Numerical Engines in Quantitative Finance: Computational Methods for Pricing, Risk, Calibration, and Simulation
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THE HANDBOOK OF STATISTICAL GENOMICS: Quantitative Methods, Computational Frameworks, and Applications in Modern Genetic Research.
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THE HANDBOOK OF STATISTICAL GENOMICS: Quantitative Methods, Computational Frameworks, and Applications in Modern Genetic Research.
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Computational and Quantitative Studies: 6 (The Collected Works of M.A.K. Halliday): 6 (The Collected Works of M.A.K. Halliday): Volume 6
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Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques
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Computational Intelligence-based Solutions for Quantitative Problems in Engineering (Computing)
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Quantitative and Computational Approaches to Phonology – Elements in Phonology
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Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective
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Quantitative Methods in Derivative Pricing: An Introduction to Computational Finance
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Quantitative Economic Policy: Essays in Honour . Neck, Richter, Mooslechn<|
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Data Analytics and AI for Quantitative Risk Assessment and Financial Computation (Advances in Computational Intelligence and Robotics)
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Advanced Computational Macroeconomics & Policy Simulation with Python: Building Dynamic Macroeconomic Models for Forecasting and Strategic Decision-Making (Quantitative Economics & Python Series)
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Interpreting Discrete Choice Models (Elements in Quantitative and Computational Methods for the Social Sciences)
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Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods
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Agent-Based Models of Social Life: Fundamentals (Elements in Quantitative and Computational Methods for the Social Sciences)
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Advances in Quantitative Asset Management: 1 (Studies in Computational Finance, 1)
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Cattaneo & Matias D. – A Practical Introduction to Regression Discontinuity Designs – Foundations
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Foundations of Computational Economics with Python: Modeling Markets, Consumer Behavior, and Economic Systems Using Code (Quantitative Economics & Python Series)
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Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
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DeepAesthetics : Computational Experience in a Time of Machine Learning
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Survival Analysis: A New Guide for Social Scientists (Elements in Quantitative and Computational Methods for the Social Sciences)
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Modern Computational Finance : AAD and Parallel Simulations
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Agent-Based Models of Polarization and Ethnocentrism (Elements in Quantitative and Computational Methods for the Social Sciences)
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Quantitative Text Analysis Using R : Scraping, Preparing, Visualising and Modelling Data
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Quantile Modeling for Political Research (Elements in Quantitative and Computational Methods for the Social Sciences)
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Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems
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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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Quantitative, Qualitative, and Mixed Methodologies in Digital Social Sciences
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Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias (Elements in Quantitative and Computational Methods for the Social Sciences)
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The Computational Structure of Life Cycle Assessment
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Quantitative Methods for Finance with Simulations I : An Introduction to Stochastic Analysis and Option Pricing
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Quantile Modeling for Political Research (Elements in Quantitative and Computational Methods for the Social Sciences)
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Computational Literary Studies : Theory and Methods
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Quantitative Biosciences Companion in Python : Dynamics across Cells, Organisms, and Populations
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Computational Literary Studies : Theory and Methods
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