About this class
This course covers important techniques from both mathematical and statistical modeling, including the use of ordinary differential equations to model deterministic systems, classic local search and simulated annealing to explore large search spaces.
Comments (0)
Learning Material
Title
Volume
Unit1: Stochastic Differential Equations
5.89 MB
<p>Stochastic Differential Equations</p>
Unit2: Bayesian Statistical Modeling
5.89 MB
<p>Bayesian Statistical Modeling</p>
Unit3: Nonlinear Regression Analysis
5.89 MB
<p>Nonlinear Regression Analysis</p>
Unit4: Multilevel and Hierarchical Models
5.89 MB
<p>Multilevel and Hierarchical Models</p>
Unit5: Time Series Analysis and Forecasting
5.89 MB
<p>Time Series Analysis and Forecasting</p>
Unit6: Computational Statistics and Monte Carlo Methods
5.89 MB
<p>Computational Statistics and Monte Carlo Methods</p>
Unit7: Structural Equation Modeling
5.89 MB
<p>Structural Equation Modeling</p>
Unit8: Machine Learning Algorithms in Statistical Modeling
5.89 MB
<p>Machine Learning Algorithms in Statistical Modeling</p>
0
0 Reviews
.JPG)