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  • Probabilistic Machine Learning for Civil Engineers

    An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a ... Leer más

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    Series series Mathematics and Statistics (R0)
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  • Statistical Rethinking

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    Series series Chapman & Hall/CRC Texts in Statistical Science
    Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This ... Leer más

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  • System Identification

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    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Leer más

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  • Quantitative Methods

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  • Introduction to Machine Learning, fourth edition

    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Leer más

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  • Simulation

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  • Introduction to Bayesian Econometrics

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  • Time Series Analysis by State Space Methods

    Series Libro 38 - Oxford Statistical Science Series
    This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are ... Leer más

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  • Generalized Additive Models

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    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Leer más

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  • Doing Bayesian Data Analysis

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  • Applied Regression Analysis

    Series Libro 326 - Wiley Series in Probability and Statistics
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