Statistical methods | Causal inference

Principal stratification

Principal stratification is a statistical technique used in causal inference when adjusting results for post-treatment covariates. The idea is to identify underlying strata and then compute causal effects only within strata. It is a generalization of the local average treatment effect (LATE). (Wikipedia).

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STRATIFIED, SYSTEMATIC, and CLUSTER Random Sampling (12-4)

To create a Stratified Random Sample, divide the population into smaller subgroups called strata, then use random sampling within each stratum. Strata are formed based on members’ shared (qualitative) characteristics or attributes. Stratification can be proportionate to the population size

From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)

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Introduction to Stratified, Cluster, Systematic, and Convenience Sampling

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to Stratified, Cluster, Systematic, and Convenience Sampling

From playlist Statistics

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Stephan Mescher (3/10/22): Geodesic complexity of Riemannian manifolds

Geodesic complexity is motivated by Farber’s notion of topological complexity of a space, which gives a topological description of the motion planning problem in robotics. Motivated by this, D. Recio-Mitter recently introduced geodesic complexity as an isometry invariant of geodesic spaces

From playlist Topological Complexity Seminar

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Valentijn Karemaker, Mass formulae for supersingular abelian varieties

VaNTAGe seminar, Jan 18, 2022 License: CC-BY-NC-SA Links to some of the papers mentioned in this talk: Oort: https://link.springer.com/chapter/10.1007/978-3-0348-8303-0_13 Honda: https://doi.org/10.2969/jmsj/02010083 Tate: https://link.springer.com/article/10.1007/BF01404549 Tate: https

From playlist Curves and abelian varieties over finite fields

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Principal Component Analysis

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Representing multivariate random signals using principal components. Principal component analysis identifies the basis vectors that describe the la

From playlist Random Signal Characterization

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Stratified random sampling (1)

Powered by https://www.numerise.com/ Stratified random sampling (1)

From playlist Collecting data

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Aasa Feragen : From free-spaces to stratified data spaces

Recording during the thematic meeting : "Geometrical and Topological Structures of Information" the September 01, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent

From playlist Geometry

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Beyond geometric invariant theory 1: Harder-Narasimhan theory by Daniel Halpern-Leistner

DISCUSSION MEETING: MODULI OF BUNDLES AND RELATED STRUCTURES ORGANIZERS : Rukmini Dey and Pranav Pandit DATE: 10 February 2020 to 14 February 2020 VENUE: Ramanujan Lecture Hall, ICTS, Bangalore Background: At its core, much of mathematics is concerned with the problem of classifying

From playlist Moduli Of Bundles And Related Structures 2020

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Zhiwei Yun - Introduction to Shtukas and their Moduli (1/3)

We will start with basic definitions of Drinfeld Shtukas and their moduli stacks. Then we will talk about its geometric and cohomological properties, and important constructions such as Hecke correspondences and partial Frobenius. We will also mention its relation with Drinfeld modules and

From playlist 2022 Summer School on the Langlands program

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Recursive combinatorial aspects of compactified moduli spaces – Lucia Caporaso – ICM2018

Algebraic and Complex Geometry Invited Lecture 4.3 Recursive combinatorial aspects of compactified moduli spaces Lucia Caporaso Abstract: In recent years an interesting connection has been established between some moduli spaces of algebro-geometric objects (e.g. algebraic stable curves)

From playlist Algebraic & Complex Geometry

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Active hydrodynamics by Sriram Ramaswamy

Stochastic Thermodynamics, Active Matter and Driven Systems DATE: 07 August 2017 to 11 August 2017 VENUE: Ramanujan Lecture Hall, ICTS Bangalore. Stochastic Thermodynamics and Active Systems are areas in statistical physics which have recently attracted a lot of attention and many intere

From playlist Stochastic Thermodynamics, Active Matter and Driven Systems - 2017

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Alexandra Skripchenko: Real-normalised differential with a single order 2 pole

CONFERENCE Recording during the thematic meeting : "Combinatorics, Dynamics and Geometry on Moduli Spaces" the September 22, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwid

From playlist Algebraic and Complex Geometry

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Gender Stratification: Crash Course Sociology #32

Today we’re looking at how society becomes stratified along gender lines. We’ll discuss Raewyn Connell’s concept of hegemonic masculinities and emphasized femininities. We’ll explore gender socialization in the home, media, and schools. Finally, we’ll explain how gender stratification resu

From playlist Sociology

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Beyond Kuramoto: a unifying theory of autoinduced oscillation in cell populations by Lei Han Tang

Stochastic Thermodynamics, Active Matter and Driven Systems DATE: 07 August 2017 to 11 August 2017 VENUE: Ramanujan Lecture Hall, ICTS Bangalore. Stochastic Thermodynamics and Active Systems are areas in statistical physics which have recently attracted a lot of attention and many intere

From playlist Stochastic Thermodynamics, Active Matter and Driven Systems - 2017

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Alison Etheridge: Spatial population models (3/4)

Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev

From playlist Summer School on Stochastic modelling in the life sciences

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Victoria Hoskins: Motives of stacks of sheaves and bundles on curves

28 September 2021 Abstract: I will present formulae for motives (with rational coeffcients) of moduli stacks of coherent sheaves and vector bundles on a smooth projective curve C of fixed rank and degree. The proof involves a rigidication using Flag-Quot schemes parametrising Hecke modica

From playlist Representation theory's hidden motives (SMRI & Uni of Münster)

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Is Racial Integration in Schools a Dead Issue?

(October 22, 2009) Professor Carter compares and contrasts approaches to racial integration in two democratic societies, the United States and South Africa, and she discusses the political and legal contexts of school desegregation begging the question of whether racial integration remains

From playlist Reunion Homecoming

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