Parameter Estimation Courses and Certifications

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

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

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

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
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

EBW as a General, Consistent Framework for Parameter Estimation

Explore EBW as a unified framework for parameter estimation in speech and language processing through expert insights from IBM Research.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

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
• Paid Course

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
• On-Demand
• Free Video

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Harvard CMSA

Counterfactual Inference with Unobserved Confounding via Exponential Family

Delve into counterfactual inference methods for personalized decision-making systems, exploring exponential family modeling and efficient parameter estimation techniques for handling unobserved confounding variables.

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

Statistical Thinking in Python (Part 2)

17 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

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