Computational statistics journals
Communications in Statistics is a peer-reviewed scientific journal that publishes papers related to statistics. It is published by Taylor & Francis in three series, Theory and Methods, Simulation and Computation, and Case Studies, Data Analysis and Applications. (Wikipedia).
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Lecture01 Introduction to this course on medical statistics
A new course in medical statistics using widely available spreadsheet software.
From playlist Medical Statistics
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
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)
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
Statistics Lecture 7.2 Part 2: Finding Confidence Intervals for the Population Proportion
From playlist Statistics Playlist 1
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Statistics Lecture 7.2 Part 3: Finding Confidence Intervals for the Population Proportion
From playlist Statistics Playlist 1
Introduction to Signal Processing
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introductory overview of the field of signal processing: signals, signal processing and applications, phi
From playlist Introduction and Background
Susan Holmes: How statistics are reshaping our understanding of biology
A leading statistician discusses her discipline’s growing influence on biology and why she thinks the most important skill for the biostatistician may be communication, not analysis. In recent years, biologists have learned that the vaginal microbiome — the make-up of the bacteria in the
From playlist The Future of Everything
Statistical analysis of networks - Professor Gesine Reinert, University of Oxford
Networks have become increasingly popular as representations of complex data. How can we make sense of such data? The first class will cover some network summaries and some parametric models for networks, while the second class concerns statistical inference using these network summaries a
From playlist Data science classes
Bayesian or Frequentist: What Does It Mean? (Chelsea Parlett) - KNN Ep. 55
Chelsea is a full time faculty member teaching undergraduate Data Science and Computer Science, and earned her PhD this year in Computational and Data Science. She also does casual statistical consulting at the Chatistician which aims to empower people to do their own statistics well. In h
From playlist Ken's Nearest Neighbors Podcast
Fellow Short Talks: Dr Quentin Berthet, Cambridge University
Quentin Berthet is a Lecturer in the Statslab, in the DPMMS at Cambridge, and a fellow of St John’s College, since 2015. He is a former student of the Ecole Polytechnique, received a Ph.D. from Princeton University in 2014, and was a CMI postdoctoral fellow at Caltech. RESEARCH Dr Berthe
From playlist Short Talks
David Spiegelhalter: Communicating statistics in the time of COVID | The Royal Society
Winner of the 2020 Michael Faraday Prize and Lecture, Professor David Spiegelhalter discusses his work in statistics and how to understand risk with Tim Harford, columnist, broadcaster and author of How To Make The World Add Up. Professor David Spiegelhalter is Chair of the Winton Centre
From playlist Covid-19
Characterizing force-chain network architecture in granular materials - Danielle Bassett
Danielle Bassett University of Pennsylvania April 18, 2015 Force chains form heterogeneous physical structures that can constrain the mechanical stability and acoustic transmission of granular media. However, despite their relevance for predicting bulk properties of materials, there is no
From playlist Mathematics
Nexus Trimester - Ankit Garg (Princeton)
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality Ankit Garg (Princeton) March 03, 2016 Abstract: We study the tradeoff between the statistical error and communication cost of distributed statistical estimation problems in high di
From playlist Nexus Trimester - 2016 - Central Workshop
Nexus Trimester - Matthieu Bloch (Georgia Tech)
Covert Communication over Noisy Channels : Towards Steatlth Networks Matthieu Bloch (Georgia Tech) March 25, 2016 Abstract: The benefits offered by ubiquitous communication networks are now mitigated by the relative ease with which malicious users can interfere or tamper with sensitive d
From playlist Nexus Trimester - 2016 - Secrecy and Privacy Theme
Danilo Bzdok: "Algorithmic Analytics towards Precision Psychiatry"
Computational Psychiatry 2020 "Algorithmic Analytics towards Precision Psychiatry" Danilo Bzdok - McGill University Abstract: Neuroscience datasets are constantly increasing in resolution, sample size, multi-modality, and meta-information complexity. This opens the brain imaging field to
From playlist Computational Psychiatry 2020
Statistics Lecture 2.2 Part 4: Frequency Distribution and Histograms
From playlist Statistics Playlist 1
Local Statistics, Semidefinite Programming, and Community Detection - Prasad Raghavendra
Computer Science/Discrete Mathematics Seminar I Topic: Local Statistics, Semidefinite Programming, and Community Detection Speaker: Prasad Raghavendra Affiliation: University of California, Berkeley Date: May 4, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics