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Sound analysis and synthesis with R

Introduction to mathematics for economics with R

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

An introduction to optimal control theory : the dynamic programming approach

Engineering statistics : an introduction

Mathematics of epidemics on networks : from exact to approximate models

Brownian Motion, Martingales, and Stochastic Calculus

Descriptive statistics for scientists and engineers : applications in R

Time series analysis and its applications : with R examples

Python for probability, statistics, and machine learning

Measure theory, probability, and stochastic processes

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

Modern cryptography : applied mathematics for encryption and information security

Probability : an introduction through theory and exercises

Selected topics in Malliavin calculus : chaos, divergence and so much more

Statistical methods for data analysis : with applications in particle physics

Mathematics going forward : collected mathematical brushstrokes

Introduction to mathematics for economics with R

Mathematics and statistics for science

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

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

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

Stochastic methods for modeling and predicting complex dynamical systems : uncertainty quantification, state estimation, and reduced-order models

Models for data analysis : SIS 2018, Palermo, Italy, June 20-22

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