An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
(ML 13.6) Graphical model for Bayesian linear regression
As an example, we write down the graphical model for Bayesian linear regression. We introduce the "plate notation", and the convention of shading random variables which are being conditioned on.
From playlist Machine Learning
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
10g Machine Learning: Isotonic Regression
Lecture on isotonic regression. Introduces the idea of a piece-wise linear model with monotonic constraint. Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_IsotonicRegression.ipynb
From playlist Machine Learning
We propose a sparse regression method capable of discovering the governing partial differential equation(s) of a given system by time series measurements in the spatial domain. The regression framework relies on sparsity promoting techniques to select the nonlinear and partial derivative
From playlist Research Abstracts from Brunton Lab
11f Machine Learning: Bayesian Regression Example
Review of a Bayesian linear regression model with posterior distributions for model parameters and the prediction model. Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_BayesianRegression.ipynb
From playlist Machine Learning
Data Science - Part XV - MARS, Logistic Regression, & Survival Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on extending the regression concepts brought forth in previous lectures. We wi
From playlist Data Science
Statistical Learning: 11.3 Estimation of Cox Model with Examples
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Rethinking Winter 2019 Lecture 13
Lecture 13 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapters 11 and 12: Poisson GLMs, survival analysis, zero-inflated distributions.
From playlist Statistical Rethinking Winter 2019
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag gives a recap of risk stratification and then ex
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Statistical Learning: 11.4 Model Evaluation and Further Topics
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Learning from Censored and Dependent Data - Constantinos Daskalakis
Computer Science/Discrete Mathematics Seminar I Topic: Learning from Censored and Dependent Data Speaker: Constantinos Daskalakis Affiliation: Massachusetts Institute of Technology; Member, School of Mathematics Date: March 9, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Statistical Learning: 11.2 Proportional Hazards Model
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
5. Risk Stratification, Part 2
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag continues with the topic of risk stratification.
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Statistically Valid Inferences from Privacy Protected Data
A Google TechTalk, presented by Gary King, 2020/09/18 Paper Title: "Statistically Valid Inferences from Privacy Protected Data" Abstract: Unprecedented quantities of data that could help social scientists understand and ameliorate the challenges of human society are presently locked away
From playlist Differential Privacy for ML
From playlist STAT 501
Statistical Rethinking 2023 - 09 - Modeling Events
Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro: https://www.youtube.com/watch?v=kFRdoYfZYUY River: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tide machine: https://www.youtube.com/watch?v=sAyVcM3g4q4
From playlist Statistical Rethinking 2023
