Definition of an estimator. Examples of estimators. Definition of an unbiased estimator.
From playlist Machine Learning
Raúl Tempone: Adaptive strategies for Multilevel Monte Carlo
Abstract: We will first recall, for a general audience, the use of Monte Carlo and Multi-level Monte Carlo methods in the context of Uncertainty Quantification. Then we will discuss the recently developed Adaptive Multilevel Monte Carlo (MLMC) Methods for (i) It Stochastic Differential Equ
From playlist Probability and Statistics
Maximum Likelihood Estimation Examples
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Three examples of applying the maximum likelihood criterion to find an estimator: 1) Mean and variance of an iid Gaussian, 2) Linear signal model in
From playlist Estimation and Detection Theory
(ML 17.3) Monte Carlo approximation
From playlist Machine Learning
Introduction to Estimation Theory
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
From playlist Estimation and Detection Theory
Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU)
A Google TechTalk, presented by Adam Smith, 2021/11/9 ABSTRACT: Differentially Private Covariance-Adaptive Mean Estimation Covariance-adaptive mean estimation is a fundamental problem in statistics, where we are given n i.i.d. samples from a d-dimensional distribution with mean $\mu$ and
From playlist 2021 Google Workshop on Federated Learning and Analytics
Adaptive Quadrature | Lecture 41 | Vector Calculus for Engineers
What is adaptive quadrature? Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my channel: http://www.youtube.com/user/jchasnov?sub_confirmation=1
From playlist Numerical Methods for Engineers
DDPS | Towards reliable, efficient, and automated model reduction of parametrized nonlinear PDEs
Description: Many engineering tasks, such as parametric study and uncertainty quantification, require rapid and reliable solution of partial differential equations (PDEs) for many different configurations. In this talk, we consider goal-oriented model reduction of parametrized nonlinear PD
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Veronika Ročková: Bayesian Spatial Adaptation
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 09, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
From playlist Plenary talks One World Symposium 2020
Rigorous Data Dredging...Data Analysis - Aaron Roth
Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu
From playlist Differential Privacy Symposium - November 12, 2016
Martin Vohralík: Adaptive inexact Newton methods and their application to multi-phase flows
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Numerical Analysis and Scientific Computing
Linear regression (5): Bias and variance
Inductive bias; variance; relationship to over- & under-fitting
From playlist cs273a
Experimental optical phase measurement at the exact (...) - H. Wiseman - PRACQSYS 2018 - CEB T2 2018
Howard M. Wiseman (Centre for Quantum Computation and Communication Technology - Australian Research Council & Centre for Quantum Dynamics, Griffith University, Brisbane, Queensland, Australia) / 03.07.2018 Experimental optical phase measurement at the exact Heisenberg limit The task of
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Engineering CEE 20: Engineering Problem Solving. Lecture 24
UCI CIvil & Environmental Engineering 20 Engineering Problem Solving (Spring 2013) Lec 24. Engineering Problem Solving View the complete course: http://ocw.uci.edu/courses/cee_20_introduction_to_computational_engineering_problem_solving.html Instructor: Jasper Alexander Vrugt, Ph.D. Licen
From playlist Engineering CEE 20: Engineering Problem Solving
Elisabeth Gassiat: Bayesian multiple testting for dependent data and hidden Markov... - lecture 2
HYBRID EVENT Recorded during the meeting "End-to-end Bayesian Learning Methods " the October 28, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's
From playlist Probability and Statistics
On Adaptation, Epistasis and Fitness Landscapes - Lecture 1 by Claudia Bank
ORGANIZERS : Vidyanand Nanjundiah and Olivier Rivoire DATE & TIME : 16 April 2018 to 26 April 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This program is aimed at Master's- and PhD-level students who wish to be exposed to interesting problems in biology that lie at the biology-
From playlist Living Matter 2018
Adaptive Sampling via Sequential Decision Making - András György
The workshop aims at bringing together researchers working on the theoretical foundations of learning, with an emphasis on methods at the intersection of statistics, probability and optimization. Lecture blurb Sampling algorithms are widely used in machine learning, and their success of
From playlist The Interplay between Statistics and Optimization in Learning
Michael Bertolacci - AdaptSPEC-X: Spectral analysis of multiple non stationary time series
Dr Michael Bertolacci (University of Wollongong) presents “AdaptSPEC-X: Spectral analysis of multiple non stationary time series”, 08/10/2020. Seminar organised by ANU.
From playlist Statistics Across Campuses