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Applied Probability: From Random Experiments to Random Sequences and Statistics
Applied Probability: From Random Experiments to Random Sequences and Statistics
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Principles Of Statistical Inference From A Neo-fisherian Perspective: 4 (Advanced Series on Statistical Science & Applied Probability)
Principles Of Statistical Inference From A Neo-fisherian Perspective: 4 (Advanced Series on Statistical Science & Applied Probability)
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Will You Be Alive 10 Years from Now? - And Numerous Other Curious Questions in Probability
Will You Be Alive 10 Years from Now? - And Numerous Other Curious Questions in Probability
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A History of the Central Limit Theorem: From Classical to Modern Probability Theory (Sources and Studies in the History of Mathematics and Physical Sciences)
A History of the Central Limit Theorem: From Classical to Modern Probability Theory (Sources and Studies in the History of Mathematics and Physical Sciences)
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Will You Be Alive 10 Years from Now?: And Numerous Other Curious Questions in Probability
Will You Be Alive 10 Years from Now?: And Numerous Other Curious Questions in Probability
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Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference
Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference
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Problems and Snapshots from the World of Probability
Problems and Snapshots from the World of Probability
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Introduction to Probability and Statistics from a Bayesian Viewpoint – Cambridge University Press
Introduction to Probability and Statistics from a Bayesian Viewpoint – Cambridge University Press
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Conditionals, Paradox, and Probability: Themes from the Philosophy of Dorothy Edgington
Conditionals, Paradox, and Probability: Themes from the Philosophy of Dorothy Edgington
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Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics (Adams 101 Series)
Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics (Adams 101 Series)
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Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
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Fat Chance: Probability from 0 to 1
Fat Chance: Probability from 0 to 1
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History of the mathematical theory of probability from the time of Pascal to that of Laplace
History of the mathematical theory of probability from the time of Pascal to that of Laplace
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The Principles of Probability: From Formal Logic to Measure Theory to the Principle of Indifference (Lecture Notes in Mathematics, 2384)
The Principles of Probability: From Formal Logic to Measure Theory to the Principle of Indifference (Lecture Notes in Mathematics, 2384)
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Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
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From Classical Analysis to Analysis on Fractals: A Tribute to Robert Strichartz, Volume 2 (Applied and Numerical Harmonic Analysis)
From Classical Analysis to Analysis on Fractals: A Tribute to Robert Strichartz, Volume 2 (Applied and Numerical Harmonic Analysis)
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Malevergne - Extreme Financial Risks From Dependence to Risk Managem - X555z
Malevergne - Extreme Financial Risks From Dependence to Risk Managem - X555z
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Naked Statistics: Stripping the Dread from the Data
Naked Statistics: Stripping the Dread from the Data
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Data Clustering with Python: From Theory to Implementation (Chapman & Hall/CRC The Python Series)
Data Clustering with Python: From Theory to Implementation (Chapman & Hall/CRC The Python Series)
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Understanding Kurtosis: From Statistical Theory to Practical Applications
Understanding Kurtosis: From Statistical Theory to Practical Applications
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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 (Sources and Studies in the History of Mathematics and Physical Sciences)
A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 (Sources and Studies in the History of Mathematics and Physical Sciences)
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Statistics from A to Z: Confusing Concepts Clarified – Wiley-VCH
Statistics from A to Z: Confusing Concepts Clarified – Wiley-VCH
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Normal Approximations with Malliavin Calculus: From Stein's Method to Universality: 192 (Cambridge Tracts in Mathematics, Series Number 192)
Normal Approximations with Malliavin Calculus: From Stein's Method to Universality: 192 (Cambridge Tracts in Mathematics, Series Number 192)
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Decision Making under Deep Uncertainty: From Theory to Practice – Springer Verlag
Decision Making under Deep Uncertainty: From Theory to Practice – Springer Verlag
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Pattern Theory: From representation to inference
Pattern Theory: From representation to inference
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Pierre-Simon Laplace Philosophical Essay on Probabilities: Translated from the fifth French edition of 1825 With Notes by the Translator: 13 (Sources ... of Mathematics and Physical Sciences, 13)
Pierre-Simon Laplace Philosophical Essay on Probabilities: Translated from the fifth French edition of 1825 With Notes by the Translator: 13 (Sources ... of Mathematics and Physical Sciences, 13)
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Statistical Quantitative Methods in Finance: From Theory to Quantitative Portfolio Management
Statistical Quantitative Methods in Finance: From Theory to Quantitative Portfolio Management
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Analytic Methods in Sports : Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports
Analytic Methods in Sports : Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
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Statistical Thinking from Scratch: A Primer for Scientists
Statistical Thinking from Scratch: A Primer for Scientists
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Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 (Springer Proceedings in Mathematics & Statistics, 461)
Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 (Springer Proceedings in Mathematics & Statistics, 461)
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The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making: 33 (Chapman and Hall/CRC Financial Mathematics Series)
The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making: 33 (Chapman and Hall/CRC Financial Mathematics Series)
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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
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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)
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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MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo
MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo
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Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence: An Intuitive Guide and Practical Steps of Learning from Data
Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence: An Intuitive Guide and Practical Steps of Learning from Data
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The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science
The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science
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Machine Learning in Finance: From Theory to Practice
Machine Learning in Finance: From Theory to Practice
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Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management
Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management
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Understanding Inferential Statistics: From A for Significance Test to Z for Confidence Interval
Understanding Inferential Statistics: From A for Significance Test to Z for Confidence Interval
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