Introduction to Probability, Statistics & R : Foundations for Data-Based Sciences
Sujit K. Sahu
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A Practical Introduction to Regression Discontinuity Designs : Extensions
Matias D. (Princeton University) Cattaneo
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Logic and Information
Edwin (Te Herenga Waka – Victoria University of Wellington) Mares
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The Measurement of Subjective Probability
Edward J. R. (University of Leeds) Elliott
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Knowledge Discovery from Archaeological Materials
Pedro A. (Escuela Nacional de Antropologia e Historia) Lopez Garcia
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Statistics of Extremes and Records in Random Sequences
Prof Satya N. (Director of Research, Director of Research, C Majumdar
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Science Theory for Engineers and Physicists
Anders (Jonkoping University, Sweden) E. W. Jarfors
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Financial Mathematics, Derivatives and Structured Products
Raymond H. Chan
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The Art of Finding Hidden Risks : Hidden Regular Variation in the 21st Century
Sidney Resnick
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Elementary Stochastic Calculus, With Finance In View
Thomas (Univ Of Copenhagen, Denmark) Mikosch
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. (University of Washington) Brunton
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Causal Inference for Statistics, Social, and Biomedical Sciences : An Introduction
Guido W. (Stanford University, California) Imbens
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Bayesian Models : A Statistical Primer for Ecologists
N. Thompson Hobbs
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The Data Science Design Manual
Professor Steven S. Skiena
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Probability and Computing : Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Michael (Harvard University, Massachusetts) Mitzenmacher
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The Data Science Handbook
Field (Allen Institute for Artificial Intelligence; Stanford Uni Cady
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Spatio-Temporal Statistics with R
Christopher K. Wikle
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Random Graphs and Complex Networks
Remco van der (Technische Universiteit Eindhoven, The Netherl Hofstad
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The Fundamentals of Heavy Tails : Properties, Emergence, and Estimation
Jayakrishnan (Indian Institute of Technology, Bombay) Nair
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