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Sound analysis and synthesis with R

Advanced Statistics for the Behavioral Sciences : A Computational Approach with R

Numerical methods for solving discrete event systems : with applications to queueing systems

An introduction to optimal control theory : the dynamic programming approach

Mathematics of epidemics on networks : from exact to approximate models

R for Marketing Research and Analytics

Learn ggplot2 Using Shiny App

Time series analysis and its applications : with R examples

Credit-Risk Modelling : Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python

Python for probability, statistics, and machine learning

Measure theory, probability, and stochastic processes

Stochastic Models for Time Series

Non-academic careers for quantitative social scientists : a practical guide to maximizing your skills and opportunities

The probability integral : its origin, its importance, and its calculation

Probability : an introduction through theory and exercises

Statistical methods for data analysis : with applications in particle physics

Multiple Criteria Decision Making and Aiding : Cases on Models and Methods with Computer Implementations

Mathematics and statistics for science

Theory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications

Optimal experimental design : a concise introduction for researchers

Epidemics : models and data using R

Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis

Meta-analysis with R

Applied Compositional Data Analysis : With Worked Examples in R

Analysis in Banach Spaces : Volume II: Probabilistic Methods and Operator Theory

Winning at litigation through decision analysis : creating and executing winning strategies in any litigation or dispute

Uncertainty quantification : an accelerated course with advanced applications in computational engineering

Dirichlet forms methods for Poisson point measures and Levy processes : with emphasis on the creation-annihilation techniques

Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes

The essence of turbulence as a physical phenomenon : with emphasis on issues of paradigmatic nature

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