Parameter Estimation Courses and Certifications

International Centre for Theoretical Sciences

Workshop on Parameter Estimation with Bilby by Greg Ashton

Learn advanced techniques for gravitational wave parameter estimation using bilby software, focusing on practical applications and data analysis methods.

• YouTube
• 1 hour 40 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Workshop on Parameter Estimation with Bilby by Greg Ashton

Learn parameter estimation techniques for gravitational wave analysis using bilby software, focusing on Bayesian inference and practical applications in astrophysics.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Fields Institute

Parameter Estimation in Mathematical Oncology - Lecture

Dive into advanced techniques for parameter estimation in mathematical oncology, exploring key concepts and practical applications.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

WHU - Otto Beisheim School of Management

误差理论与测量平差基础

Master error theory and measurement adjustment fundamentals for surveying and mapping, covering optimal estimation, adjustment models, and dynamic measurement systems with practical applications in GNSS, photogrammetry, and engineering.

• XuetangX
• On-Demand
• Free Online Course

CIMPA UCR

Comparación de Estimadores Robustos para los Parámetros de una Distribución Beta - Parte 2

Explora estimadores robustos para parámetros de distribución Beta P2 con Roberto C. Duarte en una charla concisa de 18 minutos.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Probabilistic Graphical Models 3: Learning

299 ratings at Coursera

Learn to build probabilistic graphical models from data, covering parameter estimation, structure learning, and handling incomplete data. Explore advanced techniques for both directed and undirected models.

• Coursera
• 66 hours
• On-Demand
• Free Online Course (Audit)

Computational Probability and Inference

3 reviews

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

• edX
• 12 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Applied Kalman Filtering

Derive, design, and implement Kalman-filter solutions for engineering problems. Develop linear and nonlinear Kalman filters and particle filters in Octave, enhancing state estimation skills.

• Coursera
• On-Demand
• Paid Course
• 4 courses

Nonlinear Kalman Filters (and Parameter Estimation)

Explore advanced nonlinear Kalman filtering techniques for state estimation, including extended and sigma-point filters. Learn implementation, comparison, and parameter estimation for complex dynamic systems.

• Coursera
• 21 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Bayesian Statistics: Time Series Analysis

15 ratings at Coursera

Explore time series analysis through Bayesian statistics, covering AR processes and Normal Dynamic Linear Models. Apply concepts using R for practical data analysis and forecasting.

• Coursera
• 22 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Mixture Models in R

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

R Programming for Simulation and Monte Carlo Methods

405 ratings at Udemy

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

• Udemy
• 12 hours
• On-Demand
• Paid Course

Statistical Thinking in Python (Part 2)

16 ratings at DataCamp

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available