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Titlebook: Probability in Physics; An Introductory Guid Andy Lawrence Textbook 2019 Springer Nature Switzerland AG 2019 Probability textbook."Bayesian

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978-3-030-04542-5Springer Nature Switzerland AG 2019
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Erratic Time Seriescture function, autocorrelation, and the periodogram. Moving Average processes. Autoregressive processes. Poisson processes and shot noise. Conceptual differences in continuous random processes. Stochastic differential equations and how to solve them. The Ornstein–Uhlenbeck process and related processes. Markov chains.
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Model FittingConcepts of model fitting. Numerical grid searching. Constructing parameter intervals in multiple dimensions. Goodness of fit. Comparing models. Machine Learning techniques.
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Information, Uncertainty, and SurpriseMeasuring uncertainty/information. Binary search games. Uncertainty associated with probability distributions. Messages and alphabets. The Maximum Entropy Principle.
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Entropy, Complexity, and the Arrow of TimeThermodynamic Entropy. Statistical Entropy. Order, Entropy and Complexity. Entropy and gravitating systems. Probability and Time
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Andy LawrenceExplains the use of probability in physics motivated by real physics examples throughout.Presents a modern approach to statistics, with a harmonised and simplified view of traditional and Bayesian app
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