Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Likelihood Estimation - THE MATH YOU SHOULD KNOW!
Likelihood is a confusing term. It is not a probability, but is proportional to a probability. Likelihood and probability can't be used interchangeably. In this post, we will be dissecting the likelihood as a concept and understand why likelihood is important in machine learning. We will a
From playlist The Math You Should Know
Probability is not Likelihood. Find out why!!!
NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc . That video provides context that gives this video more meaning. Here's one of those tricky little things, Probability vs. Likelihood. In common conversation we use these
From playlist StatQuest
Learn to find the or probability from a tree diagram
👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
EXTRA MATH Lec 6B: Maximum likelihood estimation for the binomial model
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. The likelihood ratio test maximizes the probability of correctly deciding hypothesis H_1 is true for any given probability of deciding H_0 is
From playlist Estimation and Detection Theory
Linear regression (5): Bias and variance
Inductive bias; variance; relationship to over- & under-fitting
From playlist cs273a
Writing the contrapositive statement from a conditional statement
👉 Learn how to find the contrapositive of a statement. The contrapositive of a statement is the switching of the hypothesis and the conclusion of a conditional statement and negating both. If the hypothesis of a statement is represented by p and the conclusion is represented by q, then the
From playlist Contrapositive of a Statement
Definitions of random variable, Outcome versus Event, Mutually exclusive events, and Exhaustive events. For more financial risk videos, visit our website! http://www.bionicturtle.com
From playlist Statistics: Introduction
Maximum Likelihood For the Normal Distribution, step-by-step!!!
Calculating the maximum likelihood estimates for the normal distribution shows you why we use the mean and standard deviation define the shape of the curve. NOTE: This is another follow up to the StatQuests on Probability vs Likelihood https://youtu.be/pYxNSUDSFH4 and Maximum Likelihood: h
From playlist StatQuest
Likelihood | Log likelihood | Sufficiency | Multiple parameters
See all my videos here: http://www.zstatistics.com/ *************************************************************** 0:00 Introduction 2:17 Example 1 (Discrete distribution: develop your intuition!) 7:25 Likelihood 8:52 Likelihood ratio 10:00 Likelihood function 11:05 Log likelihood funct
From playlist Statistical Inference (7 videos)
Maximum Likelihood Estimation (MLE) | Score equation | Information | Invariance
For all videos see http://www.zstatistics.com/ 0:00 Introduction 2:50 Definition of MLE 4:59 EXAMPLE 1 (visually identifying MLE from Log-likelihood plot) 10:47 Score equation 12:15 Information 14:31 EXAMPLE 1 calculations (finding the MLE and creating a confidence interval) 19:21 Propert
From playlist Statistical Inference (7 videos)
Howard Bondell - Bayesian inference using estimating equations via empirical likelihood
Professor Howard Bondell (University of Melbourne) presents "Do you have a moment? Bayesian inference using estimating equations via empirical likelihood", 22 October 2021.
From playlist Statistics Across Campuses
From playlist COMP0168 (2020/21)
This video follows from where we left off in Part 3 of the Logistic Regression series, but the ideas are more general, so I decided not to make it just Part 4, since it's more than just that. NOTE: This StatQuest assumes that you are already familiar with Logistic Regression. If you're no
From playlist StatQuest
Logistic Regression Details Pt 2: Maximum Likelihood
This video follows from where we left off in Part 1 in this series on the details of Logistic Regression. This time we're going to talk about how the squiggly line is optimized to best fit the data. NOTE: This StatQuest assumes that you are already familiar with Part 1 in this series, Log
From playlist StatQuest
Maximum Likelihood for the Binomial Distribution, Clearly Explained!!!
Calculating the maximum likelihood estimate for the binomial distribution is pretty easy! This StatQuest takes you through the formulas one step at a time. This StatQuest follows up and builds on the following StatQuests: Maximum Likelihood, Clearly Explained: https://youtu.be/XepXtl9YKwc
From playlist StatQuest
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
EXTRA MATH 6A: introduction to likelihood theory
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org