Practical Machine Learning with R : Tutorials and Case Studies
Carsten Lange
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Practical Machine Learning with R : Tutorials and Case Studies
Carsten Lange
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Non-Stationary Stochastic Processes Estimation : Vector Stationary Increments, Periodically Stationary Multi-Seasonal Increments
Maksym Luz
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How to Make the World Add Up : Ten Rules for Thinking Differently About Numbers
Tim Harford
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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Making Hard Decisions with DecisionTools
Clemen/Reilly
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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Time Series Analysis by State Space Methods
James Durbin
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Time Series Analysis by State Space Methods
James Durbin
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The Credit Scoring Toolkit : Theory and Practice for Retail Credit Risk Management and Decision Automation
Raymond Anderson
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Structural Vector Autoregressive Analysis
Lutz Kilian
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The Oxford Handbook of Bayesian Econometrics
John Geweke
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Structural Vector Autoregressive Analysis
Lutz Kilian
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Stochastic Processes with Applications to Finance
Masaaki Kijima
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Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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Microeconometrics : Methods and Applications
A. Colin Cameron
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Practical Microsimulation Modelling
Cathal O'Donoghue
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Asymptotic Theory for Econometricians
Halbert White
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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Econometric Modelling with Time Series : Specification, Estimation and Testing
Vance Martin
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Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques
Edward W. Frees
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