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Statistics for long-memory processes

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Gaussian processes for machine learning

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Forward-backward stochastic differential equations and their applications

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Diffusions, Markov processes, and martingales

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Generalized estimating equations

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Methods and applications of linear models

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The probabilistic method

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Forecasting, time series, and regression

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Time Series Forecasting

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Applied reliability

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