Parameter Estimation Courses and Certifications

statisticsmatt

Maximum Likelihood Estimation

Comprehensive exploration of Maximum Likelihood Estimation across various probability distributions, including practical applications using R for data generation and parameter estimation.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Statistics is Fun A.H

Method of Moments Topics

Explore estimation techniques for various probability distributions using the Method of Moments, including gamma, uniform, normal, binomial, and Pareto.

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

Alan Turing Institute

Time Series Class - Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh

Learn fundamental concepts and advanced techniques for analyzing time series data, including ARMA models, state-space models, and neural networks for forecasting and inference.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

Alan Turing Institute

Time Series Class - Part 1 - Dr. Ioannis Papastathopoulos, University of Edinburgh

Learn fundamental concepts and advanced techniques in time series analysis, including ARMA models, state-space models, and neural networks for forecasting and inference.

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

Alan Turing Institute

Time Series Class - Part 2 - Professor Chris Williams, University of Edinburgh

Explore time series analysis, from moving average models to advanced state-space techniques and recurrent neural networks. Gain practical skills in parameter estimation, forecasting, and applying models to real-world data.

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

Alan Turing Institute

Simulation - The Challenge for Data Science

Exploring the fusion of simulation models and machine learning for policy analysis, addressing challenges in parameter estimation and initialization for complex systems forecasting.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Alan Turing Institute

Simulation - The Challenge for Data Science - J. Doyne Farmer

Exploring challenges in simulation models for data science, focusing on parameter estimation and initialization. Discusses fusion with machine learning and potential impact on policy analysis and forecasting.

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

Simons Institute

Recent Progress in High-Dimensional Learning

Explore recent advancements in high-dimensional learning, covering robust estimation, maximum likelihood, and algorithmic approaches for handling noise and adversarial scenarios.

• YouTube
• 1 hour 7 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)

Waveform Systematics in the Gravitational-Wave Inference of Tidal Parameters

Exploración de sistemáticas en formas de onda para inferir parámetros de marea y ecuación de estado en señales de ondas gravitacionales de sistemas binarios de estrellas de neutrones.

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

Institute for Pure & Applied Mathematics (IPAM)

A Brief Introduction to Nested Sampling - IPAM at UCLA

Explore Nested Sampling for Bayesian model uncertainty and selection. Learn its principles, advantages, and recent extensions like Dynamic Nested Sampling for estimating marginal likelihoods and posterior distributions.

• YouTube
• 38 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

Institute for Pure & Applied Mathematics (IPAM)

Black Hole Astrophysics With Gravitational-Wave Catalogs - IPAM at UCLA

Explore black hole astrophysics through gravitational-wave data, uncovering insights on mass distribution, spin, and redshift evolution. Learn about pair-instability mass gap and formation-to-merger time delays.

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

Institute for Pure & Applied Mathematics (IPAM)

Cosmology with Dark Sirens - Attempting to Solve the Hubble Constant Tension

Explore gravitational waves for cosmology, focusing on dark sirens and galaxy catalogs to address Hubble constant tension. Learn challenges in GW-based cosmological parameter estimation.

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

Applied Algebraic Topology Network

Farzana Nasrin - Random Persistence Diagram Generator

Explore a method for generating random persistence diagrams using parametric models and Markov chain Monte Carlo algorithms, with applications in material science and topology.

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