Populations, Samples, Parameters, and Statistics
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From playlist Statistics
The Poisson is a classic distribution used in operational risk. It often fits (describes) random variables over time intervals. For example, it might try to characterize the number of low severity, high frequency (HFLS) loss events over a month or a year. It is a discrete function that con
From playlist Statistics: Distributions
Fixed Effects and Random Effects
Brief overview in plain English of the differences between the types of effects. Problems with each model and how to overcome them.
From playlist Experimental Design
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
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
Irrigation Efficiencies - Part 1
From playlist TEMP 1
Variance (4 of 4: Proof of two formulas)
More resources available at www.misterwootube.com
From playlist Random Variables
Eilam Gross: Statistics for High Energy Physics 📊 1/3⎪CERN
The lectures emphasize the frequentist approach used for Dark Matter search and the Higgs search, discovery and measurements of its properties. An emphasis is put on hypothesis test using the asymptotic formulae formalism and its derivation, and on the derivation of the trial factor formu
From playlist CERN Academic Lectures
How to do the 3x2pt analysis of SZ and galaxies - Komatsu - Workshop 2 - CEB T3 2018
Eiichiro Komatsu (Max Planck Institute for Astrophysics) / 25.10.2018 How to do the 3x2pt analysis of SZ and galaxies ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoinc
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Tamir Bendory - Recovering small molecular structures using cryo-EM - IPAM at UCLA
Recorded 16 November 2022. Tamir Bendory of Tel Aviv University Electrical Engineering presents "Recovering small molecular structures using cryo-EM" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Any current cryo-EM algorithmic pipeline entails recovering the 3-D struct
From playlist 2022 Cryo-Electron Microscopy and Beyond
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)
Generalized Linear Model (Part A)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
On snakes and ladders - Verde - Workshop 2 - CEB T3 2018
Licia Verde (ICC Universidad de Barcelona) / 23.10.2018 On snakes and ladders ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter : https://twitter.com/InHen
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Mean v Median and the implications
Differences between the mean and median suggest the presence of outliers and/or the possible shape of a distribution
From playlist Unit 1: Descriptive Statistics
Statistics Lecture 1.1 Part 2: Key Words and Definitions
From playlist Statistics Playlist 1
Statistical methods in particle physics by Harrison Prosper
Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
The Physical, statistical, and computational challenges of Pulsar Timing by Justin Ellis
20 March 2017 to 25 March 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru This joint program is co-sponsored by ICTS and SAMSI (as part of the SAMSI yearlong program on Astronomy; ASTRO). The primary goal of this program is to further enrich the international collaboration in the area
From playlist Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy
Kyle Cranmer - Simulation-based Inference for Gravitational Wave Astronomy - IPAM at UCLA
Recorded 17 November 2021. Kyle Cranmer of New York University presents "Simulation-based Inference for Gravitational Wave Astronomy" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: I will briefly review the taxonomy of simulatio
From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy
Stefano Soatto: "Invariance and disentanglement in deep representations"
New Deep Learning Techniques 2018 "Invariance and disentanglement in deep representations" Stefano Soatto, University of California, Los Angeles (UCLA) Abstract: Theories of Deep Learning are like anatomical parts best not named explicitly in an abstract: Everyone seems to have one. That
From playlist New Deep Learning Techniques 2018
Vernier caliper / diameter and length of daily used objects.
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From playlist Fine Measurements