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Titlebook: Introduction to Stochastic Integration; K. L. Chung,R. J. Williams Book 19831st edition Springer Science+Business Media New York 1983 Mart

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楼主: Intimidate
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Definition of the Stochastic Integral,certain measurability and integrability assumptions, such that the family of stochastic integrals (∫.., . ∈ ℝ. is a right continuous local ..-martingale. For certain . and ., the integral can be defined path-by-path.
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Single-Molecule Multikilobase-Scale Profiling of Chromatin Accessibility Using m6A-SMAC-Seq and m6A-le Chromatin mapping sequencing), in its m6A-SMAC-seq and m6A-CpG-GpC-SMAC-seq variants, together with methods for data processing and analysis, and discuss key experimental and analytical considerations for working with SMAC-seq datasets.
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Auxiliary Variational Information Maximization for Dimensionality Reductionficantly tighter bounds than the well-known . approximations of MI. We also show that the auxiliary variable method may help to significantly improve on reconstructions from noisy lower-dimensional projections.
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