Listen Score
LS 41
Global Rank
TOP 1.5%

MENGENAI PODCAST INI 🔗

Kekerapan kemas kini:
every 6 days
Purata panjang audio:
57 minutes
Temu bual tetamu
Mempunyai penaja
Bahasa Inggeris
Amerika Syarikat
222 episod
sejak 20 Sep 2019
episodic

AUDIENCE OF THIS PODCAST 🔗

~54.82% of listeners are from United States.
🇺🇸
US
54.82%
🇬🇧
GB
15.32%
🇨🇦
CA
7.79%
🇩🇪
DE
3.17%
🇧🇷
BR
1.71%
🇷🇴
RO
1.58%
🇪🇸
ES
1.45%
🇫🇮
FI
1.32%
🇮🇳
IN
1.18%
🇫🇷
FR
1.18%
🇦🇺
AU
1.05%
🇦🇷
AR
0.92%
🇸🇪
SE
0.79%
🇮🇹
IT
0.79%
🇰🇷
KR
0.66%
🇨🇿
CZ
0.66%
🇿🇦
ZA
0.66%
🇱🇺
LU
0.66%
🇧🇬
BG
0.52%
🇳🇱
NL
0.39%
🇦🇹
AT
0.39%
🇲🇽
MX
0.26%
🇳🇿
NZ
0.26%
🇧🇪
BE
0.26%
🇽🇰
XK
0.26%
🇰🇪
KE
0.13%
🇮🇪
IE
0.13%
🇸🇩
SD
0.13%
🇹🇼
TW
0.13%
🇹🇷
TR
0.13%
🇸🇦
SA
0.13%
🇺🇦
UA
0.13%
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ET
0.13%
🇸🇬
SG
0.13%
🇳🇬
NG
0.13%
🇨🇱
CL
0.13%
🇮🇶
IQ
0.13%
🇵🇦
PA
0.13%
🇳🇴
NO
0.13%
Others
0.13%
* Data source: directly measured on Listen Notes. masa nyata

EPISOD TERKINI 🔗

Today's clip is from Episode 166, featuring Bill Engels & Jesse Grabowski. In this conversation, Bill explains what a kernel means in a Gaussian process and how it defines the idea of similarity between data points. He then breaks down the role of the length scale, showing how it controls ho ...

CARI EPISOD LEPAS

Cari episod lepas bagi Learning Bayesian Statistics.

EPISOD SEBELUMNYA

Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Takeaways: Q: What is PTGP and why did Bill and Jesse build it?A: PTGP is a new Gau ...
Today's clip is from Episode 165, featuring Alex Fengler. In this conversation, Alex introduces Bayesify , a tool that uses AI to analyze research papers and assess how well they follow a Bayesian workflow.He explains how the tool breaks an analysis down step by step, identifies strengths and we ...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Takeaways: Q: What is HSSM and how does it relate to HDDM?A: HSSM stands for hierar ...
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains how Bayesian principal stratification can be used to reason about treatment effects when there is an intermediate treatment or outcome that is only partially obse ...
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains why a Bayesian workflow goes far beyond simply fitting a model. He discusses the importance of building, fitting, and checking models, and why moving between simp ...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work Takeaways:Q: What is the "Bayesian Workflow" book about, and who is it for? A: It c ...
Today's clip is from Episode 154, featuring Thomas Pinder. In this conversation, Thomas shares what he sees as the next steps for GPJax and how the project could become easier to use beyond its original research-focused audience.He discusses creating a higher-level interface that could make fitt ...
Today's clip is from Episode 163, featuring Eliot Carlson and Adrian Seyboldt. In this conversation, Eliot and Adrian look beyond current approaches to HMC adaptation and preconditioning and share the ideas they're most excited to explore next.Eliot discusses new ways of parallelizing MCMC by so ...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work Takeaways:Q: What is mass matrix adaptation, in plain terms?A: Mass matrix adaptatio ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Alexandre Andorra, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.