Population monotonicity (PM) is a principle of consistency in allocation problems. It says that, when the set of agents participating in the allocation changes, the utility of all agents should change in the same direction. For example, if the resource is good, and an agent leaves, then all remaining agents should receive at least as much utility as in the original allocation. The term "population monotonicity" is used in an unrelated meaning in the context of apportionment of seats in the congress among states. There, the property relates to the population of an individual state, which determines the state's entitlement. A population-increase means that a state is entitled to more seats. This different property is described in the page state-population monotonicity. (Wikipedia).
Populations, Samples, Parameters, and Statistics
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From playlist Statistics
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
The Mathematics of Population Growth Using Linear Models
Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.
From playlist Discrete Math
ParamHypTestsP1.6.2 Sample Z-Test
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Parametric Hypothesis Tests, Part 1
Discrete Populations Mean, Variance and Standard Deviation
Discrete Populations Mean, Variance and Standard Deviation
From playlist Exam 1 material
Statistics Lecture 7.2 Part 7: Finding Confidence Intervals for the Population Proportion
From playlist Statistics Playlist 1
What is a Unimodal Distribution?
Quick definition of a unimodal distribution and how it compares to a bimodal distribution and a multimodal distribution.
From playlist Probability Distributions
Moshe Goldstein: "Correlation induced band competition in oxide interfaces: (001) vs. (111) LAO/STO"
Theory and Computation for 2D Materials "Correlation induced band competition in oxide interfaces: (001) vs. (111) LAO/STO" Moshe Goldstein, Tel Aviv University Abstract: The interface between the two insulating oxides SrTiO3 and LaAlO3 gives rise to a two-dimensional electron system wit
From playlist Theory and Computation for 2D Materials 2020
Covariance (3 of 17) Population vs Sample Variance
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference and calculate the variance of a population and the variance of a sample of a population. Next video in
From playlist COVARIANCE AND VARIANCE
Levon Nurbekyan: "Computational methods for nonlocal mean field games with applications"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Computational methods for nonlocal mean field games with applications" Levon Nurbekyan - University of California, Los Angeles (UCLA) Abstract: We introduce a novel framework to model and solve me
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Evolutionary pathways to antibiotic resistance by Joachim Krug
PROGRAM STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (ONLINE) ORGANIZERS: Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE: 07 December 2020 to 18 December 2020 VENUE: Online 'Fluctuation-and-noise' are theme
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
Mathematical Biology. 08: Phase Diagrams
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 08. Intro to Mathematical Modeling in Biology: Phase Diagrams View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook
From playlist Math 113B: Mathematical Biology
Uncoupled isotonic regression - Jonathan Niles-Weed
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From playlist Mathematics
Yves Achdou: Numerical methods for mean field games - Monotone finite difference schemes
Abstract: Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number n of agents tends to infinity.
From playlist Numerical Analysis and Scientific Computing
Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
https://www.patreon.com/ProfessorLeonard Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
From playlist Statistics (Full Length Videos)
Selection Bias Example 4 — Full Adherence
Today I again talk about selection bias but introduce two new topics, Full Adherence and Intention To Treat (ITT) effect.
From playlist Causal Inference - The Science of Cause and Effect
Chenchen Mou: "Weak solutions of second order master equations for MFGs with common noise"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Weak solutions of second order master equations for mean field games with common noise" Chenchen Mou - University of California, Los Angeles (UCLA) Abstract: In this talk we study master equations
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Two-dimensional random field Ising model at zero temperature - Jian Ding
Analysis Seminar Topic: Two-dimensional random field Ising model at zero temperature Speaker: Jian Ding Affiliation: The Wharton School, The University of Pennsylvania Date: April 5, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Non-Equilibrium Multi-Scale Analysis and Coexistence in Competing FPP by Alexandre Stauffer
PROGRAM FIRST-PASSAGE PERCOLATION AND RELATED MODELS (HYBRID) ORGANIZERS: Riddhipratim Basu (ICTS-TIFR, India), Jack Hanson (City University of New York, US) and Arjun Krishnan (University of Rochester, US) DATE: 11 July 2022 to 29 July 2022 VENUE: Ramanujan Lecture Hall and online This
From playlist First-Passage Percolation and Related Models 2022 Edited
Statistics: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn if the number of samples is greater than or equal to 25 then: 1) the distribution of the sample means is a normal distr
From playlist STATISTICS CH 7 SAMPLE VARIABILILTY