Parameter Estimation Courses and Certifications

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

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

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
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Power Spectral Density Uncertainty and Gravitational-Wave Parameter Estimation

Explore power spectral density uncertainty in gravitational-wave parameter estimation, its impact on Bayesian analysis, and methods to incorporate this uncertainty for more accurate results in compact binary coalescence detection.

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

Institute for Pure & Applied Mathematics (IPAM)

Real-Time Gravitational-Wave Parameter Estimation Using Machine Learning

Explore machine learning for real-time gravitational-wave parameter estimation, covering Bayesian inference, neural networks, and simulation-based techniques to enhance speed and accuracy in astrophysical data analysis.

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

VinAI

Parameter Estimation and Interpretability in Bayesian Mixture Models

Explore posterior contraction in Bayesian mixture modeling, examining parameter estimation and model interpretability under correct and misspecified conditions. Gain insights into tradeoffs between expressiveness and interpretability.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

The Julia Programming Language

PEtab.jl - Efficient Parameter Estimation for Dynamic Models

Explore efficient parameter estimation for dynamic models in biology using PEtab.jl. Learn to import problems, set up estimations, and choose optimal gradient computation methods.

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

International Centre for Theoretical Sciences

Crop Phenology and Bio-Physical Parameter Estimation from Remote Sensing Data and Applications

Explore crop phenology and bio-physical parameter estimation using remote sensing data and applications for agricultural monitoring and analysis.

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

IPhT-TV

Parameter Estimation with Simulation Based Inference in ATLAS

Discover simulation-based inference techniques for parameter estimation in ATLAS particle physics experiments at CERN.

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

INI Seminar Room 2

Sequential Bayesian Methods for Parameter Estimation and Applications with Imaging Data

Discover sequential Bayesian approaches for parameter estimation in dynamical systems, focusing on time-varying parameters and practical applications with imaging data.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

JuliaHub

Model Calibration and Parameter Estimation with JuliaSim Model Optimizer

Master parameter estimation and model calibration techniques using JuliaSim Model Optimizer to match data with models through automated optimization, inverse problem solving, and model autocomplete features.

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

JuliaHub

Control of Rotary Pendulum - Parameter Estimation Using Maximum-Likelihood - Part 5

Dive into maximum-likelihood estimation for rotary pendulum control using unscented Kalman filters and gradient-based optimization with automatic differentiation in Julia.

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

Institute for Advanced Study

Gravitational Wave Parameter Estimation

Explore gravitational wave parameter estimation techniques and methodologies with expert insights from theoretical physics research.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Parameter Estimation in the Presence of Temporal Correlations

Explore parameter estimation techniques for systems with temporal correlations in quantum trajectories, focusing on theoretical challenges and mathematical approaches to quantum measurement and control.

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