Search result for Parametric estimation Online Courses & Certifications
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Linear Regression, GLMs and GAMs with R
by Geoffrey Hubona, Ph.D.- 4.1
8 hours on-demand video
The course demonstrates the estimation of GLMs and GAMs by working through a series of practical examples from the book Generalized Additive Models: An Introduction with R by Simon N. GAMs allow for the estimation of regression coefficients that take the form of non-parametric smoothers....
$12.99
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation....
$149
Mathematics & Statistics of Machine Learning & Data Science
by Cinnamon TechX- 4.2
11 hours on-demand video
Parametric Methods Nonparametric Density Estimation...
$12.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Parameter Estimation in Bayesian Networks Maximum Likelihood Estimation Maximum Likelihood Estimation for Bayesian Networks Bayesian Estimation Bayesian Estimation for Bayesian Networks Learning in Parametric Models MAP Estimation for MRFs and CRFs Parameter Estimation in MNs...
Robotics: Estimation and Learning
by Daniel Lee- 4.3
Approx. 15 hours to complete
GMM Parameter Estimation via EM Bayesian Estimation - Target Tracking Maximum-A-Posterior Estimation Bayesian Estimation - Localization...
Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
Approx. 66 hours to complete
Module 8: Introduction to Density Estimation Introduction to Density Estimation Advanced Density Estimation...
Mathematical Biostatistics Boot Camp 2
by Brian Caffo, PhD- 4.4
Approx. 12 hours to complete
Estimation of the Marginal Difference in Proportions...
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Understanding Clinical Research: Behind the Statistics
by Juan H Klopper- 4.8
Approx. 27 hours to complete
Introduction to parametric tests Key notes: Parametric tests Test your knowledge: Parametric tests...
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
Approx. 22 hours to complete
Framing Value Estimation as Supervised Learning...