Stochastic Processes
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Navigating Molecular Networks
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Machine-Learning Perspectives of Agent-Based Models
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Kinetically Constrained Models
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Stochastic Finance: An Introduction in Discrete Time
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Time Series Forecasting Using Machine Learning: Case Studies With R and iForecast
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Non-Gaussian Autoregressive-Type Time Series
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Stochastic Comparisons With Applications
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Statistical Analysis With R for Dummies
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Intermittent Demand Forecasting
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Elements of the General Theory of Optimal Algorithms
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Beginning Power BI for Business Users
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