Computational Statistics in the Earth Sciences: With Applications in MATLAB
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
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Basic Elements of Computational Statistics – Statistics and Computing
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Spatial Analysis with R: Statistics, Visualization, and Computational Methods
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Computational Bayesian Statistics: An Introduction: 11 (Institute of Mathematical Statistics Textbooks, Series Number 11)
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Computational Statistics (Statistics and Computing)
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Foundations and Applications of Statistics: A Computational Approach
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Understanding Computational Bayesian Statistics (Wiley Series in Computational Statistics)
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Basic Computational Statistics and Learning
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Advanced Statistics for the Behavioral Sciences : A Computational Approach with R
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Handbook of Statistics – Computational Statistics with R – Volume 32 – Elsevier
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
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Bayesian Social Science Statistics: From the Very Beginning (Elements in Quantitative and Computational Methods for the Social Sciences)
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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
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Computational Calculus: A Numerical Companion to Elementary Calculus (Synthesis Lectures on Mathematics & Statistics)
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COMPUTATIONAL METHODS FOR RELIABILITY AND RISK ANALYSIS: 14 (Series on Quality, Reliability and Engineering Statistics)
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Introduction to Applications of Modular Forms: Computational Aspects (Synthesis Lectures on Mathematics & Statistics)
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Introduction to Computational Biology: Maps, Sequences and Genomes (Chapman & Hall/CRC Interdisciplinary Statistics)
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Computational Differential Equations with AI: Modern Machine Learning Approaches (Synthesis Lectures on Mathematics & Statistics)
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Mathematical Properties of Population-Genetic Statistics : Quadratic Forms Most Beautiful
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Applied Computational Mathematics: ICCE 2023, Chennai, India, December 8-9 (Springer Proceedings in Mathematics & Statistics, 480)
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Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
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Mathematical Algorithms of Computational Intelligence in IoT: ICCIIoT 2023, Msida, Malta, December 4-6: 502 (Springer Proceedings in Mathematics & Statistics, 502)
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Advances in Applied and Computational Mathematics: ICRAMCS 2025, Marrakech, Morocco, April 24-26 (Trends in Mathematics)
£179.99
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Handbook of Computational Finance: 0 – Springer Handbooks of Computational Statistics
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DeepAesthetics : Computational Experience in a Time of Machine Learning
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Machine Learning and Computational Methods: Theory and Applications: ICMDS 2025, Casablanca, Morocco, October 23-25 (Springer Proceedings in Mathematics & Statistics, 563)
£219.99
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Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design: ... Computational Mathematics, Series Number 35)
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Mathematical Modeling in Computational Intelligence and Generative AI: CIGAI-2025, Hyderabad, India, June 19-20 (Springer Proceedings in Mathematics & Statistics, 5)
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Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics)
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THE HANDBOOK OF STATISTICAL GENOMICS: Quantitative Methods, Computational Frameworks, and Applications in Modern Genetic Research.
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Computational Analysis of Communication: A Practical Introduction to the Analysis of Texts, Networks, and Images With Code Examples in Python and R
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Applied and Computational Mathematics - Applications in Finance and Data Science: AACM-2025, Mesra, India, February 13-15 (Springer Proceedings in Mathematics & Statistics, 568)
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Mapping Texts: Computational Text Analysis for the Social Sciences (Computational Social Science)
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Data Science for Beginners with MATLAB: A Practical, Hands-On Introduction to Data Analysis, Modeling, and Computational Thinking
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Computational Psychometrics – New Methods for Digital Learning & Assessment – Examples in R & Python
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Network Science: A Mathematical and Computational Introduction to Graphs and Complex Systems using R
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Doing Computational Social Science: A Practical Introduction
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