. 14-19

Persistent link: https://www.econbiz.de/10012093082

Commemorating William Playfair’s 250th birthday

Symanzik, Jürgen; Fischetti, William; Spence, Ian - In: Computational Statistics 24 (2009) 4, pp. 551-566

Persistent link: https://www.econbiz.de/10008467043

Interview with Andreas Buja

Symanzik, Jürgen - In: Computational Statistics 23 (2008) 2, pp. 177-184

Persistent link: https://www.econbiz.de/10005184318

Acceleration of the alternating least squares algorithm for principal components analysis

Kuroda, Masahiro; Mori, Yuichi; Iizuka, Masaya; … - In: Computational Statistics & Data Analysis 55 (2011) 1, pp. 143-153

Principal components analysis (PCA) is a popular descriptive multivariate method for handling quantitative data and it can be extended to deal with qualitative data and mixed measurement level data. The existing algorithms for extended PCA are PRINCIPALS of Young etÂ al. (1978) and PRINCALS of...

Persistent link: https://www.econbiz.de/10008864144

Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited

Tanaka, Yutaka; Zhang, Fanghong; Mori, Yuichi - In: Computational Statistics & Data Analysis 44 (2003) 1-2, pp. 143-160

Persistent link: https://www.econbiz.de/10005172342

Variable selection in multivariate methods using global score estimation

Fueda, Kaoru; Iizuka, Masaya; Mori, Yuichi - In: Computational Statistics 24 (2009) 1, pp. 127-144

Persistent link: https://www.econbiz.de/10005613222

PRINCIPAL COMPONENT ANALYSIS BASED ON A SUBSET OF VARIABLES: VARIABLE SELECTION & SENSITIVITY ANALYSIS

Tanaka, Yutaka; Mori, Yuichi - In: American journal of mathematical and management sciences 17 (1997) 1-2, pp. 61-90

Persistent link: https://www.econbiz.de/10006851665

Computational Statistics (Journal)

Härdle, Wolfgang K. - 2017

Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal

Persistent link: https://www.econbiz.de/10012966322

How computational statistics became the backbone of modern data science

Gentle, James E.; Härdle, Wolfgang; Mori, Yuichi - 2011

Persistent link: https://www.econbiz.de/10009172543