Results 11 to 20 of about 2,352,425 (243)
Principal component analysis in the spectral analysis of the dynamic laser speckle patterns [PDF]
Journal of the European Optical Society-Rapid Publications, 2014 Dynamic laser speckle is a phenomenon that interprets an optical patterns formed by illuminating a surface under changes with coherent light. Therefore, the dynamic change of the speckle patterns caused by biological material is known as biospeckle ...
Ribeiro K. M. +4 more
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Mycotic corneal ulcers in upper Assam
Indian Journal of Ophthalmology, 2011 Purpose : To study the association of various risk factors and epidemiological variables of mycotic keratitis treated at a tertiary referral hospital of upper Assam.
Reema Nath +5 more
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Dynamic Functional Principal Components for Testing Causality
Signals, 2021 In this paper, we investigate the causality in the sense of Granger for functional time series. The concept of causality for functional time series is defined, and a statistical procedure of testing the hypothesis of non-causality is proposed.
Matthieu Saumard, Bilal Hadjadji
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Relapsing acute myeloid leukemia presenting as hypopyon uveitis
Indian Journal of Ophthalmology, 2011 Anterior segment infiltration in acute myeloid leukemia (AML) presenting as hypopyon uveitis is very rare. We report this case as an uncommon presentation in a patient on remission after bone marrow transplant for AML.
Sapna P Hegde +2 more
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A genealogical interpretation of principal components analysis. [PDF]
PLoS Genetics, 2009 Principal components analysis, PCA, is a statistical method commonly used in population genetics to identify structure in the distribution of genetic variation across geographical location and ethnic background. However, while the method is often used to
Gil McVean
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Mean-Reverting 4/2 Principal Components Model. Financial Applications
Risks, 2021 In this paper, we propose a new multivariate mean-reverting model incorporating state-of-the art 4/2 stochastic volatility and a convenient principal component stochastic volatility (PCSV) decomposition for the stochastic covariance.
Marcos Escobar-Anel, Zhenxian Gong
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Unusual case of persistent Horner′s syndrome following epidural anaesthesia and caesarean section
Indian Journal of Ophthalmology, 2011 This is a rare case of persistent Horner′s syndrome following epidural anesthesia and Caesarean section. A 33-year-old female presented with persistent ptosis and miosis following epidural anesthesia and Caesarian section several months prior.
Shubhra Goel, Cat Nguyen Burkat
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Indian Journal of Ophthalmology, 2011 Anterior megalophthalmos, a rare hereditary disorder, is macrocornea (horizontal corneal diameter more than 13 mm) in association with enlarged lens-iris diaphragm and ciliary ring.
Mohammad Ali Zare +3 more
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Principal components analysis for mixtures with varying concentrations
Modern Stochastics: Theory and Applications, 2021 Principal Component Analysis (PCA) is a classical technique of dimension reduction for multivariate data. When the data are a mixture of subjects from different subpopulations one can be interested in PCA of some (or each) subpopulation separately.
Olena Sugakova, Rostyslav Maiboroda
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Indian Journal of Ophthalmology, 2011 The aim of the study was to know the response of the relatives attending the squint surgery of their ward. A trained secretary administered an eight item questionnaire by live / telephonic interview.
Mihir Kothari
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