• No results found

Component matrix and factor weights for SC I

A component GARCH model with time varying weights

A component GARCH model with time varying weights

... Despite the increasing popularity of VaR, following the Basle Agreement on Banking Supervision (1996), it can been shown that, differently from ES, VaR is not a coherent measure of risk since it does not satisfy the ...

33

The importance of the lepidic component as a prognostic factor in stage I pulmonary adenocarcinoma

The importance of the lepidic component as a prognostic factor in stage I pulmonary adenocarcinoma

... stage I disease into three groups according to the percentage of the lepidic component, and we compared the clinicopathologic characteristics among the ...stage I and stage IIA disease and group 1 ...

8

Sport industry strength influence factor weights research based on factor analysis

Sport industry strength influence factor weights research based on factor analysis

... utilize factor analysis carrying out analysis and evaluation on eastern area sport industry strength, it puts forward guidance in methods and thinking for other provinces and cities, and provides references for ...

7

The Release Matrix for Component-Based Software

The Release Matrix for Component-Based Software

... complex, component-based software is increasingly being recognized as the development of such systems becomes more ...Release Matrix, a generalization of a software release plan, previously proposed as a ...

15

The cyclical component factor model

The cyclical component factor model

... cyclical component that allows a factor ...irregular component is relatively large, we conjecture that our approach will provide a more accurate estimate of the ...

10

Low-rank matrix approximation with weights or missing data is NP-hard

Low-rank matrix approximation with weights or missing data is NP-hard

... rank-one matrix approximation problem is NP-hard in ...the matrix, and affected by a relatively low level of noise, the original uncorrupted low-rank matrix can be recovered accurately, with a ...

17

Two Nonzero Component Lemma and Matrix Trigonometry

Two Nonzero Component Lemma and Matrix Trigonometry

... Morteza Seddighin Indiana University East, Richmond, USA Abstract In this paper we show that the author’s Two Nonzero Lemma (TNCL) can be applied to present a simple proof for a very useful equality which was first ...

7

Stiff matrix instigates type I collagen biogenesis by mammalian cleavage factor I complex-mediated alternative polyadenylation

Stiff matrix instigates type I collagen biogenesis by mammalian cleavage factor I complex-mediated alternative polyadenylation

... R E S E A R C H A R T I C L E Unraveling the functional consequences of dysregulated APA in lung fibrosis is promising for biomark- er discovery and development of novel therapies. In this and other recent ...

16

Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference

Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference

... spatial weights matrix based on adjacency or distances between geographic neighbours seems to provide a good model fit regardless of the spatial autocor- relation inherent in the risk ...adjacency ...

16

Advances in independent component analysis and nonnegative matrix factorization

Advances in independent component analysis and nonnegative matrix factorization

... Since the popularization of the NMF problem by Lee and Seung, a great deal of work has been devoted to the analysis, extension, and application of NMF algorithms in science, engineering and medicine. The NMF problem has ...

90

VISUALIZATION OF GEOSPATIAL DATA BY COMPONENT PLANES AND U-MATRIX

VISUALIZATION OF GEOSPATIAL DATA BY COMPONENT PLANES AND U-MATRIX

... Figure 6. Error graphics for topologial and quantization error metrics. 4.1 General structure of dataset and outliers A well formation of an U-matrix depends of the quality convergence learning, that depends of ...

15

Estimation of the common component in Dynamic Factor Models

Estimation of the common component in Dynamic Factor Models

... Dynamic Factor Model ...Principal Component estimator for the common component under different ...variance-covariance matrix specification with lags provides better estimations than the ...

25

Barrier-to-Autointegration Factor BAF Binds p55 Gag and Matrix and Is a Host Component of Human Immunodeficiency Virus Type 1 Virions

Barrier-to-Autointegration Factor BAF Binds p55 Gag and Matrix and Is a Host Component of Human Immunodeficiency Virus Type 1 Virions

... thymus and peripheral blood leukocytes, which are enriched in CD4 ⴙ T lymphocytes and macrophage pre- cursors, respectively. BAF protein was detected in activated but not resting CD4 ⴙ T lymphocytes; thus, if BAF were ...

9

Crop-management Factor Calculation Using Weights of Spatio-temporal Distribution of Rainfall Erosivity

Crop-management Factor Calculation Using Weights of Spatio-temporal Distribution of Rainfall Erosivity

... no other data in other sheets, it is generally Sheet 1). All model inputs and integrated datasets including the procedures of their creation were described. For better understanding of the structure of the model and ...

11

Staphylococcus aureus clumping factor A binds to complement regulator factor I and increases factor I cleavage of C3b

Staphylococcus aureus clumping factor A binds to complement regulator factor I and increases factor I cleavage of C3b

... complement component deposited on the organism’s sur- face, C3b, can be cleaved by the host complement control protein, factor I, resulting in diminished phagocytosis of ...clumping factor A ...

9

Calculation of the Stress Intensity Factor in an Inclusion Containing Matrix

Calculation of the Stress Intensity Factor in an Inclusion Containing Matrix

... correction factor F versus crack length calculated with FEA and reference models from Breitznitskii [7] and Tweede-Rooke [8] for a round ...concentration factor magnitude for the elongated ...intensity ...

12

Canonical Polyadic decomposition with a Columnwise Orthonormal Factor Matrix

Canonical Polyadic decomposition with a Columnwise Orthonormal Factor Matrix

... We considered a simple problem, in which the rank did not exceed the tensor dimensions, and a difficult problem, in which the rank was high. The gain obtained by imposing orthogonality was very high for the difficult ...

26

Non-iterative solution for PARAFAC with a Toeplitz matrix factor

Non-iterative solution for PARAFAC with a Toeplitz matrix factor

... PARAllel FACtor (PARAFAC) decomposition is certainly the most used tensor ...special matrix structures into ...one matrix factor has a Toeplitz structure, a situation that is commonly ...

6

Detecting Noise in Chaotic Signals through Principal Component Matrix Transformation

Detecting Noise in Chaotic Signals through Principal Component Matrix Transformation

... and i are respective singular ...principal component basis, especially for noisy data, have been extensively studied 5, 9, 12, 13 ] ...principal component eigenvectors generally acts like noise ...

12

Clustering by non-negative matrix factorization with independent principal component initialization

Clustering by non-negative matrix factorization with independent principal component initialization

... negative matrix factorization (NMF) is a dimensionality reduction and clustering method, and has been applied to many areas such as bioinformatics, face images classification, and so ...principal component ...

5

Show all 10000 documents...

Related subjects