Parameter Estimation Courses and Certifications

JuliaHub

Time-varying Parameter Estimation in System Identification with Julia - Part 10

Explore online parameter estimation techniques in Julia using state estimators from LowLevelParticleFilters.jl for dynamic system modeling and time-varying parameter identification.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Statistical Estimation for Data Science and AI

97 ratings at Coursera

Construct and evaluate estimators: method of moments, maximum likelihood, the Cramér–Rao lower bound, and confidence intervals for means, variances, and proportions.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid Course

Point estimation

1 rating at OpenLearn

This free course looks at point estimation, that is, the estimation of the value of the parameter of a statistical model by a single number, a point estimate for the parameter. Section 1 develops ...

• OpenLearn
• 10 hours
• Self-Paced
• Free Certificate

Observation Theory: Estimating the Unknown

1 rating

Learn how to estimate parameters from observational data for real-world engineering applications and assess the quality of the results.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Certificate

Nonlinear Kalman Filters (and Parameter Estimation)

Derive and implement extended and sigma-point Kalman filters in Octave for nonlinear systems, tune noise-covariance values adaptively, and estimate state-space model parameters.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Steve Brunton

Error in the Method of Moments

Explore error estimation techniques for method of moments parameter estimates using analytic derivations and Monte Carlo bootstrap sampling methods.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Steve Brunton

Method of Moments to Fit Distributions from Data

Master the method of moments technique for fitting probability distribution parameters using sample data, with practical examples including Poisson and normal distributions.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

JuliaHub

System Identification with Julia: Prediction-Error Method for Linear Models - Part 4

Master linear state-space modeling through prediction-error method (PEM) in Julia. Implement parameter estimation for linear ODEs, validate results, and explore advanced PEM options for system identification.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

JuliaHub

Parameter Calibration for Nonlinear ODEs in System Identification - Part 9

Master parameter calibration in nonlinear ODE systems using prediction-error methods and Julia programming for effective system identification and dynamic model estimation.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Point Estimation - Method of Moments - Part 1

Explore the Method of Moments technique for point estimation in statistical analysis, understanding its principles and applications.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

AnalystPrep

The Vasicek and Gauss+ Models - FRM Part 2 - Chapter 16

Explore the Vasicek and Gauss+ Models for FRM Part 2, comparing their dynamics, features, and applications while learning to calculate interest rate factors and estimate model parameters from empirical data.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Mixture Models in R

27 ratings at DataCamp

Mixture modeling is a way of representing populations when we are interested in their heterogeneity.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Steve Brunton

Parameter Estimation and Fitting Distributions

Explore parameter estimation in statistics through radioactive decay examples, covering classic and modern ML approaches with hands-on coding demonstrations.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

UofU Data Science

Hidden Markov Models - Parameter Estimation and Efficient Inference

Master parameter estimation and efficient inference techniques for Hidden Markov Models, exploring key algorithms and mathematical foundations for probabilistic sequence modeling and pattern recognition.

• YouTube
• 1 hour
• Self-Paced
• Free Video

UofU Data Science

Linear Regression and Parameter Estimation in R - Lecture 17

Master linear regression techniques in R while exploring parameter estimation and random variable estimators through hands-on statistical analysis and practical applications.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video