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616 results

rasmusab
bayesboot: An R package for easy Bayesian bootstrapping

In this talk, presented at UseR! 2016, I will explain the model behind the Bayesian bootstrap, how it connects to the classical ...

15:14
bayesboot: An R package for easy Bayesian bootstrapping

5,498 views

9 years ago

Erik Bekkers
13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)

See https://uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ...

15:24
13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020)

4,679 views

5 years ago

The Royal Society
The power of Bayesian reasoning | The Royal Society

What is Bayesian logic? And Bayesian statistics? How does the theory work? Sir David Spiegelhalter, Emeritus Professor of ...

4:56
The power of Bayesian reasoning | The Royal Society

6,931 views

1 month ago

NEON Science
Bayesian Hierarchical Models

This video in our Ecological Forecasting series introduces Bayesian hierarchical models as a way of capturing observable, but ...

8:17
Bayesian Hierarchical Models

38,193 views

5 years ago

Erik Bekkers
2.6 Bayesian Prediction (UvA - Machine Learning 1 - 2020)

See https://uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ...

19:46
2.6 Bayesian Prediction (UvA - Machine Learning 1 - 2020)

5,543 views

5 years ago

ESMARConf
ESMARConf2023: {metaBMA} tutorial

Presenter: Daniel Heck Authors: Heck, Daniel W. Session: Tutorials 9 Title: A Tutorial on Bayesian Model Averaging for ...

19:58
ESMARConf2023: {metaBMA} tutorial

809 views

2 years ago

Christina Knudson (Dr. Knudson)
3. Bayes Estimation Example

Now that we've been introduced all the ideas of Bayesian estimation let's tie it all together and do an example so in this example ...

9:10
3. Bayes Estimation Example

50,542 views

8 years ago

Erik Bekkers
4.5 Bayesian Predictive Distributions (UvA - Machine Learning 1 - 2020)

See https://uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ...

15:40
4.5 Bayesian Predictive Distributions (UvA - Machine Learning 1 - 2020)

4,405 views

5 years ago

rasmusab
Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman

This is a talk I presented at the UseR! 2015 conference in Aalborg, Denmark. It is a quick'n'dirty introduction to Approximate ...

19:41
Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman

10,053 views

10 years ago

Michael Dietze
Lesson 22c Hierarchical Bayes: JAGS examples

Boston University EE509 "Applied Environmental Statistics" Course: This lecture is the third in a series on Hierarchical Bayesian ...

12:25
Lesson 22c Hierarchical Bayes: JAGS examples

1,534 views

5 years ago

Erik Bekkers
5.3 Model Evidence Approximation and Empirical Bayes (UvA - Machine Learning 1 - 2020)

See https://uvaml1.github.io for annotated slides and a week-by-week overview of the course. This work is licensed under a ...

10:41
5.3 Model Evidence Approximation and Empirical Bayes (UvA - Machine Learning 1 - 2020)

3,630 views

5 years ago

Ralf Becker
Bayesian v Frequentist Inference

This clip outlines the basic difference in inference approaches taken by Frequentists on thone hand and Bayesians on the other.

8:19
Bayesian v Frequentist Inference

9,886 views

10 years ago

Riccardo Fusaroli
2 - Bayesian Inference - 2022 Bayesian Inference Workshop

General discussion of Bayesian inference at the 2022 Bayesian workshop taught by Riccardo Fusaroli and Christopher Cox at the ...

18:30
2 - Bayesian Inference - 2022 Bayesian Inference Workshop

864 views

4 years ago

Michael Dietze
Lesson 22a Hierarchical Bayes: Concepts

Boston University EE509 "Applied Environmental Statistics" Course: This lecture is the first in a series on Hierarchical Bayesian ...

14:53
Lesson 22a Hierarchical Bayes: Concepts

14,978 views

5 years ago

Christina Knudson (Dr. Knudson)
2. Bayes Estimation (part 2)
5:34
2. Bayes Estimation (part 2)

22,688 views

8 years ago

ESMARConf
ESMARConf2023: {RoBMA} tutorial

Presenter: František Bartoš Authors: Bartoš, František Session: Tutorials 4 Title: Adjusting for publication bias with the RoBMA R ...

16:50
ESMARConf2023: {RoBMA} tutorial

315 views

2 years ago

datalabcc
Bayes' Theorem - Mathematics - 3.3

Bayes theorem – and Bayesian statistics – allow you to adjust probabilities for information that you already know. For more on this ...

7:58
Bayes' Theorem - Mathematics - 3.3

2,389 views

8 years ago

ESMARConf
ESMARConf2022 Special Session 6: Quantitative synthesis with a Bayesian lens - František Bartoš

Presenter: František Bartoš Session: Special Session 6: Quantitative synthesis with a Bayesian lens Title: Adjusting for Publication ...

14:54
ESMARConf2022 Special Session 6: Quantitative synthesis with a Bayesian lens - František Bartoš

139 views

4 years ago

Benjamin Cole
Bayesian Course Project Presentation

MATH2269 - Applied Bayesian Analysis final Course Project presentation.

7:40
Bayesian Course Project Presentation

68 views

7 years ago

THUNK
130. Bayesian Epistemology & Predictive Processing | THUNK

Bayesian statistics - what are they? Do I want them? What do they have to do with epistemology, rationality, & prediction?

9:39
130. Bayesian Epistemology & Predictive Processing | THUNK

14,716 views

8 years ago