Microeconometrics and MATLAB: An Introduction 비슷한 책 더 보기

Numerical Methods and Optimization in Finance Numerical Methods and Optimization in Finance
Numerical Methods and Optimization in Finance
2019년
Financial Modelling Financial Modelling
Financial Modelling
2012년
Machine Learning and Big Data with kdb+/q Machine Learning and Big Data with kdb+/q
Machine Learning and Big Data with kdb+/q
2019년
Reinforcement Learning and Stochastic Optimization Reinforcement Learning and Stochastic Optimization
Reinforcement Learning and Stochastic Optimization
2022년
Approximate Dynamic Programming Approximate Dynamic Programming
Approximate Dynamic Programming
2011년
Simulation-Based Optimization Simulation-Based Optimization
Simulation-Based Optimization
2014년
Numerical Methods in Finance and Economics Numerical Methods in Finance and Economics
Numerical Methods in Finance and Economics
2013년
Optimization Techniques and Applications with Examples Optimization Techniques and Applications with Examples
Optimization Techniques and Applications with Examples
2018년
Machine Learning for Economics and Finance in TensorFlow 2 Machine Learning for Economics and Finance in TensorFlow 2
Machine Learning for Economics and Finance in TensorFlow 2
2020년
Advanced Problem Solving Using Maple Advanced Problem Solving Using Maple
Advanced Problem Solving Using Maple
2020년
Core Statistics Core Statistics
Core Statistics
2015년
Modeling and Optimization: Theory and Applications Modeling and Optimization: Theory and Applications
Modeling and Optimization: Theory and Applications
2015년
Handbook of Computational Economics Handbook of Computational Economics
Handbook of Computational Economics
2013년
Handbook in Monte Carlo Simulation Handbook in Monte Carlo Simulation
Handbook in Monte Carlo Simulation
2014년
Advances in Stochastic and Deterministic Global Optimization Advances in Stochastic and Deterministic Global Optimization
Advances in Stochastic and Deterministic Global Optimization
2016년