Search result for Generalized linear models Online Courses & Certifications
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Linear Regression, GLMs and GAMs with R
by Geoffrey Hubona, Ph.D.- 4.1
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8 hours on-demand video
How to extend linear regression to specify and estimate generalized linear models and additive models. Linear statistical models have a univariate response modeled as a linear function of predictor variables and a zero mean random error term. Generalized linear models (GLMs) relax this assumption of linearity. Generalized additive models (GAMs) are extensions of GLMs....
$12.99
Comprehensive Linear Modeling with R
by Geoffrey Hubona, Ph.D.- 3.9
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14.5 hours on-demand video
The course then progresses through linear regression and a section on validating linear models. Then generalized linear modeling (GLM) is explained and demonstrated with numerous examples. Also included are sections explaining and demonstrating linear and non-linear models for survival analysis, smoothers and generalized additive models (GAMs), longitudinal models with and without generalized estimating equations (GEE), mixed-effects, split-plot, and nested designs....
$12.99
Advanced Forecasting Models with Excel
by Diego Fernandez- 3.2
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8 hours on-demand video
Estimate autoregressive integrated moving average models with residuals or forecasting errors assumed as Gaussian or Student’s t distributed and with Bollerslev simple or Glosten-Jagannathan-Runkle threshold generalized autoregressive conditional heteroscedasticity effects such as random walk with drift and differentiated first order autoregressive. Then, you’ll evaluate generalized autoregressive conditional heteroscedasticity models forecasting accuracy....
$12.99
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. What Do We Mean by Fitting Models to Data? WEEK 2 - FITTING MODELS TO INDEPENDENT DATA Multilevel Linear Regression Models Marginal Linear Regression Models...
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Linear regression Linear model selection and regularization...
$149
Principles of fMRI 1
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.6
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Approx. 8 hours to complete
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). Module 15: General Linear Model Module 17: Details of Building GLM Models Module 18: Linear Basis Sets...
Fundamentals of Statistics
by Philippe Rigollet , Jan-Christian Hütter , Karene Chu- 0.0
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18 Weeks
How to select variables in linear regression? Choose between different models using goodness of fit test Make prediction using linear, nonlinear and generalized linear models...
$300
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Обобщенные линейные модели
by Варфоломеева Марина Александровна , Хайтов Вадим Михайлович- 0.0
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Approx. 16 hours to complete
Обобщенные линейные модели (Generalized Linear Models, GLM) позволяют обойти это ограничение. All models are wrong...
Designing, Running, and Analyzing Experiments
by Scott Klemmer , Jacob O. Wobbrock- 3.6
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Approx. 15 hours to complete
Introduction to Generalized Linear Models Analyzing Three Generalized Linear Models Understanding Generalized Linear Models Doing Generalized Linear Models The Power of Mixed Effects Models Introduction to Mixed Effects Models Analyzing a Linear Mixed Model Analyzing a Generalized Linear Mixed Model Understanding Mixed Effects Models Doing Mixed Effects Models...
Regression Analysis for Statistics & Machine Learning in R
by Minerva Singh- 4.2
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7.5 hours on-demand video
This course is based on my years of regression modelling experience and implementing different regression models on real life data. Evaluate regression model accuracyImplement generalized linear models (GLMs) such as logistic regression and Poisson regression. Use non-parametric techniques such as Generalized Additive Models (GAMs) to work with non-linear and non-parametric data....
$12.99
