نتایج جستجو برای: conditional integration

تعداد نتایج: 280349  

2017
Dong Hyun Cho D. H. CHO

Abstract. Using a simple formula for conditional expectations over an analogue of Wiener space, we calculate a generalized analytic conditional Fourier-Feynman transform and convolution product of generalized cylinder functions which play important roles in Feynman integration theories and quantum mechanics. We then investigate their relationships, that is, the conditional Fourier-Feynman trans...

1999
Geert Bekaert Campbell R. Harvey

We propose a conditional measure of capital market integration that allows us to characterize both the cross-section and time-series ofexpected returns in developed and emerging markets. Our measure, which arises from a conditional regime-switching model, allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integr...

Journal: :Genes & development 2011
Le A Trinh Tatiana Hochgreb Matthew Graham David Wu Frederique Ruf-Zamojski Chathurani S Jayasena Ankur Saxena Rasheeda Hawk Aidyl Gonzalez-Serricchio Alana Dixson Elly Chow Constanza Gonzales Ho-Yin Leung Ilana Solomon Marianne Bronner-Fraser Sean G Megason Scott E Fraser

We report a multifunctional gene-trapping approach, which generates full-length Citrine fusions with endogenous proteins and conditional mutants from a single integration event of the FlipTrap vector. We identified 170 FlipTrap zebrafish lines with diverse tissue-specific expression patterns and distinct subcellular localizations of fusion proteins generated by the integration of an internal ci...

2013
KIN-YIP HO ALBERT K. TSUI ZHAOYONG ZHANG

Most studies of business cycle exclude the dimension of asymmetric conditional volatility. In this paper, we propose three bivariate asymmetric GARCH models to capture the properties of conditional volatility and time-varying conditional correlations of business cycle indicators in four OECD countries. Our study extends the constant conditional correlation framework proposed by Bollerslev (1990...

Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...

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