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Genetic algorithms for the selection of smoothing parameters in additive models

Krause, Rüdiger; Tutz, Gerhard - In: Computational Statistics 21 (2006) 1, pp. 9-31

Persistent link: https://www.econbiz.de/10005613152

Non-crossing quantile regression via doubly penalized kernel machine

Shim, Jooyong; Hwang, Changha; Seok, Kyung - In: Computational Statistics 24 (2009) 1, pp. 83-94

Persistent link: https://www.econbiz.de/10005382515

Feature clustering for instrument classification

Ligges, Uwe; Krey, Sebastian - In: Computational Statistics 26 (2011) 2, pp. 279-291

Persistent link: https://www.econbiz.de/10009149754

Contribution to the bandwidth choice for kernel density estimates

Horová, Ivana; Zelinka, Jiří - In: Computational Statistics 22 (2007) 1, pp. 31-47

Persistent link: https://www.econbiz.de/10005613181

A bias reducing technique in kernel distribution function estimation

Kim, Choongrak; Kim, Sungsoo; Park, Mira; Lee, Hakbae - In: Computational Statistics 21 (2006) 3, pp. 589-601

Persistent link: https://www.econbiz.de/10005613214

Computing an Element in the Lexicographic Kernel of a Game

Faigle, Ulrich; Kern, Walter; Kuipers, Jeroen - In: Computational Statistics 63 (2006) 3, pp. 427-433

The lexicographic kernel of a game lexicographically maximizes the surplusses s ij (rather than the excesses as would … the nucleolus) and is contained in both the least core and the kernel. We show that an element in the lexicographic kernel … determine a kernel element without appealing to Maschler transfers in the execution of the algorithm. Copyright Springer …

Persistent link: https://www.econbiz.de/10010847867

The prenucleolus and the prekernel for games with communication structures

Khmelnitskaya, Anna; Sudhölter, Peter - In: Computational Statistics 78 (2013) 2, pp. 285-299

It is well-known that the prekernel on the class of TU games is uniquely determined by non-emptiness, Pareto efficiency (EFF), covariance under strategic equivalence (COV), the equal treatment property, the reduced game property (RGP), and its converse. We show that the prekernel on the class of...

Persistent link: https://www.econbiz.de/10010847974

Functional data classification: a wavelet approach

Chang, Chung; Chen, Yakuan; Ogden, R. - In: Computational Statistics 29 (2014) 6, pp. 1497-1513

-dimensional curves or two- or three-dimensional images). One popular general approach is based on the kernel-based method, proposed by …

Persistent link: https://www.econbiz.de/10011151859

Some selection criteria for nested binary choice models: a comparative study

Aparicio, Teresa; Villanúa, Inmaculada - In: Computational Statistics 22 (2007) 4, pp. 635-660

Persistent link: https://www.econbiz.de/10005382516

Estimation of population spectrum for linear processes with random coefficients

Saavedra, P.; Hernández, C.; Luengo, I.; Artiles, J.; … - In: Computational Statistics 23 (2008) 1, pp. 79-98

Persistent link: https://www.econbiz.de/10005613206