Decision theory | Bayesian inference | Expected utility
In decision theory, the expected value of sample information (EVSI) is the expected increase in utility that a decision-maker could obtain from gaining access to a sample of additional observations before making a decision. The additional information obtained from the sample may allow them to make a more informed, and thus better, decision, thus resulting in an increase in expected utility. EVSI attempts to estimate what this improvement would be before seeing actual sample data; hence, EVSI is a form of what is known as preposterior analysis. The use of EVSI in decision theory was popularized by Robert Schlaifer and Howard Raiffa in the 1960s. (Wikipedia).
Expected Value of a Discrete Probability Distribution
This video explains how to determine the expected value or mean value of a discrete probability distribution. http://mathispower4u.com
From playlist Probability
Expected Value of the Bernoulli Distribution | Probability Theory
How do we derive the mean or expected value of a Bernoulli random variable? We'll be going over that in today's probability theory lesson! Remember a Bernoulli random variable is a random variable that is equal to 1 (success) with probability p and equal to 0 (failure) with probability 1-
From playlist Probability Theory
A quick introduction to expected value formulas.
From playlist Basic Statistics (Descriptive Statistics)
Expected Value of a Binomial Probability Distribution
Today, we derive the formula to find the expected value or the mean of a discrete random variable which follows the binomial probability distribution.
From playlist Probability
Prob & Stats - Random Variable & Prob Distribution (12 of 53) The Expected Value Ex. 1
Visit http://ilectureonline.com for more math and science lectures! In this video I will define expected value of a random variable and find the expected value of the number of customers standing in line in a grocery store. Next video in series: http://youtu.be/k2l3BCd6Xjk
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Find the Expected Value (Mean) for a Discrete Random Variable Prob Dist - Partial Table
This video explains how to determine the expected value (mean) given a discrete random variable probability distribution.
From playlist Discrete Random Variables
Discrete Population Expected Value applications
Discrete Population Expected Value applications
From playlist Exam 1 material
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
#deeplearning #nlp #sampling Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data, yet when sampling from their output distributions, the generated text often seems dull and uninteresting. Various workarounds have been proposed,
From playlist Papers Explained
Author Interview - Typical Decoding for Natural Language Generation
#deeplearning #nlp #sampling This is an interview with first author Clara Meister. Paper review video hereé https://youtu.be/_EDr3ryrT_Y Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data, yet when sampling from their output d
From playlist Natural Language Processing
“Data-Driven Pricing” – Prof. Omar Besbes
Pricing is central to many industries and academic disciplines ranging from Operations Research to Economics and Computer Science. At the heart of pricing lies a fundamental informational dimension regarding the level of knowledge about customers' values. In practice, the latter comes from
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
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)
Statistical Rethinking - Lecture 08
Lecture 08 - Model comparison (2) - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Nexus Trimester - Graham Cormode (University of Warwick) 2/2
Streram, sketching and Big Data - 2/2 Graham Cormode (University of Warwick) March 08, 2016 Abstract: A fundamental challenge in processing the massive quantities of information generated by modern applications is in extracting suitable representations of the data that can be stored, mani
From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester
Statistical data analysis | Statistical Data Science | Part 1
In this course you will learn how to analyze data. #Statistic plays important role in terms of data analysis. Here you will get exposed to utilize and understand various statistical method to analyse data. The following topic has discussed in this course. - Central tendency (mean and me
From playlist Data Analysis
Prob & Stats - Random Variable & Prob Distribution (43 of 53) The Expected Value
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the expected value of a binomial distribution. Next video in series: http://youtu.be/zup2EhXJSsk
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Lecture 05: Temporal-Difference Learning
Fifth lecture video on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files are available here: https://github.com/upb-lea/reinforcement_learning_course_materials
From playlist Reinforcement Learning Course: Lectures (Summer 2020)
Expected Values of Discrete Random Variables - Statistics
We talk about how to find the expected value of discrete random variables given their pmfs. We also talk about Bernoulli random variables in this #statistics and #probability video. Join this channel to get access to perks: https://www.youtube.com/channel/UCGYSfZbPp3BiAFs531PBY7g/join In
From playlist Statistics
SPSS Tutorial for data analysis | SPSS for Beginners | Part 2
SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions are named IBM SPSS Statistics. In this course you will how to use SPSS for data analysis. This #SPSS course is begi
From playlist SPSS data Analysis