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Homogeneity in Regression     clustering  homogeneity  sparsity       2013/4/28
This paper explores the homogeneity of coefficients in high-dimensional regression, which extends the sparsity concept and is more general and suitable for many applications. Homogeneity arises when o...
Detecting and locating changes in highly multivariate data is a major concern in several current statistical applications. In this context, the first contribution of the paper is a novel non-parametri...
The danger of confusing long-range dependence with non-stationarity has been pointed out by many authors.
Background Resonance energy transfer (RET) methods are in wide use for evaluating protein-protein interactions and protein conformational changes in living cells. Sensitized emission fluorescence r...
For square contingency tables with ordered categories, this paper proposes some dis- tance subsymmetry models. The one model indicates that the cumulative probability that an observation will fall i...
For square contingency tables with ordered categories, Agresti (1984, 2002) considered the marginal cumulative logistic (ML) model, which is an extension of the marginal homogeneity (MH) model. Miya...
For the analysis of square contingency tables, Tomizawa and Makii (2001), and Tomizawa, Miyamoto and Ashihara (2003) considered the measures to represent the degree of departure from marginal homoge...

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